A Taxonomy of Social Errors in Human-Robot Interaction
Open accessAbstract
Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, current HRI is far from error-free, especially when a system leaves controlled lab environments and is applied to in-the-wild conditions. Errors in HRI may either degrade a user’s perception of a robot’s capability in achieving a task (defined as performance errors in this work) or degrade a user’s perception of a robot’s socio-affective competence (defined as social errors in this work). The impact of these errors and effective strategies to handle such an impact remains an open question. We focus on social errors in HRI in this work. In particular, we identify the major attributes of perceived socio-affective competence by reviewing human social interaction studies and HRI error studies. This motivates us to propose a taxonomy of social errors in HRI. We then discuss the impact of social errors situated in three representative HRI scenarios. This article provides foundations for a systematic analysis of the social-emotional dimension of HRI. The proposed taxonomy of social errors encourages the development of user-centered HRI systems, designed to offer positive and adaptive interaction experiences and improved interaction outcomes.
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14 of 119 cited sources checked · 6 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Giuliani et al. [115,116] found that participants showed more social signals when robots violated social norms compared to when they exhibited technical failures.
“In their further investigations [115,116], they also found that participants showed more social signals when robots violated social norms compared to when they exhibited technical failures.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [115] 115. Nicole Mirnig, Manuel Giuliani, Gerald Stollnberger, Susanne Stadler, Roland Buchner, and Manfred Tscheligi. 2015. Impact of robot actions on social signals and reaction times in HRI error situations. In Proceedings of the International Conference on Social Robotics. Springer, 461-471. source
- cites [116] 116. Nicole Mirnig, Gerald Stollnberger, Markus Miksch, Susanne Stadler, Manuel Giuliani, and Manfred Tscheligi. 2017. To err is robot: How humans assess and act toward an erroneous social robot. Front. Robot. AI 4 (2017), 21. source
The Results (§3.2.1.3; page unavailable) report an average of 1.36 social signals during social norm violations versus 1.53 during technical failures, with no statistically significant difference. The Discussion (§4; page unavailable) also reports significantly more gaze shifts, facial expressions, and head and body movements during technical failures. It notes that an earlier study found more gaze shifts during social norm violations, but that is not the finding of this cited study. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Emotional responses to a stimulus vary with time and context.
“Emotional responses to a stimulus also vary with time and context.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [110] 110. Stacy C. Marsella and Jonathan Gratch. 2009. EMA: A process model of appraisal dynamics. Cog. Syst. Res. 10, 1 (2009), 70-90. source
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- Interpretationcitation
Distinguishing social errors and performance errors provides additional insights to how users react to HRI errors.
“The work of Giuliani et al. [56] indicated that distinguishing social errors and performance errors provides additional insights to how users react to HRI errors.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [56] 56. Manuel Giuliani, Nicole Mirnig, Gerald Stollnberger, Susanne Stadler, Roland Buchner, and Manfred Tscheligi. 2015. Systematic analysis of video data from different human-robot interaction studies: A categorization of social signals during error situations. Front. Psychol. 6 (2015), 931. source
- Findingcitation
To the best of our knowledge, the only recent HRI error study that distinguished social errors and performance errors is the work of Giuliani et al. [56].
“To the best of our knowledge, the only recent HRI error study that distinguished social errors and performance errors is the work of Giuliani et al. [56].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [56] 56. Manuel Giuliani, Nicole Mirnig, Gerald Stollnberger, Susanne Stadler, Roland Buchner, and Manfred Tscheligi. 2015. Systematic analysis of video data from different human-robot interaction studies: A categorization of social signals during error situations. Front. Psychol. 6 (2015), 931. source
- Premisecitation
Giuliani et al. [56] found that participants talked more when a robot exhibited social norm violations compared to when it exhibited technical failures.
“In particular, participants talked more when a robot exhibited social norm violations compared to when it exhibited technical failures.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [56] 56. Manuel Giuliani, Nicole Mirnig, Gerald Stollnberger, Susanne Stadler, Roland Buchner, and Manfred Tscheligi. 2015. Systematic analysis of video data from different human-robot interaction studies: A categorization of social signals during error situations. Front. Psychol. 6 (2015), 931. source
- Findingreasoning
Combining Tables 1, 2, and 3, the paper identifies 30 major attributes of socio-affective competence under five categories, which people use to evaluate social interaction and their social relationship with others.
“Combining Tables 1, 2, and 3, we identify 30 major attributes of socio-affective competence under five categories, which people use to evaluate social interaction and their social relationship with”
Quote in the paperSubstantial claim - Findingnone given
The paper's review exposed that in human studies, a number of socio-affective competence dimensions rely on subjective measurements, such as self-reported questionnaires used to assess assertiveness.
“Our review exposed that in human studies, a number of socio-affective competence dimensions rely on subjective measurements, such as self-reported questionnaires used to assess assertiveness.”
Quote in the paperSubstantial claim - Findingnone given
The performance aspect and social aspect of HRI are often not distinguished in current HRI studies.
“The performance aspect and social aspect of HRI are often not distinguished in current HRI studies.”
Quote in the paperNot a substantial claim - Findingreasoning
Existing taxonomies of errors in HRI classify errors either by their causes and responsible functional components or by the magnitude of their consequences and the difficulty in recovering from them.
“These existing taxonomies of errors in HRI classify errors either by their causes and responsible functional components or by the magnitude of their consequences and the difficulty in recovering from them.”
Quote in the paperSubstantial claim - Findingreasoning
The influence errors may have on a user's perceptions of the system or their interaction behaviors have not yet been considered in existing taxonomies.
“The influence errors may have on a user's perceptions of the system or their interaction behaviors have not yet been considered.”
Quote in the paperNot a substantial claim - Premisecitation
Compliance and adaption to mutually agreed social norms are essential to establishing social relationships.
“However, compliance and adaption to mutually agreed social norms are essential to establishing social relationships [169].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [169] 169. Peggy A. Thoits. 2004. Emotion norms, emotion work, and social order. In Feelings and Emotions: The Amsterdam Symposium. Cambridge University Press, New York, NY, 359-378. source
- Premisecitation
Psychology and neuroscience studies identify three main intrapersonal functions of emotions: attention-directing, informational, and motivational.
“Psychology and neuroscience studies identify three main intrapersonal functions of emotions: (1) the attention-directing function, i.e., emotions allow better allocation of limited cognitive resources [162]; (2) the informational function, i.e., emotions provide a high-level evaluation of events based on their relationship with someone's internal beliefs and desires [164]; and (3) the Motiv”
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- Interpretationreasoning
When a robot violates social norms, it may significantly influence a user's perception of the robot.
“Thus, when a robot violates social norms, it may significantly influence a user's perception of the robot.”
Quote in the paperSubstantial claim- Rests on an assumption: Errors in HRI may have a significant impact on a user's perception of a robot.
- Premisecitation
Existing research on errors in HRI investigates errors either from a causal perspective, such as classifying them into physical errors and human errors, or from the consequence perspective, such as classifying them into benign errors and catastrophic errors.
“Existing research on errors in HRI investigates errors either from a causal perspective, such as classifying them into physical errors and human errors [23], or from the consequence perspective, such as classifying them into benign errors and catastrophic errors [94].”
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- Premisecitation
Previous research on errors in HRI has focused on errors in the functional requirements of a robot, such as navigation.
“Previous research on errors in HRI has focused on errors in the functional requirements of a robot, such as navigation [155].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [155] 155. Maha Salem, Gabriella Lakatos, Farshid Amirabdollahian, and Kerstin Dautenhahn. 2015. Would you trust a (faulty) robot?: Effects of error, task type and personality on human-robot cooperation and trust. In Proceedings of the 10th ACM/IEEE International Conference on Human-robot Interaction. ACM, 141-148. source
- Interpretationnone given
Assessments of empathy and social skills share attributes that reflect the main dimensions of human perception of empathy and social skills of self and others.
“These assessments of empathy and social skills share attributes that reflect the main dimensions of human perception of empathy and social skills of self and others.”
Quote in the paperNot a substantial claim - Premisecitation
The degree of convergence in human dyadic interaction is positively correlated with the overall success of collaboration and positive attitudes of team members.
“The degree of convergence in human dyadic interaction has also been found to be positively correlated with the overall success of collaboration and positive attitudes of team members [101].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] 101. Rivka Levitan, Agustín Gravano, Laura Willson, Stefan Benus, Julia Hirschberg, and Ani Nenkova. 2012. Acoustic- prosodic entrainment and social behavior. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 11-19.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
For a robot to achieve social goals, it requires emotional interaction functions, including identifying, processing, and expressing emotions during interpersonal communication.
“Thus, for a robot to achieve social goals, it also requires emotional interaction functions, including identifying, processing, and expressing emotions during interpersonal communication.”
Quote in the paperSubstantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
- Premisecitation
Social robots are used for diagnosing and social skill practice of children with Autism Spectrum Disorders (ASD).
“An example of interventions for individuals with impaired mental abilities is the use of social robots for diagnosing and social skill practice of children with Autism Spectrum Disorders (ASD) [39].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] 39. Joshua J. Diehl, Charles R. Crowell, Michael Villano, Kristin Wier, Karen Tang, and Laurel D. Riek. 2014. Clinical applications of robots in autism spectrum disorder diagnosis and treatment. In Comprehensive Guide to Autism. Springer, 411-422. source
- Premisecitation
Behaviors and physiological responses across individuals differ when they experience the same emotion.
“Behaviors and physiological responses across individuals also differ when they experience the same emotion.”
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- Premisecitation
In educational scenarios, entrainment is an indicator for better learning outcomes and mutual understanding.
“In educational scenarios, entrainment has been identified as an indicator for better learning outcomes and mutual understanding [128].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [128] 128. Sharon Oviatt. 2013. The Design of Future Educational Interfaces. Routledge. source
- Premisecitation
Empathy often leads to behavioral and relational outcomes.
“Empathy often leads to behavioral and relational outcomes.”
Quote in the paperNot a substantial claim - Premisecitation
Emotions are culture-specific in their definition and expression.
“Emotions are also culture-specific in their definition and expression.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Empathy is important for the formation and maintenance of social relationships.
“It is also important for the formation and maintenance of social relationships [34].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] 34. Jean Decety and Philip L. Jackson. 2004. The functional architecture of human empathy. Behav. Cog. Neurosci. Rev. 3, 2 (2004), 71-100. source
- Premisecitation
Emotional expressions and reactions to other's emotions are essential for establishing social relationships.
“Emotional expressions and reactions to other's emotions were found to be essential for establishing social relationships [103].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [103] 103. M. Lewis, J. M. Laviland-Jones, and L. Fildman Barret. 2012. Self-conscious emotions-embarrassment, pride, shame, and guilt. Handbook of Emotions. The Guilford Press.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Co-occurrence in behavioral patterns of emotional expressions between conversational dyads is a predictor of rapport in collaborative problem-solving.
“Co-occurrence in behavioral patterns of emotional expressions between conversational dyads has been shown to be a predictor of rapport in collaborative problem-solving [108].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [108] 108. Michael A. Madaio, Rae Lasko, Justine Cassell, and Amy Ogan. 2017. Using temporal association rule mining to predict dyadic rapport in peer tutoring. In Proceedings of the 10th International Conference on Educational Data Mining.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Social robots are used for elderly care, especially for people with impaired cognitive functions, such as dementia patients.
“Regarding the provision of companionship and care to individuals living alone, an example is the use of social robots for elderly care, especially for people with impaired cognitive functions, such as dementia patients [119].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] 119. Elaine Mordoch, Angela Osterreicher, Lorna Guse, Kerstin Roger, and Genevieve Thompson. 2013. Use of social commitment robots in the care of elderly people with dementia: A literature review. Maturitas 74, 1 (2013), 14-20. source
- Premisecitation
In peer tutoring, tutees with privacy or trust concerns toward their tutor can feel demotivated to participate in learning activities.
“For example, in peer tutoring, when the tutees have privacy or trust concerns toward their tutor, they can feel demotivated to participate in learning activities [5].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] 5. Mohd Anwar and Jim Greer. 2012. Facilitating trust in privacy-preserving e-learning environments. IEEE Trans. Learn. Technol. 5, 1 (2012), 62-73. source
- Premisecitation
Rossi et al. [147] reported both performance and social errors being perceived as severe.
“These scenarios are a mix of performance errors and social errors by our definition, and Rossi et al. [147] have reported both types of error being perceived as severe.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [147] 147. Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, and Michael L. Walters. 2017. Human perceptions of the severity of domestic robot errors. In Proceedings of the International Conference on Social Robotics. Springer, 647-656. source
- Interpretationreasoning
Socio-affective competence has a large impact on human collaborative and organizational behaviors and their outcomes.
“Beyond social communication and interpersonal relationships, socio-affective competence has a large impact on human collaborative and organizational behaviors and their outcomes.”
Quote in the paperSubstantial claim - Premisecitation
Erratic behaviors of a robot do not necessarily lead to observable changes in interaction behaviors or compliances in short-term HRI.
“Note that erratic behaviors of a robot do not necessarily lead to observable changes in interaction behaviors or compliances in short-term HRI [155].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [155] 155. Maha Salem, Gabriella Lakatos, Farshid Amirabdollahian, and Kerstin Dautenhahn. 2015. Would you trust a (faulty) robot?: Effects of error, task type and personality on human-robot cooperation and trust. In Proceedings of the 10th ACM/IEEE International Conference on Human-robot Interaction. ACM, 141-148. source
- Premisecitation
Erratic behaviors of a robot can influence other attributes of a user's perception, such as perceived naturalness of the HRI experience.
“Additional to trust, other attributes of a user's perception can be influenced by erratic behaviors of a robot, such as perceived naturalness of the HRI experience [73].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] 73. Chien-Ming Huang and Bilge Mutlu. 2014. Learning-based modeling of multimodal behaviors for humanlike robots. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction. ACM, 57-64. source
- Premisecitation
The ability to establish and reciprocate trust is fundamental to successful and effective collaboration.
“For example, the ability to establish and reciprocate trust is fundamental to successful and effective collaboration [172].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [172] 172. Tom Richard Tyler. 1996. Trust in Organizations: Frontiers of Theory and Research. Sage. source
- Interpretationcitation
How a robot reciprocates a user's trust may also influence the interaction.
“Beyond changes in a user's trust caused by the environment perspective, the human perspective, or the robot perspective of HRI, how a robot reciprocates a user's trust may also influence the interaction.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A robot's ability to inspire trust in its user may also influence the effectiveness of its error recovery strategies.
“Thus, a robot's ability to inspire trust in its user may also influence the effectiveness of its error recovery strategies.”
Quote in the paperNot a substantial claim - Premisecitation
A robot able to express emotions and use appropriate gaze behaviors inspires cooperative and adaptive behaviors in its human teammates, resulting in more successful and efficient collaboration compared to robots without emotional expression or with random gaze behaviors.
“For instance, a robot able to express emotions and use appropriate gaze behaviors was found to inspire cooperative and adaptive behaviors in its human teammates, which resulted in more successful and efficient collaboration compared to robots without emotional expression or with random gaze behaviors [69].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] 69. Guy Hoffman and Cynthia Breazeal. 2004. Collaboration in human-robot teams. In Proceedings of the AIAA 1st Intelligent Systems Technical Conference. 6434. source
- Premisecitation
A person with dementia can exhibit negative or labile emotions because of his dementia.
“It is also important to take into account that Frank can exhibit negative or labile emotions because of his dementia [138].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [138] 138. K. P. Rankin, E. Baldwin, C. Pace-Savitsky, J. H. Kramer, and B. L. Miller. 2005. Self awareness and personality change in dementia. J. Neurol. Neurosurg. Psychia. 76, 5 (2005), 632-639. source
- Premisecitation
When people interact with a receptionist robot, they expect social interactions in addition to question-answering.
“When people interact with a receptionist robot, they expect social interactions in addition to question-answering [125].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [125] 125. Carlo Nuccio, Agnese Augello, Salvatore Gaglio, and Giovanni Pilato. 2017. Interaction capabilities of a robotic receptionist. In Proceedings of the International Conference on Intelligent Interactive Multimedia Systems and Services. Springer, 171-180. source
- Interpretationreasoning
Adaption to the progress of a user's dementia is required for a robot carer's support to remain effective over time.
“Furthermore, adaption to the progress of Frank's dementia is required for Calvin's support to remain effective over time.”
Quote in the paperNot a substantial claim - Interpretationreasoning
If a robot follows the exact same script without adjusting to a visitor's interests, it may soon lose its audience's attention.
“For example, if Olivaw follows the exact same script for introducing the department without adjusting to a visitor's interests (E1.4 unresponsive to user's emotions), it may soon lose its audience's attention.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Without proper monitoring of a user's emotional state, it will be difficult to design a robot to provide personalized and engaging interactive experiences.
“However, without proper monitoring of a user's emotional state (E1.1 emotion recognition errors), it will be difficult to design Olivaw to provide personalized and engaging interactive experiences.”
Quote in the paperSubstantial claim - Interpretationreasoning
The paper's proposed HRI error taxonomy provides a user-centered perspective instead of the functional focus of previous work.
“Compared to previous work, our proposed HRI error taxonomy provides a user-centered perspective instead.”
Quote in the paperSubstantial claim - Interpretationcitation
Such an effect may disappear when errors occur repeatedly and when the novelty effect has worn off.
“Although such an effect may disappear when errors occur repeatedly and when the novelty effect [84] has worn off.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [84] 84. Adam Kendon. 1990. Conducting Interaction: Patterns of Behavior in Focused Encounters. Vol. 7. CUP Archive. source
- Interpretationnone given
The temporal aspect can influence a user's reception and perception of a robot.
“Beyond the performance and social aspects of HRI errors, the temporal aspect can influence a user's reception and perception of a robot as well.”
Quote in the paperNot a substantial claim - Premisecitation
Misjudgments in human-robot collaboration may also result in a negative impact on the emotional states of humans in the team.
“Misjudgments in human-robot collaboration may also result in a negative impact on the emotional states of humans in the team [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] 13. Andrea Bauer, Dirk Wollherr, and Martin Buss. 2008. Human-robot collaboration: A survey. Int. J. Human. Robot. 5, 01 (2008), 47-66. source
- Interpretationcitation
If a robot displays behaviors mismatching the perceived intimacy level, it may induce feelings of unease and arouse more rejections or conflicts during the interaction.
“If Olivaw displays behaviors mismatching the perceived intimacy level (E2.2 errors in adjusting behaviors according to social contexts), for instance standing too close to a first-time visitor while having a conversation, it may induce feelings of unease in the person and arouse more rejections or conflicts during the interaction [6].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] 6. Michael Argyle and Janet Dean. 1965. Eye-contact, distance and affiliation. Sociometry 28, 3 (1965), 289-304. source
- Interpretationreasoning
Not incorporating interaction history and frequency of visits may reduce a user's satisfaction towards a receptionist robot's service.
“Thus, not incorporating interaction history and frequency of visits may reduce a user's satisfaction towards its service (E2.1 absent recognition of social context).”
Quote in the paperSubstantial claim - Interpretationreasoning
Failures to establish mutual understanding may cause difficulty in building a social relationship between a user and a robot over time.
“Failures to do so (E1.6 unable to establish mutual understanding) may cause difficulty in building a social relationship between Frank and Calvin over time.”
Quote in the paperSubstantial claim - Interpretationreasoning
The negative impact of a robot's errors in its empathic and emotional reaction may be magnified over time under extreme circumstances.
“Thus, the negative impact of Reventlov's errors in its empathic and emotional reaction may be magnified over time under such circumstances.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Failure in establishing mutual understanding and affective grounding can result in misjudgment of the goal of a task or inaccurate estimation of the appropriateness of an action or response, especially in long-term HRI.
“Failure in establishing mutual understanding and affective grounding (E1.6) can result in misjudgment of the goal of a task or inaccurate estimation of the appropriateness of an action or response, especially in long-term HRI.”
Quote in the paperSubstantial claim - Interpretationreasoning
Failures in a robot's emotion synthesis functions can result in difficulties for its collaborators to perceive its intentions.
“Similarly, failures in Reventlov's emotion synthesis functions (E1.2) can result in difficulties for its collaborators to perceive its intentions.”
Quote in the paperNot a substantial claim - Interpretationcitation
The importance of a robot's perceived socio-affective competence in long-term HRI is indicated by De Graaf et al.'s study.
“This study indicates the importance of a robot's perceived socio-affective competence in long-term HRI.”
Quote in the paperSubstantial claim - Premisecitation
A dialogue system that is unresponsive to a user's inferences was rated as significantly worse on user engagement and user experience than an appropriately tailored system.
“In fact, a recent study found that a dialogue system that is unresponsive to a user's inferences was rated as significantly worse on user engagement and user experience than an appropriately tailored system [182].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [182] 182. Zhou Yu, Vikram Ramanarayanan, Patrick Lange, and David Suendermann-Oeft. 2019. An open-source dialog sys- tem with real-time engagement tracking for job interview training applications. In Advanced Social Interaction with Agents. Springer, 199-207.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Mutual understanding and common grounding are critical for human collaborative problem-solving.
“In addition, mutual understanding and common grounding are critical for human collaborative problem-solving [41].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] 41. Pierre Dillenbourg and David Traum. 2006. Sharing solutions: Persistence and grounding in multimodal collabora- tive problem-solving. J. Learn. Sci. 15, 1 (2006), 121-151. source
- Interpretationreasoning
Insufficient social skills are likely to limit the perceived social relationship between a user and a robot.
“Thus, insufficient social skills are likely to limit the perceived social relationship between a user and a robot.”
Quote in the paperSubstantial claim - Premisecitation
Failures in displaying emotional synchronicity and entrainment with a dialogue partner may result in a lower rapport between a user and a robot.
“In particular, failures in displaying emotional synchronicity and entrainment with its dialogue partner (E1.5) may result in a lower rapport between a user and Olivaw [68].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] 68. Julia Hirschberg. 2011. Speaking more like you: Entrainment in conversational speech. In Proceedings of the 12th Conference of the International Speech Communication Association.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Empathic and emotional reactions may not always be necessary in HRI.
“Empathic and emotional reactions may not always be necessary in HRI [109].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] 109. Bertram F. Malle and Stuti Thapa Magar. 2017. What kind of mind do I want in my robot?: Developing a measure of desired mental capacities in social robots. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction. ACM, 195-196. source
- Premisecitation
Current studies on using robots for dementia care are extremely limited in incorporating personalization and adaption.
“Current studies on using robots for dementia care are extremely limited in incorporating personalization and adaption [119].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [119] 119. Elaine Mordoch, Angela Osterreicher, Lorna Guse, Kerstin Roger, and Genevieve Thompson. 2013. Use of social commitment robots in the care of elderly people with dementia: A literature review. Maturitas 74, 1 (2013), 14-20. source
- Premisecitation
As a long-term companion, a robot is expected to acquire mutual understanding and common grounding with its user over longitudinal interaction.
“As a long-term companion, Calvin is expected to acquire mutual understanding and common grounding with Frank over longitudinal interaction [153].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [153] 153. Selma Sabanovic, Casey C. Bennett, Wan-Ling Chang, and Lesa Huber. 2013. PARO robot affects diverse interac- tion modalities in group sensory therapy for older adults with dementia. In Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR'13). IEEE, 1-6. source
- Interpretationreasoning
In short-term HRI, social errors of a robot can lead to disengagement, task failures, unsatisfactory services, or compromised collaboration efficiency.
“In short-term HRI, social errors of a robot can lead to disengagement, task failures, unsatisfactory services, or compromised collaboration efficiency”
Quote in the paperSubstantial claim - Interpretationcitation
It is important for a robot carer to establish and maintain a social relationship with its user during longitudinal interaction.
“Beyond short-term interaction, it is important for Calvin to establish and maintain a social relationship with Frank during longitudinal interaction.”
Quote in the paperSubstantial claim - Interpretationreasoning
Heterogeneity in demographic characteristics of visitors requires a robot to adjust its knowledge on social norms and social routines to reciprocate social communication appropriately.
“Besides social context, heterogeneity in the demographic characteristics of the visitors also requires Olivaw to adjust its knowledge on social norms and social routines to reciprocate social communication appropriately.”
Quote in the paperSubstantial claim - Premisecitation
A close relationship between assertiveness and confidence was found in human interactions.
“Regarding the expression of assertiveness, a close relationship between assertiveness and confidence was found in human interactions [86].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] 86. Charles E. Kimble and Steven D. Seidel. 1991. Vocal signs of confidence. J. Nonverb. Behav. 15, 2 (1991), 99-105. source
- Premisecitation
Heerink et al. [67] found that elderly users felt more comfortable and were more expressive when the robot followed normative social behaviors and engaged in reciprocal social communication.
“In Calvin's scenario, Heerink et al. [67] analyzed short-term interactions between elderly users and robots and found that the participants felt more comfortable and were more expressive during their interaction when the robot followed normative social behaviors and engaged in reciprocal social communication.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [67] 67. Marcel Heerink, Ben Krose, Vanessa Evers, and Bob Wielinga. 2006. The influence of a robot's social abilities on acceptance by elderly users. In Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (ROMAN'06). IEEE, 521-526. source
- Interpretationreasoning
A lack of understanding of users' intentions and knowledge-states can limit a robot's ability to provide services.
“a lack of understanding of its users' intentions and knowledge-states can limit its ability to provide services”
Quote in the paperSubstantial claim - Interpretationreasoning
Failures in adjusting actions based on specific collaborators (E2.2) may limit Reventlov's ability to enlist and collaborate with its teammates.
“failures in adjusting actions based on specific collaborators (E2.2) may limit Reventlov's ability to enlist and collaborate with its teammates”
Quote in the paperNot a substantial claim - Premisecitation
Failures in establishing a social relationship with human collaborators can degrade their trust towards the robot.
“failures in establishing a social relationship with its human collaborators (E2.7) can degrade their trust towards it [77]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [77] 77. Gareth R. Jones and Jennifer M. George. 1998. The experience and evolution of trust: Implications for cooperation and teamwork. Acad. Manag. Rev. 23, 3 (1998), 531-546. source
- Interpretationcitation
Unresponsiveness to eye gaze or joint attention (E3.3) can result in a robot being perceived as distracted or less socially friendly.
“unresponsiveness to eye gaze or joint attention (E3.3) can result in a robot being perceived as distracted or less socially friendly”
Quote in the paperNot a substantial claim - Interpretationcitation
Failures in displaying assertiveness and independence may reduce users' perception of a robot's confidence in providing required services.
“Thus, failures in displaying assertiveness and independence (E2.3) may reduce users' perception of Olivaw's confidence in providing the required services.”
Quote in the paperSubstantial claim - Interpretationcitation
If a robot carer is unable to establish and maintain a social relationship with its user over time, it is unlikely to achieve the expected health outcomes.
“Thus, if Calvin is unable to establish and maintain a social relationship with Frank over time (E2.7), it is unlikely to achieve the expected health”
Quote in the paperSubstantial claim - Interpretationreasoning
If a robot gives a lengthy response about its battery charging process to a Chinese visitor who asked 'Have you eaten yet?', it may confuse the person.
“If Olivaw gives a lengthy response about its battery charging process, it may confuse the person (E2.6 failures in adhering to social routine).”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 99
- May combine two claims. 52
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPeople tend to trust embodied agents more than non-embodied agents.
“In terms of the appearance of a robot, it has been identified that people tend to trust embodied agents more than non-embodied agents [173].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [173] 173. Anouk van Maris, Hagen Lehmann, Lorenzo Natale, and Beata Grzyb. 2017. The influence of a robot's embodiment on trust: A longitudinal study. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction. ACM, 313-314. source
The Results report no significant difference in trust between the physical robot and the virtual agent. The Conclusion likewise says the study found no significant influence of embodiment on trust. Although the Introduction describes a hypothesis that users would trust the physical robot more, the study did not confirm it. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEmotional contagion focuses on the convergence of verbal and non-verbal behaviors in interpersonal communications, also known as entrainment.
“Compared to empathy, emotional contagion focuses on the convergence of verbal and non-verbal behaviors in interpersonal communications, also known as entrainment [120].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [120] 120. Shrikanth Narayanan and Panayiotis G. Georgiou. 2013. Behavioral signal processing: Deriving human behavioral informatics from speech and language. Proc. IEEE 101, 5 (2013), 1203-1233. source
The General discussion says people tend to become more nonverbally similar to their social partners during an interaction. It does not identify this convergence as emotional contagion, extend it to verbal behavior, or contrast emotional contagion with empathy. Its reference to entrainment appears in a cited work's title, not in an explanation of the claimed relationship. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe progressive impairment can lead to reduced memory function, reduced ability in understanding others' thoughts and emotions, altered communication, depressed and unstable mood, and feelings of isolation and loneliness.
“The progressive impairment can lead to reduced memory function, reduced ability in understanding others' thoughts and emotions, altered communication, depressed and unstable mood, and feelings of isolation and loneliness [91].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [91] 91. Agnieszka Korchut, Sebastian Szklener, Carla Abdelnour, Natalia Tantinya, Joan Hernández-Farigola, Joan Carles Ribes, Urszula Skrobas, Katarzyna Grabowska-Aleksandrowicz, Dorota Szczęśniak-Stańczyk, and Konrad Rejdak. 2017. Challenges for service robots-Requirements of elderly adults with cognitive impairments. Front. Neurol. 8 (2017), 228. source
The Introduction links mild cognitive impairment and early Alzheimer disease to difficulties with activities that depend on memory, and the Discussion addresses loneliness among older people and people with dementia. The copy does not say that progressive impairment reduces the ability to understand others’ thoughts and emotions or causes depressed or unstable mood; its discussion of communication concerns reduced opportunities with age, not an altered ability to communicate. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn psychotherapy sessions, the empathy of a therapist is a key behavioral marker for the quality and constructive outcomes of the therapy.
“For example, in psychotherapy sessions, the empathy of a therapist is a key behavioral marker for the quality and constructive outcomes of the therapy [21].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] 21. Brian L. Burke, Christopher W. Dunn, David C. Atkins, and Jerry S. Phelps. 2004. The emerging evidence base for motivational interviewing: A meta-analytic and qualitative inquiry. J. Cog. Psychother. 18, 4 (2004), 309-322. source
The Procedure (Toddlers’ Play with a Parent) rates parental warmth and sensitivity during toddler play, and the Results (Associations between Child and Parent Behavior Ratings and Measures of Play) relate those ratings to pretend play. Searches for psychotherapy, therapist empathy, and therapy outcomes found no passage addressing whether therapist empathy marks therapy quality or outcomes. The supplied passages have section labels but no page numbers. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNorms in smiling, laughter, and expressions of positive emotions are related to the historical heterogeneity of the population in a country or a state.
“In addition, a previous cross-cultural study found that norms in smiling, laughter, and expressions of positive emotions were related to the historical heterogeneity of the population in a country or a state [122].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [122] 122. Paula M. Niedenthal, Magdalena Rychlowska, Adrienne Wood, and Fangyun Zhao. 2018. Heterogeneity of long- history migration predicts smiling, laughter and positive emotion across the globe and within the United States. PLoS ONE 13, 8 (2018), e0197651. source
Study 1 and Study 2 Results (pages unavailable) report associations between historical heterogeneity and smiling/laughter and positive emotion at the country and U.S. state levels. But the Measures sections describe self-reported smiling or laughter and experienced enjoyment, not norms governing those behaviors or expressions of positive emotion. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEmotion recognition and social context interpretation tasks have been applied to assess the degree of age-related social cognition decline, such as the Edinburgh social cognition test.
“Similar to assessments of social interaction capability used in ASD, emotion recognition and social context interpretation tasks have been applied to assess the degree of age-related social cognition decline, such as the Edinburgh social cognition test [7].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] 7. R. Asaad Baksh, Sharon Abrahams, Bonnie Auyeung, and Sarah E. MacPherson. 2018. The Edinburgh social cogni- tion test (ESCoT): Examining the effects of age on a new measure of theory of mind and social norm understanding. PLoS ONE 13, 4 (2018), 1-16. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA decline in cognitive functions occurs in elderly adults due to the loss of neurons and neuronal connections in the brain.
“A decline in cognitive functions occurs in elderly adults due to the loss of neurons and neuronal connections in the brain.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [91] 91. Agnieszka Korchut, Sebastian Szklener, Carla Abdelnour, Natalia Tantinya, Joan Hernández-Farigola, Joan Carles Ribes, Urszula Skrobas, Katarzyna Grabowska-Aleksandrowicz, Dorota Szczęśniak-Stańczyk, and Konrad Rejdak. 2017. Challenges for service robots-Requirements of elderly adults with cognitive impairments. Front. Neurol. 8 (2017), 228. source
The Introduction reports increasing cognitive impairment among older adults, and the Discussion refers to cognitive decline in the elderly. Neither section attributes that decline to the loss of neurons or neuronal connections, so the claimed cause is unsupported by this paper. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSuch a feeling leads to a decreased willingness to comply and increased willingness to punish when the desired outcome is not achieved.
“Such a feeling leads to a decreased willingness to comply and increased willingness to punish when the desired outcome is not achieved [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] 2. Jason Aimone, Sheryl Ball, and Brooks King-Casas. 2015. The betrayal aversion elicitation task: An individual level betrayal aversion measure. PLoS ONE 10, 9 (2015), e0137491. source
In “Previous Treatments of Betrayal Aversion” (page unavailable), the paper links non-reciprocated trust to decreased willingness to take a risky action or increased willingness to punish following the outcome. It does not describe the first response as decreased willingness to comply, so that part of the claim is not supported. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationSocial norms are external, socially defined normative standards that are the most socially appropriate action for a decision-maker in a given set of circumstances.
“Social norms are external, socially defined normative standards that are the most socially appropriate action for a decision-maker in a given set of circumstances [44].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [44] 44. Jon Elster. 1989. Social norms and economic theory. J. Econ. Perspect. 3, 4 (1989), 99-117. source
Classified as probably not a substantial claim.
FindingreasoningThe review of human collaborative and organizational behaviors leads to additional attributes of socio-affective competence related to collaboration and prosocial behaviors, reported in Table 3.
“Our review of human collaborative and organizational behaviors allows us to zoom out from interpersonal social interactions to collaborations within and across groups.This leads to additional attributes of socio-affective competence, which we report in Table 3.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenHow HRI errors influence users' perceptions, such as trust, is yet to be understood.
“How HRI errors influence users' perceptions, such as trust, is yet to be understood.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenPrevious analyses of HRI errors' impact on a user's perception have mainly focused on their influence on users' trust towards the HRI system.
“Previous analyses of HRI errors' impact on a user's perception have mainly focused on their influence on users' trust towards the HRI system.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningThe error types are not entirely independent from one another and can be correlated.
“Note that the error types are not entirely independent from one another and can be correlated.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenSeveral taxonomies of HRI errors have been proposed.
“To better facilitate systematic analysis of errors in HRI, several taxonomies of HRI errors have been proposed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenOther HRI error taxonomies have focused on the functional aspect of HRI, rather than users' perceptions of these errors.
“Other HRI error taxonomies have focused on the functional aspect of HRI, rather than users' perceptions of these errors.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationMost existing HRI error studies are short-term, single-session HRI experiments, and long-term, in-the-wild HRI studies are extremely scarce.
“Most existing HRI error studies are short-term, single-session HRI experiments.Long-term, in-the-wild HRI studies are extremely scarce [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] 74. Bahar Irfan, Aditi Ramachandran, Samuel Spaulding, Dylan F. Glas, Iolanda Leite, and Kheng Lee Koay. 2019. Per- sonalization in long-term human-robot interaction. In Proceedings of the 14th ACM/IEEE International Conference on Human-robot Interaction (HRI'19). IEEE, 685-686. source
Probably not a substantial claim: may not pass S4 (based).
Findingnone givenEmotion is an important communicative cue that humans use to express their mind and interpret others' to facilitate collaboration.
“In Reventlov's scenario, as discussed in Section 2.1, emotion is an important communicative cue that humans use to express their mind and interpret others' to facilitate collaboration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenEach category contains both instantaneous social errors that may occur in short-term HRI and social errors specific to long-term HRI.
“Each category contains both instantaneous social errors that may occur in short-term HRI and social errors specific to longterm HRI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
FindingreasoningThe social-emotional dimension of HRI requires further analyses.
“Moreover, these existing taxonomies have focused on the functional dimension of HRI, while the social-emotional dimension of HRI requires further analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningInspired by the 30 main attributes under five categories, the paper classifies social errors in HRI into five categories and 30 sub-categories in Table 4.
“In particular, inspired by the 30 main attributes under five categories that humans adopt to perceive socio-affective competence and social relationships (see Section 2), we classify social errors in HRI into five categories and 30 sub-categories in Table 4.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenSocial skills facilitate building and maintaining human interpersonal relationships.
“Social skills facilitate building and maintaining human interpersonal relationships, as discussed in Section 2.2.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAn error scenario can be a mix of performance errors and social errors.
“An error scenario can be a mix of performance errors and social errors.”
Quote in the paperNot a substantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningUnderstanding the influence of social norm violations may be key to advance current HRI research, especially in longitudinal scenarios where a positive human-robot relationship is desired.
“Understanding such influence may be key to advance current HRI research, especially in longitudinal scenarios where a positive human-robot relationship is desired.”
Quote in the paperNot a substantial claim- Rests on an assumption: Error handling in HRI is not yet fully understood, especially regarding errors on the social-emotional dimension.
Classified as probably not a substantial claim.
PremisecitationUser-centered design focuses on addressing the needs and preferences of users and the intended application scenarios of the designed systems.
“User-centered design focuses on addressing the needs and preferences of users and the intended application scenarios of the designed systems [124].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [124] 124. Donald A. Norman and Stephen W. Draper. 1986. User Centered System Design: New Perspectives on Human-computer Interaction. CRC Press. source
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenThe social relationship between a user and a robot relies on the perceived competence of the robot on the social-emotional dimension.
“This social relationship relies on the perceived competence of a robot on the social-emotional dimension.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMore reliable and effective hand-eye coordination for robotic grasping can be learned through correcting errors.
“Levine et al. [100] found that more reliable and effective hand-eye coordination for robotic grasping can be learned through correcting errors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] 100. Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen. 2018. Learning hand-eye coordina- tion for robotic grasping with deep learning and large-scale data collection. Int. J. Robot. Res. 37, 4-5 (2018), 421-436. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenA social error may be caused by technical malfunctions, such as delayed dialogue responses, or by the imperfect design of social-emotional interaction functions of an HRI system, such as not incorporating individual variation.
“A social error may be caused by technical malfunctions, such as delayed dialogue responses, or by the imperfect design of social-emotional interaction functions of an HRI system, such as not incorporating individual variation.”
Quote in the paperNot a substantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationUser-centered design is commonly adopted in human-computer interaction design practices and has known benefits such as improved usability and user satisfaction.
“It is commonly adopted in human-computer interaction design practices and has known benefits such as improved usability and user satisfaction [93].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [93] 93. Sari Kujala. 2003. User involvement: A review of the benefits and challenges. Behav. Inf. Technol. 22, 1 (2003), 1-16. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn elderly care applications, HRI designs that incorporate social-emotional interactions improve health outcomes by encouraging positive moods and reducing loneliness felt by users.
“For example, in elderly care applications, HRI designs that incorporate social-emotional interactions have been shown to improve health outcomes by encouraging positive moods and reducing loneliness felt by users [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] 58. Susel Góngora Alonso, Sofiane Hamrioui, Isabel de la Torre Díez, Eduardo Motta Cruz, Miguel López-Coronado, and Manuel Franco. 2018. Social robots for people with aging and dementia: A systematic review of literature. Telemed. e-Health 25, 7 (2018), 533-540. source
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenEmpathy allows the development of shared representations, engagement, and simulation of the subjectivity of others.
“Empathy allows the development of shared representations, engagement, and simulation of the subjectivity of others.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenA commonly used assessment of atypical social communicative functions is evaluating a person's ability to understand others.
“A commonly used assessment of atypical social communicative functions is evaluating a person's ability to understand others.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningFailures in emotional interaction functions will result in HRI social errors on socio-affective competence dimensions.
“Failures in doing so will result in HRI social errors on these socio-affective competence dimensions, which will be discussed in more detail in Section 4.”
Quote in the paperSubstantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn healthy elderly adults, impairment in social and cognitive functions may be mild and does not necessarily result in a significant decline in the quality of their personal and social life.
“In healthy elderly adults, impairment in social and cognitive functions may be mild and does not necessarily result in a significant decline in the quality of their personal and social life [157].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [157] 157. Susanne Scheibe and Laura L. Carstensen. 2010. Emotional aging: Recent findings and future trends. J. Geront.: Series B 65, 2 (2010), 135-144. source
May combine two claims.
InterpretationreasoningElderly adults with neurodegenerative diseases typically experience more severe impairment in social cognition functions, which significantly impacts their ability to maintain independence and engage in social interactions.
“Elderly adults with neurodegenerative diseases typically experience more severe impairment in social cognition functions, which significantly impacts their ability to maintain independence and engage in social interactions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe same event or stimulus can evoke a spectrum of emotional responses in different people and can be perceived differently.
“The same event or stimulus can evoke a spectrum of emotional responses in different people and can be perceived differently, as demonstrated in existing studies of emotion induction and annotation tasks [136].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [136] 136. Soujanya Poria, Erik Cambria, Rajiv Bajpai, and Amir Hussain. 2017. A review of affective computing: From uni- modal analysis to multimodal fusion. Inf. Fus. 37 (2017), 98-125. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe shared anchor of different definitions of empathy is the matching relation between the emotions of two people.
“Decety and Meyer [35] also identified that the shared anchor of different definitions of empathy is the matching relation between the emotions of two people.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] 35. Jean Decety and Meghan Meyer. 2008. From emotion resonance to empathic understanding: A social developmental neuroscience account. Dev. Psychopathol. 20, 4 (2008), 1053-1080. source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningFor a robot to facilitate social interaction, it requires the ability to recognize emotions of its users, to incorporate in its decision-making process the emotions of users and artificial emotions generated by itself, and to synthesize emotional expressions according to the interaction context.
“For a robot to facilitate social interaction, it requires the ability to recognize emotions of its users, to incorporate in its decision-making process the emotions of users and artificial emotions generated by itself, and to synthesize emotional expressions according to the interaction context.”
Quote in the paperNot a substantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe ability to exhibit empathy and entrainment is an important factor evaluated in various assessments of social skills, such as the Social Skills Inventory, the Mayer-Salovey-Caruso Emotional Intelligence Test, and the Self Descriptive Inventory.
“The ability to exhibit empathy and entrainment is an important factor evaluated in various assessments of social skills, such as the Social Skills Inventory [106], the Mayer-Salovey-Caruso Emotional Intelligence Test [111], and the Self Descriptive Inventory [143].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [106] 106. Maurice Lorr, Richard P. Youniss, and Edward C. Stefic. 1991. An inventory of social skills. J. Personal. Assess. 57, 3 (1991), 506-520. source
- cites [111] 111. Andrew Maul. 2012. The validity of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) as a measure of emotional intelligence. Emot. Rev. 4, 4 (2012), 394-402. source
- cites [143] 143. Ronald E. Riggio. 1986. Assessment of basic social skills. J. Personal. Soc. Psychol. 51, 3 (1986), 649. source
May combine two claims.
InterpretationcitationEntrainment can be utilized in HRI design to increase the engagement of users, as well as to improve interaction outcomes, such as users' learning outcomes under an educational robot.
“These findings indicate that entrainment can be utilized in HRI design to increase the engagement of users, as well as to improve interaction outcomes, such as users' learning outcomes under an educational robot.”
Quote in the paperSubstantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIndividuals with frontotemporal dementia have difficulties recognizing facial expressions and gaze directions.
“For example, individuals with frontotemporal dementia [145] were found to have difficulties recognizing facial expressions and gaze directions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [145] 145. Howard J. Rosen, Katherine Pace-Savitsky, Richard J. Perry, Joel H. Kramer, Bruce L. Miller, and Robert W. Levenson. 2004. Recognition of emotion in the frontal and temporal variants of frontotemporal dementia. Dement. Geriat. Cog. Disord. 17, 4 (2004), 277-281. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDuring interpersonal communications, emotions have been identified as cues that allow people to observe and perceive the latent cognitive states of their interaction partners, and to express their own internal states.
“During interpersonal communications, emotions have been identified as cues that allow people to observe and perceive the latent cognitive states of their interaction partners, and to express their own internal states [152,175].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [152] 152. Magdalena Rychlowska, Rachael E. Jack, Oliver G. B. Garrod, Philippe G. Schyns, Jared D. Martin, and Paula M. Niedenthal. 2017. Functional smiles: Tools for love, sympathy, and war. Psychol. Sci. 28, 9 (2017), 1259-1270. source
- cites [175] 175. Alessandro Vinciarelli, Maja Pantic, Dirk Heylen, Catherine Pelachaud, Isabella Poggi, Francesca D'Errico, and Marc Schroeder. 2012. Bridging the gap between social animal and unsocial machine: A survey of social signal processing. IEEE Trans. Affect. Comput. 3, 1 (2012), 69-87. source
May combine two claims.
InterpretationreasoningAn HRI system with empathic functions leads to a better understanding of the users and is required for establishing social relationships between the system and its users.
“Therefore, an HRI system with empathic functions leads to a better understanding of the users and is required for establishing social relationships between the system and its users.”
Quote in the paperNot a substantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor individuals with limited communicative ability, an observer's evaluation can be used to assess their development level.
“For individuals with limited communicative ability, an observer's evaluation can be used to assess their development level.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] 59. Katherine Gotham, Susan Risi, Andrew Pickles, and Catherine Lord. 2007. The autism diagnostic observation sched- ule: Revised algorithms for improved diagnostic validity. J. Autism Dev. Disord. 37, 4 (2007), 613. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationASD refers to a class of neurodevelopmental disorders.
“ASD refers to a class of neurodevelopmental disorders [51].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] 51. Uta Frith. 2003. Autism: Explaining the Enigma. Blackwell Publishing. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHRI applications in mental health extend beyond ASD and elderly care, e.g., HRI for depression care.
“HRI applications in mental health extend beyond ASD and elderly care, e.g., HRI for depression care [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] 15. Casey C. Bennett, Selma Sabanovic, Jennifer A. Piatt, Shinichi Nagata, Lori Eldridge, and Natasha Randall. 2017. A robot a day keeps the blues away. In Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI'17). IEEE, 536-540. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCurrent research on healthy aging has focused on identifying reliable methods to improve the emotional well-being and social functioning of individuals and preventing further decline of cognitive functions.
“Current research on healthy aging has focused on identifying reliable methods to improve the emotional well-being and social functioning of individuals and preventing further decline of cognitive functions [157].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [157] 157. Susanne Scheibe and Laura L. Carstensen. 2010. Emotional aging: Recent findings and future trends. J. Geront.: Series B 65, 2 (2010), 135-144. source
May combine two claims.
PremisecitationExisting HRI studies have focused on two mental health domains: interventions for individuals with impaired cognitive and social abilities and providing companionship as well as physical and mental support to individuals living on their own.
“In particular, existing HRI studies have focused on two domains [142]: (1) interventions for individuals with impaired cognitive and social abilities and (2) providing companionship as well as physical and mental support to individuals living on their own.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [142] 142. Laurel D. Riek. 2016. Robotics technology in mental health care. In Artificial Intelligence in Behavioral and Mental Health Care. Elsevier, 185-203. source
May combine two claims.
InterpretationreasoningEmotions are fundamental to intelligence and interaction.
“Our review of the functions of human emotions demonstrates that emotions are fundamental to intelligence and interaction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningResearchers implemented artificial emotions in robots to improve their ability to generate adaptive behaviors.
“Motivated by these functions of emotion, researchers implemented artificial emotions in robots to improve their ability to generate adaptive behaviors [1,117].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] 1. Carole Adam and Benoit Gaudou. 2016. BDI agents in social simulations: A survey. Knowl. Eng. Rev. 31, 3 (2016), 207-238. source
- cites [117] 117. Thomas M. Moerland, Joost Broekens, and Catholijn M. Jonker. 2018. Emotion in reinforcement learning agents and robots: A survey. Mach. Learn. 107, 2 (2018), 443-480. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSelf-reported evaluations of social interaction capabilities have been used, for example, the empathy quotient questionnaire.
“Beyond emotion recognition tests, self-reported evaluations of social interaction capabilities have also been used; for example, the empathy quotient questionnaire [10].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] 10. Simon Baron-Cohen and Sally Wheelwright. 2004. The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. J. Autism Dev. Disord. 34, 2 (2004), 163-175. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA major diagnostic cue of ASD is impairment in reciprocal social interaction and communication.
“A major diagnostic cue of ASD is impairment in reciprocal social interaction and communication [105].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [105] 105. Catherine Lord, Susan Risi, Linda Lambrecht, Edwin H. Cook, Bennett L. Leventhal, Pamela C. DiLavore, Andrew Pickles, and Michael Rutter. 2000. The autism diagnostic observation schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism. J. Autism Dev. Disord. 30, 3 (2000), 205- 223. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCommonly used empathy assessments include the Empathy Quotient, the Empathy Scale, the Interpersonal Reactivity Index, and the Questionnaire Measure of Emotional Empathy.
“Commonly used empathy assessments include the Empathy Quotient [10], the Empathy Scale [76], the Interpersonal Reactivity Index [31], and the Questionnaire Measure of Emotional Empathy [113].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [10] 10. Simon Baron-Cohen and Sally Wheelwright. 2004. The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. J. Autism Dev. Disord. 34, 2 (2004), 163-175. source
- cites [76] 76. John A. Johnson, Jonathan M. Cheek, and Robert Smither. 1983. The structure of empathy. J. Personal. Soc. Psychol. 45, 6 (1983), 1299-1312. source
- cites [31] 31. Mark H. Davis et al. 1980. A multidimensional approach to individual differences in empathy. JSAS Catalog of Selected Documents in Psychology 10 (1980), 85. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenSuch tests may not apply to those with limited verbal ability or across different languages or cultures.
“However, such tests may not apply to those with limited verbal ability or across different languages or cultures.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe identified socio-affective competence attributes can be used to measure users' perception of social errors and their impacts on HRI systems.
“These attributes can be used to measure users' perception of social errors and their impacts on such HRI systems.”
Quote in the paperSubstantial claim- Rests on an assumption: Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAssessments with movie clips were used to capture the multimodal and context-specific nature of social interaction, such as the Movie for the Assessment of Social Cognition task.
“To capture the multimodal and contextspecific nature of social interaction, assessments with movie clips were also used, such as the Movie for the Assessment of Social Cognition task [43].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] 43. Isabel Dziobek, Stefan Fleck, Elke Kalbe, Kimberley Rogers, Jason Hassenstab, Matthias Brand, Josef Kessler, Jan K. Woike, Oliver T. Wolf, and Antonio Convit. 2006. Introducing MASC: A movie for the assessment of social cognition. J. Autism Dev. Disord. 36, 5 (2006), 623-636. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVariations of economic games have been applied to evaluate the perceived prosociality of robots and a user's trust towards a robot.
“Variations of these games have been applied to evaluate the perceived prosociality of robots and a user's trust towards a robot (e.g., Wu et al. [179]).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179] 179. Jane Wu, Erin Paeng, Kari Linder, Piercarlo Valdesolo, and James C. Boerkoel. 2016. Trust and cooperation in human- robot decision making. In Proceedings of the AAAI Fall Symposium Series.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationTrust has direct impacts on human decision-making and willingness to accept information or follow instructions from robots.
“Trust has direct impacts on human decision-making and willingness to accept information or follow instructions from robots [64].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] 64. Peter A. Hancock, Deborah R. Billings, Kristin E. Schaefer, Jessie Y. C. Chen, Ewart J. De Visser, and Raja Parasuraman. 2011. A meta-analysis of factors affecting trust in human-robot interaction. Hum. Fact. 53, 5 (2011), 517-527. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenAn interesting aspect exposed by behavioral economics studies is the temporal dimension of social errors.
“An interesting aspect exposed by behavioral economics studies is the temporal dimension of social errors.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenSocial norms vary across cultures and individual sensitivity to social reputation.
“Social norms vary across cultures and individual sensitivity to social reputation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThe perceived socio-affective competence of a robot and social errors in HRI should also be investigated in longitudinal settings beyond short-term, single interaction sessions.
“This indicates that the perceived socio-affective competence of a robot and social errors in HRI should also be investigated in longitudinal settings beyond short-term, single interaction sessions.”
Quote in the paperNot a substantial claim- Rests on an assumption: Error handling in HRI is not yet fully understood, especially regarding errors on the social-emotional dimension.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe attractiveness of physical appearance and voice of agents influences trust in user-agent interaction.
“The attractiveness of physical appearance and voice of agents was also shown to influence trust in user-agent interaction [183].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [183] 183. Beste F. Yuksel, Penny Collisson, and Mary Czerwinski. 2017. Brains or beauty: How to engender trust in user-agent interactions. ACM Trans. Internet Technol. 17, 1 (2017), 2. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe public goods game measures people's prosociality and investigates how awareness of social reputation motivates prosocial behaviors.
“The public goods game measures people's prosociality and investigates how awareness of social reputation motivates prosocial behaviors [45].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] 45. Ernst Fehr and Urs Fischbacher. 2004. Social norms and human cooperation. Trends Cog. Sci. 8, 4 (2004), 185-190. source
The quote only partly states this claim.
InterpretationreasoningGiuliani et al.'s approach of categorizing social errors as violations to two types of social norms in dialogue is limited because social interaction is more than verbal and non-verbal communication.
“Thus, their approach of categorizing social errors as violations to two types of social norms in dialogue is limited.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAn educational robot perceived as trustworthy and privacy-preserving may inspire stronger engagement and motivation in its students, resulting in better learning outcomes.
“Thus, an educational robot perceived as trustworthy and privacypreserving may inspire stronger engagement and motivation in its students, resulting in better learning outcomes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdherence to, or violation of, social norms has mainly been studied in the context of three economic games: the public goods game, the trust game, and the dictator game.
“Adherence to, or violation of, social norms has mainly been studied in the context of three economic games: the public goods game [96], the trust game [16], and the dictator game [80].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [96] 96. John O. Ledyard. 1994. Public goods: A survey of experimental research. Social Science Working Paper. Cali- fornia Institute of Technology, Pasadena, CA. Retrieved on January 21, 2021 from https://resolver.caltech.edu/ CaltechAUTHORS:20170823-160736011. source
- cites [16] 16. Joyce Berg, John Dickhaut, and Kevin McCabe. 1995. Trust, reciprocity, and social history. Games Econ. Behav. 10, 1 (1995), 122-142. source
- cites [80] 80. Daniel Kahneman, Jack L. Knetsch, and Richard Thaler. 1986. Fairness as a constraint on profit seeking: Entitlements in the market. Amer. Econ. Rev. 76, 4 (1986), 728-741. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThree main aspects of trust have been analyzed in current HRI studies: the environment perspective, the human perspective, and the robot perspective.
“Three main aspects of trust have been analyzed in current HRI studies: the environment perspective, the human perspective, and the robot perspective [156].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [156] 156. Kristin Schaefer. 2013. The Perception and Measurement of Human-Robot Trust. Ph.D. Dissertation. University of Central Florida. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe social norms questionnaire requires an individual to assess if a behavior is appropriate or not to evaluate whether the person is overly adherent to a perceived social norm or unaware of social norm violations.
“The social norms questionnaire requires an individual to assess if a behavior is appropriate or not to evaluate whether the person is overly adherent to a perceived social norm or unaware of social norm violations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [137] 137. K. P. Rankin. 2008. Social norms questionaire. NINDS: Domain Specific Tasks of Executive Function. Retrieved January 21, 2021 from https://memory.ucsf.edu/sites/memory.ucsf.edu/files/wysiwyg/EXAMINER_UserManual_3.6r.pdf.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdherence to social norms is tied to a person's social reputation and perceived prosociality.
“Adherence to social norms is tied to a person's social reputation and perceived prosociality [4].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] 4. James Andreoni and B. Douglas Bernheim. 2009. Social image and the 50-50 norm: A theoretical and experimental analysis of audience effects. Econometrica 77, 5 (2009), 1607-1636. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationErratic behaviors of robots negatively influence people's trust towards them.
“In terms of the capability of a robot, erratic behaviors of robots were shown to negatively influence people's trust towards them [176].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [176] 176. Ning Wang, David V. Pynadath, and Susan G. Hill. 2016. Trust calibration within a human-robot team: Comparing automatically generated explanations. In Proceedings of the 11th ACM/IEEE International Conference on Human-robot Interaction. IEEE Press, 109-116. source
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningFor each attribute of socio-affective competence identified, the judgment of whether a behavior is normative or not varies across cultural, contextual, and individual factors.
“Note that for each attribute of the socio-affective competence we identified, the judgment of whether a behavior is normative or not varies across cultural, contextual, and individual factors.”
Quote in the paperNot a substantial claim- Rests on an assumption: The judgment of whether a behavior is normative or not varies across cultural, contextual, and individual factors.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSebo et al. [158] found that when a robot broke a promise, the participant indicated lower trust and exhibited retaliation, and apology was more effective than denial.
“They found that when a robot broke a promise previously made to a participant, the participant indicated lower trust towards the robot and exhibited retaliation in later stages of the game.They studied two types of repair strategies addressing the trust violation, namely, apology and denial, and their results suggested that apology was more effective.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [158] 158. Sarah Strohkorb Sebo, Priyanka Krishnamurthi, and Brian Scassellati. 2019. "I don't believe you": Investigating the effects of robot trust violation and repair. In Proceedings of the 14th ACM/IEEE International Conference on Human- robot Interaction (HRI'19). IEEE, 57-65. source
Classified as probably not a substantial claim.
InterpretationreasoningThe perception of socio-affective competence is flexible and context-dependent.
“However, the perception of socio-affective competence is flexible and context-dependent.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationEstablished trust can be violated by short instances, and the difficulty and time required for trust recovery depend on various factors, such as compensation and repair strategies.
“However, established trust can be violated by short instances, and the difficulty and time required for trust recovery depend on various factors, such as compensation and repair strategies [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] 38. Pieter T. M. Desmet, David De Cremer, and Eric van Dijk. 2011. Trust recovery following voluntary or forced finan- cial compensations in the trust game: The role of trait forgiveness. Personal. Indiv. Diff. 51, 3 (2011), 267-273. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThree standardized evaluation questionnaires are widely used for dementia patients or people at risk: the interpersonal reactivity index, the social norms questionnaire, and the social behavior observer checklist.
“In particular, three standardized evaluation questionnaires are widely used for dementia patients or people at risk, namely, the interpersonal reactivity index [30], the social norms questionnaire [137], and the social behavior observer checklist [138].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [30] 30. Mark H. Davis. 1980. Interpersonal Reactivity Index. Edwin Mellen Press.
- cites [137] 137. K. P. Rankin. 2008. Social norms questionaire. NINDS: Domain Specific Tasks of Executive Function. Retrieved January 21, 2021 from https://memory.ucsf.edu/sites/memory.ucsf.edu/files/wysiwyg/EXAMINER_UserManual_3.6r.pdf.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [138] 138. K. P. Rankin, E. Baldwin, C. Pace-Savitsky, J. H. Kramer, and B. L. Miller. 2005. Self awareness and personality change in dementia. J. Neurol. Neurosurg. Psychia. 76, 5 (2005), 632-639. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe dictator game measures people's adherence to the fairness social norm.
“The dictator game measures people's adherence to the fairness social norm [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] 40. Andreas Diekmann. 2004. The power of reciprocity: Fairness, reciprocity, and stakes in variants of the dictator game. J. Conflict Resol. 48, 4 (2004), 487-505. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe impact of socio-affective competence on collaborative behaviors has been studied intensively in behavioral economics and economic games, mainly in the context of social norms.
“The impact of socio-affective competence on collaborative behaviors has been studied intensively in behavioral economics and economic games, mainly in the context of social norms [45].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] 45. Ernst Fehr and Urs Fischbacher. 2004. Social norms and human cooperation. Trends Cog. Sci. 8, 4 (2004), 185-190. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSocial norms are constantly changing, following the shifting expectations of the majority in a social group.
“They are constantly changing, following the shifting expectations of the majority in a social group [87].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [87] 87. Erik O. Kimbrough and Alexander Vostroknutov. 2016. Norms make preferences social. J. Eur. Econ. Assoc. 14, 3 (2016), 608-638. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenTrust requires time to cultivate.
“Trust requires time to cultivate.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningBecause of the complexity in human social interaction, a robot designed to interact with people is bound to make errors.
“Because of the complexity in human social interaction, a robot designed to interact with people is bound to make errors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe trust game measures trust and reciprocity, which accommodated indicators of cooperativeness and adherence to social norms.
“The trust game measures trust and reciprocity [24], which accommodated indicators of cooperativeness and adherence to social norms [163].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] 24. David Cesarini, Christopher T. Dawes, James H. Fowler, Magnus Johannesson, Paul Lichtenstein, and Björn Wallace. 2008. Heritability of cooperative behavior in the trust game. Proc. Nat. Acad. Sci. 105, 10 (2008), 3721-3726. source
- cites [163] 163. Dirk Sliwka. 2007. Trust as a signal of a social norm and the hidden costs of incentive schemes. Amer. Econ. Rev. 97, 3 (2007), 999-1012. source
May combine two claims.
PremisecitationThe mean time between technical failures for robots in the wild is often less than a few hours, and current HRI systems are not yet mature enough to effectively handle unexpected events.
“The mean time between technical failures for robots in the wild is often less than a few hours, and current HRI systems are not yet mature enough to effectively handle unexpected events [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] 70. Shanee Sarah Honig and Tal Oron-Gilad. 2018. Understanding and resolving failures in human-robot interaction: Literature review and model development. Front. Psychol. 9 (2018), 861. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe interpersonal reactivity index measures empathic concerns and ability of perspective-taking.
“The interpersonal reactivity index measures empathic concerns and ability of perspective-taking.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] 30. Mark H. Davis. 1980. Interpersonal Reactivity Index. Edwin Mellen Press.
May combine two claims.
PremisecitationIn both social and non-social situations, humans can feel betrayed when their trust is not reciprocated or when their expectation is unsatisfied.
“In both social and non-social situations, humans can feel betrayed when their trust is not reciprocated [81] or when their expectation is unsatisfied [55].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [81] 81. Daniel Kahneman, David Schkade, and Cass Sunstein. 1998. Shared outrage and erratic awards: The psychology of punitive damages. J. Risk Uncert. 16, 1 (1998), 49-86. source
- cites [55] 55. Andrew D. Gershoff and Jonathan J. Koehler. 2011. Safety first? The role of emotion in safety product betrayal aversion. J. Consum. Res. 38, 1 (2011), 140-150. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe social behavior observer checklist collects a carer's observations on decreased social functions of an individual, such as showing diminished social and emotional engagement, having unstable emotional and cognitive abilities, exhibiting perseveration, or not being sensitive to others' embarrassment or privacy.
“The social behavior observer checklist collects a carer's observations on decreased social functions of an individual, such as showing diminished social and emotional engagement, having unstable emotional and cognitive abilities, exhibiting perseveration, or not being sensitive to others' embarrassment or privacy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [138] 138. K. P. Rankin, E. Baldwin, C. Pace-Savitsky, J. H. Kramer, and B. L. Miller. 2005. Self awareness and personality change in dementia. J. Neurol. Neurosurg. Psychia. 76, 5 (2005), 632-639. source
May combine two claims.
InterpretationcitationWhen a robot is unable to recognize emotions of its human teammates accurately and timely, its ability to assess the joint intention of the team can be impaired, while such ability is key to effective and successful human-robot collaboration.
“Thus, when Reventlov is unable to recognize emotions of its human teammates in an accurate and timely manner (E1.1), its ability to assess the joint intention of the team can be impaired, while such ability is key to effective and successful human-robot collaboration [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] 13. Andrea Bauer, Dirk Wollherr, and Martin Buss. 2008. Human-robot collaboration: A survey. Int. J. Human. Robot. 5, 01 (2008), 47-66. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe three scenarios are closely aligned with existing HRI studies under similar contexts.
“They are are closely aligned with existing HRI studies under similar contexts, as detailed below:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn Calvin's scenario, a breach in empathic and emotional reactions is particularly harmful because of the vulnerability of its user.
“In Calvin's scenario, a breach in empathic and emotional reactions is particularly harmful because of the vulnerability of its user.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationScenario-based design is a widely used approach in human-computer interaction studies.
“Scenario-based design is a widely used approach in humancomputer interaction studies [149].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [149] 149. Mary Beth Rosson and John M. Carroll. 2009. Scenario based design. In Proceedings of the Conference on Human- computer Interaction. 145-162. source
May combine two claims.
InterpretationreasoningThese social errors in HRI apply to scenarios beyond the specific areas that they originated from, and all five types of social errors may occur in any HRI scenario.
“Thus, these social errors in HRI apply to scenarios beyond the specific areas that they originated from, and all five types of social errors may occur in any HRI scenario.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 30 attributes of socio-affective competence identified from human studies are applicable to a broad class of HRI scenarios and application domains.
May combine two claims.
Interpretationnone givenThe induction of humor can be difficult to control, and the outcome can vary for different individuals.
“The induction of humor can be difficult to control, and the outcome can vary for different individuals.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenThe proposed taxonomy illustrates the breadth and complexity of social errors in HRI.
“This proposed taxonomy illustrates the breadth and complexity of social errors in HRI.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSuch learned adaption enables a robot to respond with empathy and over time establish a companionship with its user.
“Such learned adaption enables a robot to respond with empathy [131] and over time establish a companionship with its user [58].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [131] 131. Ana Paiva, Iolanda Leite, Hana Boukricha, and Ipke Wachsmuth. 2017. Empathy in virtual agents and robots: A survey. ACM Trans. Interact. Intell. Syst. 7, 3 (2017), 11. source
- cites [58] 58. Susel Góngora Alonso, Sofiane Hamrioui, Isabel de la Torre Díez, Eduardo Motta Cruz, Miguel López-Coronado, and Manuel Franco. 2018. Social robots for people with aging and dementia: A systematic review of literature. Telemed. e-Health 25, 7 (2018), 533-540. source
May combine two claims.
InterpretationreasoningThe impact of the same social error may differ in short-term vs. long-term or repeated HRI, and researchers should take the temporal dimension of HRI into account when studying social errors.
“Thus, the impact of the same social error may differ in short-term vs. longterm or repeated HRI, and researchers should take the temporal dimension of HRI into account when studying social errors.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationDe Graaf et al. [32] found that the robot's lack of adaptability and sociability were the two determinants of users' abandonment.
“They found that the robot's lack of adaptability and sociability were the two determinants of users' abandonment.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] 32. Maartje De Graaf, Somaya Ben Allouch, and Jan Van Dijk. 2017. Why do they refuse to use my robot?: Reasons for non-use derived from a long-term home study. In Proceedings of the ACM/IEEE International Conference on Human- robot Interaction. ACM, 224-233. source
May combine two claims.
PremisecitationBeane [14] found that telepresence robots were abandoned and stowed away shortly after deployment because they only served as a symbol of technological novelty and offered limited interaction and use cases.
“It was found that the robots were abandoned and stowed away shortly after deployment, as they only served as a symbol of technological novelty and offered limited interaction and use cases.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] 14. Matthew I. Beane. 2020. In storage, yet on display: An empirical investigation of robots' value as social signals. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction. 83-91. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLee et al. [97] found that users with a socially oriented interaction goal responded best to apologies, while those with a utilitarian orientation responded best to compensation.
“They found that users with a socially oriented interaction goal responded best to apologies, while those with a utilitarian orientation responded best to compensation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] 97. Min Kyung Lee, Sara Kiesler, Jodi Forlizzi, Siddhartha Srinivasa, and Paul Rybski. 2010. Gracefully mitigating break- downs in robotic services. In Proceedings of the 5th ACM/IEEE International Conference on Human-robot Interaction (HRI'10). IEEE, 203-210. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenA robot's failure in maintaining engagement during an interaction (E4.5) can be a consequence of it generating irrelevant or incomprehensible replies to verbal or non-verbal communications of the user (E4.2).
“For example, a robot's failure in maintaining engagement during an interaction (E4.5) can be a consequence of it generating irrelevant or incomprehensible replies to verbal or non-verbal communications of the user (E4.2).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThrough longitudinal interaction, a robot can learn to improve its ability to recognize the emotions of a specific person, and that person can better recognize the synthesized expressions of the robot, i.e., a mutual adaption.
“Through longitudinal interaction, a robot can learn to improve its ability to recognize the emotions of a specific person, and that person can better recognize the synthesized expressions of the robot, i.e., a mutual adaption.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. The quote only partly states this claim.
Interpretationnone givenWhen a robot is not able to accurately recognize a user's emotional states or exhibit empathy and entrainment, providing help and mental health care in a timely fashion becomes nearly impossible.
“In individual short-term interaction sessions, when Calvin is not able to accurately recognize Frank's emotional states (E1.1) or exhibit empathy and entrainment (E1.5), providing help and mental health care in a timely fashion becomes nearly impossible.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationKubota et al. [92] found benefits in both usability and health outcomes when target users were included in participatory design workshops for a social robot for neurorehabilitation.
“Their results demonstrated benefits in both usability and health outcomes of the robot.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [92] 92. Alyssa Kubota, Emma I. C. Peterson, Vaishali Rajendren, Hadas Kress-Gazit, and Laurel D. Riek. 2020. JESSIE: Syn- thesizing social robot behaviors for personalized neurorehabilitation and beyond. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction. 121-130. source
May combine two claims.
PremisecitationHumans can experience psychological changes caused by long periods of isolation and confinement, including impaired cognitive ability, negative affect, and interpersonal tension and conflict.
“Humans can experience psychological changes caused by such a long period of isolation and confinement, including impaired cognitive ability, negative affect, and interpersonal tension and conflict [133].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [133] 133. Lawrence A. Palinkas and Peter Suedfeld. 2008. Psychological effects of polar expeditions. Lancet 371, 9607 (2008), 153-163. source
Classified as probably not a substantial claim.
Premisenone givenA receptionist robot provides services to a heterogeneous population.
“A receptionist such as Olivaw's provides services to a heterogeneous population.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe paper creates three hypothetical HRI scenarios following the ecological validity guideline, i.e., these are believable situations that approximate real-life situations.
“We create three hypothetical HRI scenarios following the ecological validity guideline, i.e., these are believable situations that approximate real-life situations.”
Quote in the paperNot a substantial claim- Rests on an assumption: The three hypothetical HRI scenarios are believable situations that approximate real-life situations.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationUnderstanding the users' interaction goals is important when designing and evaluating an HRI system.
“This indicates the importance of understanding the users' interaction goals when designing and evaluating an HRI system.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationViolation of existing expectancy may also result in humor, and a breach in interaction norms may instead amuse a user and increase the memorability and enjoyment of an HRI session.
“However, violation of existing expectancy may also result in humor [36], and a breach in the interaction norms may instead amuse a user and increase the memorability and enjoyment of an HRI session.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] 36. Lambert Deckers and John Devine. 1981. Humor by violating an existing expectancy. J. Psychol. 108, 1 (1981), 107- 110. source
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenIn short-term HRI, a breach in empathic and emotional reactions can lead to user engagement breakdowns or failures in achieving the goal of the interaction session.
“As discussed here, in short-term HRI, a breach in empathic and emotional reactions can lead to user engagement breakdowns or failures in achieving the goal of the interaction session.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningIf a robot carer appears unstable in its emotional states, it may worsen the user's condition.
“On the contrary, if Calvin appears unstable in its emotional states (E1.3), it may worsen Frank's condition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenCompared to other sub-categories of HRI errors, social norm violations require further analyses and more detailed classification.
“However, as shown in Figure 1, compared to other sub-categories of HRI errors, social norm violations require further analyses and more detailed classification.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThese socio-affective dimensions are connected, and together they cover the multiple facets of social-emotional interaction.
“However, these socio-affective dimensions are connected, and together they cover the multiple facets of social-emotional interaction, as discussed in Section 2.5.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningFailure in establishing mutual understanding creates obstacles for team integration and lowers the efficiency of the collaboration in the long term.
“Thus, failure in establishing mutual understanding (E1.6) creates obstacles for team integration and lowers the efficiency of the collaboration in the long term.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningScenario-based design emphasizes people and their experiences, which aligns with the user-centered perspective of the paper's taxonomy.
“Scenario-based design emphasizes people and their experiences, which aligns with the user-centered perspective of our taxonomy of HRI social errors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningA systematic and user-centered understanding of errors on the social-emotional dimension of HRI is required.
“As discussed in Section 3, a systematic and user-centered understanding of errors on the socialemotional dimension of HRI is required.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA person visiting a reception desk for the first time will be expecting a lower intimacy level in their social interaction with a robot compared to a regular visitor.
“For example, a person visiting the reception desk for the first time will be expecting a lower intimacy level in their social interaction with Olivaw compared to a member of the department who is a regular visitor.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningIn the three hypothetical HRI scenarios, E1 and E2 may be more relevant to Olivaw's scenario, E3 and E4 may be more relevant to Calvin's scenario, and E5 may be more relevant to Reventlov's scenario.
“Thus, in our three hypothetical HRI scenarios, E1 and E2 may be more relevant to Olivaw's scenario, E3 and E4 may be more relevant to Calvin's scenario, and E5 may be more relevant to Reventlov's scenario.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn short-term interaction sessions, without emotional reaction functions, a robot can still provide basic services such as giving directions to visitors.
“Regarding Olivaw's scenario, in short-term interaction sessions, without emotional reaction functions, it can still provide basic services such as giving directions to visitors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenHuman perception of a breach and its severity is flexible and context-dependent.
“Human perception of a breach and its severity is flexible and context-dependent.”
Quote in the paperNot a substantial claim- Rests on an assumption: Human perception of a breach and its severity is flexible and context-dependent.
Classified as probably not a substantial claim. May combine two claims.
InterpretationcitationThe service breakdown in Lee et al.'s study is a performance error by the paper's definition, while a robot displaying inappropriate social behaviors after a service breakdown is a social error by the paper's definition.
“The service breakdown (bringing a wrong drink) in their simulated study is a performance error by our definition, while a robot displaying inappropriate social behaviors (e.g., using an ineffective recovery strategy) after a service breakdown is a social error by our definition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe polar expedition context puts the human-robot team in an extreme environment.
“Note that the polar expedition context puts the human-robot team in an extreme environment.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningBecause the goal of a robot carer is to provide longitudinal service, its socio-affective functions need to be personalized through accumulated interaction experiences.
“Because the goal of Calvin is to provide longitudinal service to Frank, its socio-affective functions need to be personalized through accumulated interaction experiences.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe paper's taxonomy of social errors in HRI focuses on how errors influence users' perception of the socio-affective competence of a robot and their perceived social relationship with it.
“To address this, our taxonomy of social errors in HRI focuses on how errors in HRI influence users' perception of the socio-affective competence of a robot and their perceived social relationship with it.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis focus is especially important for HRI systems with socially oriented goals, i.e., social robots.
“This is especially important for HRI systems with socially oriented goals, i.e., social robots.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHonig and Oron-Gilad [70] proposed to classify HRI errors as either technical failures or interaction failures.
“In a recent effort, Honig and Oron-Gilad [70] proposed to classify HRI errors as either technical failures or interaction failures.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] 70. Shanee Sarah Honig and Tal Oron-Gilad. 2018. Understanding and resolving failures in human-robot interaction: Literature review and model development. Front. Psychol. 9 (2018), 861. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenIf Calvin cannot understand and adjust to Frank's reception of different stages of treatment plans, it will not be able to provide effective care over time (E3.5).
“If Calvin cannot understand and adjust to Frank's reception of different stages of treatment plans, it will not be able to provide effective care over time (E3.5 incorrect assessment of a user's reception of HRI)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenIf Calvin fails to establish and maintain a social relationship with Frank over time (E2.7), it is unlikely to achieve the expected health benefits of engaging Frank in social interactions.
“if Calvin is unable to establish and maintain a social relationship with Frank over time (E2.7), it is unlikely to achieve the expected health benefits of engaging Frank in social interactions”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationIn longitudinal HRI, social errors can damage a user's perceived social relationship with a robot and lead to its abandonment.
“In longitudinal HRI, social errors can damage a user's perceived social relationship with a robot and lead to its abandonment”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIf a robot carer fails to initiate or respond to reciprocal social communication, it may lead to the user's rejection of the robot or compromise his desire to use it.
“Thus, if Calvin fails to initiate or respond to reciprocal social communication (E2.5), it may lead to Frank's rejection of Calvin or compromise his desire to use it.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningFailures to exhibit assertiveness (E2.3) can reduce other team members' evaluation of the capability of Reventlov and their willingness to comply with the plans it proposes.
“Failures to exhibit assertiveness (E2.3) can reduce other team members' evaluation of the capability of Reventlov and their willingness to comply with the plans it proposes”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningPerformance errors degrade a user's impressions of a robot's competence, while social errors degrade a user's impressions of a robot's warmth and result in similar emotional and behavioral reactions to the robot as they do towards humans.
“we expect performance errors to degrade a user's impressions of a robot's competence, while social errors will degrade a user's impressions of a robot's warmth and result in similar emotional and behavioral reactions to the robot as they do towards humans”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningInsufficient communicative functions may degrade a user's perception of a conversational robot's competence in achieving tasks as well as degrading her perception of the robot's socio-affective competence.
“insufficient communicative functions may degrade a user's perception of a conversational robot's competence in achieving tasks as well as degrading her perception of the robot's socio-affective competence”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSocial relationship has known health benefits, and perceived social relationship with another entity represents the perceived adequacy of resources provided by the other entity.
“Social relationship has known health benefits [72], and perceived social relationship with another entity represents the perceived adequacy of resources provided by the other entity [26].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [72] 72. James S. House, Cynthia Robbins, and Helen L. Metzner. 1982. The association of social relationships and activities with mortality: Prospective evidence from the Tecumseh Community Health Study. Amer. J. Epidem. 116, 1 (1982), 123-140. source
- cites [26] 26. Sheldon Cohen. 2004. Social relationships and health. Amer. Psychol. 59, 8 (2004), 676. source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenUnderstanding social errors in HRI is key to design advanced error handling and failure recovery strategies, which leads to better interaction experiences and outcomes.
“Understanding social errors in HRI is key to design advanced error handling and failure recovery strategies, which leads to better interaction experiences and outcomes”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The impact of HRI errors and effective strategies to handle such impact remains an open question.
“The impact of these errors and effective strategies to handle such an impact remains an open question.”
The paper relies on this without support.
Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.
“Current social-emotional interaction functions of HRI systems are far below human-level performance, and errors are inevitable during interactions.”
The paper relies on this without support.
Errors in HRI may have a significant impact on a user's perception of a robot.
“These errors may have a significant impact on a user's perception of a robot.”
The paper relies on this without support.
Error handling in HRI is not yet fully understood, especially regarding errors on the social-emotional dimension.
“However, error handling in HRI is not yet fully understood, especially regarding errors on the social-emotional dimension.”
The paper relies on this without support.
Error identification and recovery remain a challenging topic in current HRI research, especially on the social-emotional dimension.
“Error identification and recovery remain a challenging topic in current HRI research, especially on the social-emotional dimension.”
The authors state this as an assumption.
The 30 attributes of socio-affective competence identified from human studies are applicable to a broad class of HRI scenarios and application domains.
“We expect these attributes to be applicable to a broad class of HRI scenarios and application domains.”
The paper relies on this without support.
The three hypothetical HRI scenarios are believable situations that approximate real-life situations.
“We create three hypothetical HRI scenarios following the ecological validity guideline, i.e., these are believable situations that approximate real-life situations.”
The paper relies on this without support.
Human perception of a breach and its severity is flexible and context-dependent.
“Human perception of a breach and its severity is flexible and context-dependent.”
The paper relies on this without support.
The judgment of whether a behavior is normative or not varies across cultural, contextual, and individual factors.
“Note that for each attribute of the socio-affective competence we identified, the judgment of whether a behavior is normative or not varies across cultural, contextual, and individual factors.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Adaptation error is assigned the wrong taxonomy code
MinorThe example labels Churi's lack of adaptation as E4.5, but Table 4 assigns absence of adaptation to E4.6. E4.5 concerns maintaining user engagement.
“No adaption or personalization seems to be included in Churi's design (E4.5).”
“| Long-term | E4.5. Failures in maintaining engagement of a user during interactions E4.6. Absence of adaption or exhibiting incoherence during interactions |”
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Gracefully mitigating breakdowns in robotic services
Lee, M. K., Kiesler, S., Forlizzi, J., Srinivasa, S., & Rybski, P. (2010) · 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2010.5453195
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Sorted by citations
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Robinson, N., Tidd, B., Campbell, D., Kulić, D., & Corke, P. (2022) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3570731 · Cited by 154 · see citing works
“HRI related topics include improving robot social acuity using visual perception of the person [421].”
BackgroundBaudier, P., de Boissieu, E., & Duchemin, M.-H. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122255 · Cited by 79 · see citing works
Robot service failure and recovery: Literature review and future directions
Liu, D., Li, C., Zhang, J., & Huang, W. (2023) · International Journal of Advanced Robotic Systems · doi:10.1177/17298806231191606 · Cited by 64 · see citing works
Tian, L., Carreno‐Medrano, P., Allen, A., Sumartojo, S., Mintrom, M., Zuniga, E. C., Venture, G., Croft, E. A., & Kulić, D. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3443440 · Cited by 46 · see citing works
“Such loss of interest over long-term use remains a major challenge in HRI [12], and the key for a robot to remain engaging after the novelty efect wears of is to improve its context-awareness and adaptivity [32].”
BackgroundInfluentialSelf-citationA Systematic Review on Social Robots in Public Spaces: Threat Landscape and Attack Surface
Oruma, S. O., Sánchez‐Gordón, M., Colomo‐Palacios, R., Gkioulos, V., & Hansen, J. K. (2022) · Computers · doi:10.3390/computers11120181 · Cited by 42 · see citing works
Stange, S., Hassan, T., Schröder, F., Konkol, J., & Kopp, S. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.866920 · Cited by 38 · see citing works
“Further, non-understandable robot behavior may be classified as a social error, leading to users perceiving the robot as less competent on a socio-affective level (Tian and Oviatt, 2021).”
BackgroundRobinson, N., & Kavanagh, D. J. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102700 · Cited by 32 · see citing works
Souza, D., Sousa, S., Kristjuhan-Ling, K., Dunajeva, O., Roosileht, M., Pentel, A., Mõttus, M., Özdemir, M. C., & Gratšjova, Ž. (2025) · Electronics · doi:10.3390/electronics14081557 · Cited by 43 · see citing works
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398 · Cited by 23 · see citing works
Self-citationExplain yourself! Effects of Explanations in Human-Robot Interaction
Ambsdorf, J., Munir, A., Wei, Y., Degkwitz, K., Harms, H. M., Stannek, S., Ahrens, K., Becker, D., Strahl, E., Weber, T., et al. (2022) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/ro-man53752.2022.9900558 · Cited by 15 · see citing works
“of trust [40] and changes the social human-robot relationship [41].”
BackgroundLearning Socially Appropriate Robo-waiter Behaviours through Real-time User Feedback
McQuillin, E., Churamani, N., & Güneş, H. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889395 · Cited by 26 · see citing works
Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
Honig, S., & Oron-Gilad, T. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.656385 · Cited by 20 · see citing works
Exploring robot service quality priorities for different levels of intimacy with service
Chiang, A.-H., & Chou, S.-Y. (2023) · Service Business · doi:10.1007/s11628-023-00545-9 · Cited by 19 · see citing works
“This finding is consistent with previous studies (Tian and Oviatt 2021; Tojib et al. 2023) that demonstrated the benefits of artificial empathy in enabling a robot to interact in a more socially acceptable way.”
ResultAI-Related Risk: An Epistemological Approach
Zanotti, G., Chiffi, D., & Schiaffonati, V. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00755-7 · Cited by 20 · see citing works
“More frequently, however, errors are “social errors” (Tian & Oviatt, 2021 ), episodes involving the breaking of social rules and failures in the recognition and display of emotions.”
Trusting robots: a relational trust definition based on human intentionality
Schäfer, A., Esterbauer, R., & Kubicek, B. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03897-3 · Cited by 19 · see citing works
“Robot performance in many areas of HRI is not one hundred percent reliable, and robotic failures leading to unexpected activities are always possible, as, for example, in HRI involving social and emotional aspects (Tian and Oviatt, 2021).”
Tewari, M., & Lindgren, H. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.956709 · Cited by 20 · see citing works
“However, recent research shows that understanding breakdown situations and their management are equally signi fi cant for building relatedness and naturalness in HRI (Tian and Oviatt, 2021; Ragni et al., 2016; Mirnig et al., 2017; Lee et al., 2010; Salem et al., 2015).”
BackgroundInfluentialUsing Online Customer Reviews to Classify, Predict, and Learn About Domestic Robot Failures
Honig, S., Bartal, A., Parmet, Y., & Oron-Gilad, T. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00929-3 · Cited by 17 · see citing works
“User Effort, which we believe can be classified as a ‘Breach in collaboration and prosociality’ (specifically, a ‘failure to maintain reciprocity or fairness in collaboration’ [24]), is particularly interesting—it was one of the most commonly mentioned failures in the reviews, however, it did not have a large impact o…”
BackgroundMethodInfluentialREX: Designing User-centered Repair and Explanations to Address Robot Failures
Lee, C. P., Praveena, P., & Mutlu, B. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661559 · Cited by 15 · see citing works
“Additional refinement by Tian and Oviatt [70] resulted in a classification of human-robot social errors, dividing them based on emotional reactions, social skills, understanding of the user, communication function, and prosociality.”
BackgroundAxelsson, M., Churamani, N., Caldir, A., & Güneş, H. (2025) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3711937 · Cited by 22 · see citing works
A Broad View on Robot Self-Defense: Rapid Scoping Review and Cultural Comparison
Cooney, M., Shiomi, M., Duarte, E. K., & Vinel, A. V. (2023) · Robotics · doi:10.3390/robotics12020043 · Cited by 15 · see citing works
“As Tian et al. noted, robots often fail, which can reduce people’s beliefs in a robot’s performance and social competence, making error detection and recovery useful capabilities [155].”
BackgroundWhat’s Best for Customers: Empathetic Versus Solution-Oriented Service Robots
Tojib, D., Abdi, E., Tian, L., Rigby, L., Meads, J., & Prasad, T. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-00970-w · Cited by 13 · see citing works
Self-citationAliasghari, P., Ghafurian, M., Nehaniv, C., & Dautenhahn, K. (2023) · ACM Trans. Hum. Robot Interact. · doi:10.1145/3582516 · Cited by 9 · see citing works
“They classiied the errors as either łperformance errorsž, which may lower a user’s rating of a robot’s intelligence and competence in achieving a task, or łsocial errorsž, which may break social norms and degrade a user’s rating of a robot’s socio-afective competence and their relationship with it [69].”
BackgroundCrafting with a Robot Assistant
Tian, L., He, K., Xu, S., Cosgun, A., & Kulić, D. (2023) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3568162.3576998 · Cited by 12 · see citing works
“HRC relies on an efective and appropriate social communication between humans and robots [26, 28].”
BackgroundSelf-citationLiu, D., Zhang, J., & Qi, J. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105030 · Cited by 11 · see citing works
Mukherjee, D., Gupta, K., & Najjaran, H. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.870477 · Cited by 11 · see citing works
“Tian and Oviatt (2021) developed hypothetical HRC scenarios to study the effect of violation of social norms by robots with one of them featuring a convergence of social and industrial robotics.”
BackgroundFriendly Elevator Co-rider: An HRI Approach for Robot-Elevator Interaction
Law, W. T., Li, K.-S., Fan, K.-W., et al. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889614 · Cited by 11 · see citing works
“It is thus recognized that the process for robot-oriented in-building deliveries is in dire need of an optimization, given the common expectation that such labor-oriented social function can be outsourced to useful robots that improved usability and user satisfaction [3][4].”
BackgroundComfortability Analysis Under a Human–Robot Interaction Perspective
Redondo, M. E. L., Niewiadomski, R., Rea, F., et al. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-01026-9 · Cited by 11 · see citing works
Technological applications of social robots to create healthy and comfortable smart home environment
Kim, H., Kong, M., Jung, S., Jeoung, J., Kang, H., & Hong, T. (2024) · Building and Environment · doi:10.1016/j.buildenv.2024.112269 · Cited by 11 · see citing works
Maitreyee, & Lindgren, H. (2021) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3472307.3484679 · Cited by 9 · see citing works
“Findings relating to understanding span basic understanding of breakdowns in language, speech, and what the shared topic for the dialogue is, to understanding emotional states [37] in the human, and further, to behave in accordance with level of understanding vs. lack of understanding.”
Background"Please Be Nice": Robot Responses to User Bullying - Measuring Performance Across Aggression Levels
Luo, Y., Liu, S., Wu, D., Wang, H., & Pan, Y. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642290 · Cited by 8 · see citing works
“Although some researchers have explored how robots can respond to user bullying from a reactive standpoint [45], that prevent bullying approaches, such as investigating whether response styles without profanity could influence emotions [5] and mitigate aggressive behavior during interactions…”
BackgroundSpitale, M., Axelsson, M., Kara, N., & Güneş, H. (2023) · IEEE RO-MAN · doi:10.1109/ro-man57019.2023.10309386 · Cited by 9 · see citing works
Human-in-the-loop error detection in an object organization task with a social robot
Frijns, H. A., Hirschmanner, M., Sienkiewicz, B., Hönig, P., Indurkhya, B., & Vincze, M. (2024) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1356827 · Cited by 10 · see citing works
CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner
Vasiliu, L., Cortis, K., McDermott, R., Kerr, A., Peters, A., Hesse, M., Hagemeyer, J., Belpaeme, T., McDonald, J., Villing, R. C., et al. (2021) · Paladyn Journal of Behavioral Robotics · doi:10.1515/pjbr-2021-0026 · Cited by 7 · see citing works
“…have had limited adoption as they failed to live up to expectations and users found that their lack of empathy, social intelli - gence, and inability to understand context led to inap - propriate responses or no response at all, eventually resulting in frustration and dissatisfaction [ 2,3 ] .”
BackgroundWorking with troubles and failures in conversation between humans and robots: workshop report
Forster, F. M. C., Romeo, M., Holthaus, P., Wood, L. J., Dondrup, C., Fischer, J. E., Liza, F. F., Kaszuba, S., Hough, J., Nesset, B., et al. (2023) · Frontiers in Robotics and AI · doi:10.3389/frobt.2023.1202306 · Cited by 7 · see citing works
Diefenbach, S., Ullrich, D., Lindermayer, T., & Isaksen, K.-L. (2024) · Inf. · doi:10.3390/info15080460 · Cited by 7 · see citing works
“Would people consider it a worthwhile experience to watch the robot doing the work and what would be a socially adequate framing of this human–robot interaction (also see [106]) or adequate framing parallel to human–human interaction (e.g., [107])?”
BackgroundHuang, K., & Wu, F. (2025) · Emerging Media · doi:10.1177/27523543251365451 · Cited by 6 · see citing works
“Service scholarship fundamentally positions AI-service-failures as violations of customer anticipations (Gursoy et al., 2019; He & Harris, 2014; Leo & Huh, 2020; Tian & Oviatt, 2021).”
Generating Emotional Gestures for Handling Social Failures in HRI
Rossi, A., John, N. E., Taglialatela, G., & Rossi, S. (2022) · IEEE RO-MAN · doi:10.1109/ro-man53752.2022.9900637 · Cited by 5 · see citing works
“Social failures are errors that may contravene the social norms and can demean a robot’s socio-affective competence and relationship with its human user [5].”
BackgroundGaze and movement adaptation in response to delayed robotic movement during turn-taking
Stedtler, S., Fantasia, V., Tjøstheim, T. A., Brinck, I., Johansson, B., & Balkenius, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-17140-9 · Cited by 6 · see citing works
Liu, C., & Lin, C. (2026) · Online Information Review · doi:10.1108/oir-04-2025-0233 · Cited by 8 · see citing works
Manavi, M., Carros, F., Unbehaun, D., Eisenmann, C., Müller, L., Wieching, R., & Wulf, V. (2025) · i-com · doi:10.1515/icom-2024-0046 · Cited by 7 · see citing works
Leong, F. T. L., Li, X., & Chen, E. M. (2025) · Behavioral Sciences · doi:10.3390/bs15121682 · Cited by 8 · see citing works
“On the other hand, AI anxiety is perceived as individuals’ fear of losing their jobs or having their capabilities reduced as a result of incorporating artificial intelligence into the work-place (Tian & Oviatt, 2021).”
InfluentialReimagining Human-AI Relationships: A Positive Future for Chatbots, Social AI, and the Phygital Self
Ahuvia, A., Brandtzæg, P. B., Köles, B., Pagani, M., Malhotra, A., Izberk‐Bilgin, E., Cacho-Elizondo, S., Sarkar, M., & Belk, R. W. (2025) · Journal of Macromarketing · doi:10.1177/02761467251398717 · Cited by 6 · see citing works
“In these early stages, social AI exhibits errors, biases, stereotypes, and seriously harmful behaviors (Belanche et al., 2024; Bender et al., 2021; Crolic et al., 2022; Tian & Oviatt, 2021).”
On the Effect of Robot Errors on Human Teaching Dynamics
Huang, J., Sheidlower, I. S., Aronson, R. M., & Short, E. S. (2024) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3687272.3688320 · Cited by 4 · see citing works
“Previous studies have shown that robot errors can influence general human behavior, such as social responses [28], engagement with robots [51] and perceptions of robots [49].”
BackgroundBuilding for speech: designing the next-generation of social robots for audio interaction
Addlesee, A., & Papaioannou, I. A. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1356477 · Cited by 5 · see citing works
Emotion-aware Human–Robot Interaction and Social Robots
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502407 · Cited by 4 · see citing works
“In par ticular, we classified social errors in HRI as five categories, thirty sub-categories, as shown in Table 8.1 [Tian and Oviatt 2021].”
BackgroundMethodInfluentialSelf-citationForming We-intentions under breakdown situations in human-robot interactions
Guerrero, E., Tewari, M., Kalmi, P., & Lindgren, H. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107817 · Cited by 4 · see citing works
Using AI Planning for Managing Affective States in Social Robotics
Lindsay, A., Ramírez-Duque, A. A., Foster, M. E., & Petrick, R. P. A. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610978.3640744 · Cited by 4 · see citing works
Kontogiorgos, D. (2022) · doi:10.31237/osf.io/fpts4 · Cited by 4 · see citing works
Predicting Human Perceptions of Robot Performance during Navigation Tasks
Zhang, Q., Tsoi, N., Nagib, M., Choi, B., Tan, J., Chiang, H.-T. L., & Vázquez, M. (2025) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3719020 · Cited by 3 · see citing works
“This could be an indication that the robot made a mistake, triggering interaction recovery behaviors like apologies or explanations [74], which could increase trust on the system [19].”
Goo, H. G., Schadenberg, B. R., Kolkmeier, J., Truong, K. P., & Evers, V. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719739 · Cited by 3 · see citing works
“Prior research shows that robot errors often lower trust [35].”
InfluentialNagy, T.-N., Khavas, Z. R., Kotturu, M. R., Liefooghe, B., Robinette, P., & de Graaf, M. M. A. (2025) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3767729 · Cited by 3 · see citing works
“A notable finding was the high number of outliers and wide variance in both RoSAS and “Human Nature” trait ratings, together with a high number of “not applicable” responses on those scales.”
Tang, L. R., & Bashir, M. N. (2025) · IEEE International Conference on Human-Machine Systems (ICHMS) · doi:10.1109/ichms65439.2025.11154364 · Cited by 3 · see citing works
“Despite advances in automation technology, systems remain imperfect [73, 65].”
Naoum, A., Khanna, P., Yadollahi, E., Björkman, M., & Smith, C. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11245659 · Cited by 5 · see citing works
“While succinct failure explanations can streamline communication, they may inadvertently induce confusion and trigger negative emotional responses [12], [13], [14].”
Tomori, M. A., Ogunseiju, O. R., Ofori, J. N. A., & Cho, Y. K. (2025) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2025.103873 · Cited by 4 · see citing works
Trustworthiness Assessment of an Adaptive and Explainable Robot in a Real Environment
Cantucci, F., Marini, M., & Falcone, R. (2025) · International Journal of Social Robotics · doi:10.1007/s12369-025-01257-y · Cited by 3 · see citing works
“As a result, adaptive autonomy and even initiative become essential prerequisites and mandatory requirements for intelligent collaboration, despite they introduce various challenges related to failures, errors, conflicts, and vulnerability [ 21, 22 ].”
Zero-Shot Learning to Enable Error Awareness in Data-Driven HRI
Ravishankar, J., Doering, M., & Kanda, T. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610977.3634940 · Cited by 4 · see citing works
“These errors impede the fow of the interaction and degrade the user’s impressions of a robot’s competence [36], thus losing user trust in these systems and making users hesitant to rely on or engage with the technology [28].”
BackgroundStedtler, S., Fantasia, V., Tjøstheim, T. A., Johansson, B., Brinck, I., & Balkenius, C. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610978.3640667 · Cited by 3 · see citing works
“If robots fail to recip-rocate or provide feedback according to human expectations, the interaction tends to be deemed unsuccessful by humans [12, 14, 17].”
BackgroundGao, W., Tian, Y., Shen, S., Ji, Y., Sun, N., Song, W., & Zhai, W. (2024) · Applied Sciences · doi:10.3390/app14188164 · Cited by 3 · see citing works
PRISCA at ERR@HRI 2024: Multimodal Representation Learning for Detecting Interaction Ruptures in HRI
Pramanick, P., & Rossi, S. (2024) · doi:10.1145/3678957.3688387 · Cited by 3 · see citing works
“While many prior studies have examined interaction failures in human-robot interaction HRI [19], they focus on understanding the efects of such failures rather than developing methods for their automatic detection.”
Robert, F., Wu, H.-Y., Sassatelli, L., et al. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713700 · Cited by 3 · see citing works
“Tian and Oviatt [48] presented a taxonomy focused on human-robot social interaction errors and investigated their impact on the user’s perception of the system’s capability to achieve a task or have socio-affective interaction.”
Imperfectly Human: The Humanizing Potential of (Corrected) Errors in Text-Based CommunicationPreprint
Bluvstein, S., Zhao, X., Barasch, A., & Schroeder, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3901961 · Cited by 3 · see citing works
Lyu, H., Wang, X., Zhang, N., et al. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714235 · Cited by 2 · see citing works
Should robots display what they hear? Mishearing as a practical accomplishment
Rudaz, D., & Licoppe, C. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1597276 · Cited by 2 · see citing works
“A rich body of literature directly or indirectly addresses the issue of categorizing types of “errors” or “mistakes” produced by robots during an activity (Honig and Oron-Gilad, 2018; Tian and Oviatt, 2021).”
Human–Robot Interaction Strategy of Service Robot with Insufficient Capability in Self-Service Shop
Gao, W., He, T., Ji, Y., Kan, Y., & Zha, F. (2026) · Biomimetics · doi:10.3390/biomimetics11030213 · Cited by 2 · see citing works
“The interaction errors in HRI are categorized into two distinct classes as performance errors and social errors from the user-centered perspective [44,45].”
Name Pronunciation Extraction and Reuse in Human-Robot Conversations
Kennedy, J., Kumar, N., & Paetzel, M. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610978.3640689 · Cited by 2 · see citing works
“Not using the name can be seen as insufcient social skills, or be attributed to a misunderstanding [28].”
BackgroundAnalysis of Human Errors in Small Uncrewed Aerial Systems Used During Hurricane Ian
Murphy, R. R., Manzini, T., & Peres, S. C. (2024) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr62954.2024.10770053 · Cited by 2 · see citing works
“Other human-robot error tax-onomies, notably [15], [16], [17], are outside of the scope of this article as they focus on categorizing failures in terms of impact on the social-emotional aspects of how robots are perceived or how users interact with them socially, which are not germane to field…”
Enhancing Human-Agent Interaction via Artificial Agents That Speculate About the Future
Bennett, C. C., Bae, Y.-H., Yoon, J. H., Kim, S. Y., & Weiss, B. (2025) · Future Internet · doi:10.3390/fi17020052
Muravyov, D., & Cila, N. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791110 · Cited by 1 · see citing works
“Although some HRI studies do examine socially salient aspects of robot failure (e.g., [110, 111]), they often share an assumption that there is a single, internally coherent, and temporarily stable definition of ‘failure’ to be scientifically discovered in ‘the social’ or ‘interaction.”
Workshop on Multimodal Affect and Aesthetic Experience
Muszyński, M., Román-Rangel, E., Tian, L., et al. (2021) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3462244.3480981 · Cited by 2 · see citing works
“Recent research on affect has focused on the multimodal interaction of humans with: urban environments [5, 6, 23], films [9, 18, 21], digital archaeology and art [19, 20], and robots [22].”
BackgroundSelf-citationIntroduction to Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502400 · Cited by 1 · see citing works
Self-citationEmotion Recognition in the Wild
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502404 · Cited by 2 · see citing works
Self-citationReplayable Augmented Reality Visualization for Robot Fault Diagnosis: A Comparative Study
Richards, L., Ku, Y. S., Calvert, A., et al. (2025) · International Journal of Social Robotics · doi:10.1007/s12369-025-01219-4 · Cited by 1 · see citing works
“[12] presents a taxonomy for social errors in HRI.”
Implementación de la robótica educativa en el aula retos y oportunidades para los docentes
Hernández, R. S. V., Moya, R. S. R., Ortega, K. R. R., & Villacis, J. J. M. (2023) · Revista Ciencia Innovadora · doi:10.64422/rci.v1n2.2023.10 · Cited by 1 · see citing works
Exploring intergenerational interactions with tiny social robots: a qualitative study
Hung, L., Fu, J., Villarroel, V. M., Vega, P., Zhao, Y., Raval, K., Santaella, P., & Shao, D. (2025) · Frontiers in Dementia · doi:10.3389/frdem.2025.1698659 · Cited by 1 · see citing works
“This also supports the concerns expressed by students, as previous research similarly highlighted the critical importance of technology reliability for user trust and emphasized that this issue was worth paying attention to (Tian and Oviatt, 2021; Liu et al., 2023).”
To Help or Not to Help?: An Expanded Framework for Deciding Socially Appropriate Robot Assistance
Ramnauth, R., Brščić, D., & Scassellati, B. (2026) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3797264 · Cited by 1 · see citing works
“Robots lack this expressive granularity, so even small errors in timing or inference can carry disproportionate interpersonal costs [80].”
Human–Robot Interactive Performance Analysis with Enhanced Metacognition
Do, M., Lee, S. J., & Seol, J. (2026) · Journal of Computer Information Systems · doi:10.1080/08874417.2026.2637477 · Cited by 1 · see citing works
Context Aware Cognitive Architecture for Adaptive Socially Assistive Robots
Galeas, J., Tudela, A., Ballesteros, J., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-16992-1_21 · Cited by 1 · see citing works
Multilevel dynamics of the brain, hormones, mind, and behavior in social human-robot interaction
Topoglu, Y., Krüeger, F., Joshi, S., Rothstein, N. J., Franke, A. A., Li, X., Gratch, J. S., de Visser, E. J., & Ayaz, H. (2026) · Science Robotics · doi:10.1126/scirobotics.aec1762 · Cited by 1 · see citing works
Reinforcement Learning and Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502405 · Cited by 1 · see citing works
Self-citation"Noisy" Matching of Motion Velocity of an Assistive Robot to the Users' Walking Velocity
Kwak, D., Baselizadeh, A., van Otterdijk, M., Saplacan, D., & Tørresen, J. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610978.3640546 · Cited by 1 · see citing works
“This fnding resonates with ecological validity, users’ preference when robot behavior is aligned with human-like motions and human expectations [6, 12].”
BackgroundAn Automatic Evaluation Framework for Social Conversations with Robots
Paetzel, M., Lehman, J. F., Gomez, C. J., et al. (2024) · doi:10.1145/3648536.3648543 · Cited by 1 · see citing works
“Tian and Oviatt developed a taxonomy of social errors in HRI which relies on socio-affective competencies [26].”
BackgroundInteraction-aware augmented reality interface for assisting erring social robots
Hosoda, K., Brščić, D., & Kanda, T. (2025) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-025-00453-4 · Cited by 2 · see citing works
“There is a variety of ways in which robots can make mistakes during social interactions, ranging from performance errors when robots fail to perform a task to social errors violating various social norms [1, 2].”
Beneficios del uso la robótica educativa para mejorar el aprendizaje de la Matemática
Villacis, A. E. N., Veloz, A. B. L., Paredes, L. E. B., & Revelo, O. F. C. (2025) · Revista Ciencia Innovadora · doi:10.64422/rci.v3n1.2025.4 · Cited by 1 · see citing works
Multimodal Affect and Aesthetic Experience
Κωστούλας, Θ., Muszyński, M., Tian, L., et al. (2022) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3536221.3564035 · Cited by 1 · see citing works
“Recent research on afect has focused on the multimodal interaction of humans with: virtual environments [6, 7], urban environments [8, 9, 26], flms [11, 19, 24], digital archaeology and art [22, 23], and robots [25].”
BackgroundSelf-citationArtificial Stupidity in Robotics: Something Unwanted or Somehow Useful?
Roldán, J. J. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-21062-4_3 · Cited by 1 · see citing works
'Hello! How May I Helo You?': How (Corrected) Errors Humanize a CommunicatorPreprint
Bluvstein, S., Zhao, X., Barasch, A., & Schroeder, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3894518 · Cited by 1 · see citing works
Tabatabaei, R., Kostakos, V., & Johal, W. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790336
“More recently, Tian et al. [74] suggested a taxonomy comprising performance errors , which impair task execution (e.g., misinterpreting commands, navigation faults), and social errors , which undermine socio-afective competence by breaching interactional expectations (e.g., interrupting…”
Discrepancies between designs of robot communicative styles and their perceived assertiveness
Mckenzie-Mcharg, L., Kulić, D., & Tian, L. (2021) · IEEE RO-MAN · doi:10.1109/ro-man50785.2021.9515536
“collaboration that is effective, safe and natural, further advancements in the social communicative capacity of robots that resemble interpersonal communication are required [4].”
BackgroundSelf-citationFuture of Affective Computing and Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502411 · Cited by 1 · see citing works
Self-citationMultimodal Data Collection and Processing for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502403
Self-citationTian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502399
Self-citationTian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502412
Self-citationTian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502413
Self-citationApplied Affective Computing in Built Environments
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502409
Self-citationMachine Learning Approaches for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502402
Self-citationAffective Computing for Enhancing Well-Being
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502408
Self-citationSynthesizing Natural and Believable Emotional Expressions
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502406
Self-citationAddressing Ethical Issues of Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502410
Self-citationEmotions as Studied in Psychology and Cognitive Science
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502401
Self-citationHuman or Bot? How (Corrected) Errors Humanize a CommunicatorPreprint
Netter, S. B., Zhao, X., Barasch, A., & Schroeder, J. (2019) · doi:10.31234/osf.io/a92bv
- Authors
- Tian, L., & Oviatt, S.
- Affiliations
- Monash University (AU)
- Venue
- ACM Transactions on Human-Robot Interaction
- Published
- 2021-02-09
- Volume
- 10
- Issue
- 2
- Pages
- 1-32
- ISSN
- 2573-9522 (ISSN-L)
- OpenAlex
- W3128510346
- Cited by
- 133
- References
- 157
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 22 · 2023: 13 · 2022: 30 · 2021: 9 · 2019: 1
- FWCI
- 18.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM Transactions on Human-Robot Interaction (publishedVersion)
- Monash University Research Portal (Monash University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- human-robot interaction, socioemotional skills, trust in robots, user perception of robots, user heterogeneity, in-the-wild deployment, social interaction
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