A Second Chance to Make a First Impression? How Appearance and Nonverbal Behavior Affect Perceived Warmth and Competence of Virtual Agents over Time
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Agents do have a second chance to make a first impression.
“research shows that agents do have a second chance to make a first impression [13,29].”
From Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study (2020) · cites this paper as [13]
Animations of the agent's embodiment positively affect users' impressions of the agent and interaction time.
“Existing research provides evidence for implementation of animations of the agent’s embodiment, showing that animations positively affect users’ impressions of the agent [38-40] and interaction time [13,39].”
From Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study (2020) · cites this paper as [13]
Cites
Universal dimensions of social cognition: warmth and competence
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THE WARM‐COLD VARIABLE IN FIRST IMPRESSIONS OF PERSONS
KELLEY, H. H. (1950) · Journal of Personality · doi:10.1111/j.1467-6494.1950.tb01260.x · Cited by 509 · see citing works
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Human-like communication in conversational agents: a literature review and research agenda
van Pinxteren, M. M. E., Pluymaekers, M., & Lemmink, J. G. A. M. (2020) · Journal of service management · doi:10.1108/josm-06-2019-0175 · Cited by 282 · see citing works
“Moreover, a study by Bergmann et al. (2012) showed that appearance characteristics, such as human-like appearance (vs cartoonish appearance), have different effects than nonverbal behaviors, such as gestures.”
BackgroundSocial perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates
Harris, A. M., Larson, L., Lauharatanahirun, N., DeChurch, L. A., & Contractor, N. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107765 · Cited by 172 · see citing works
“Bergmann et al. (2012) found that impressions of AI warmth tended to decrease over time, whereas Pan et al. (2018) found that warmth ratings increased over time.”
BackgroundStereotyping human-like virtual influencers in retailing: Does warmth prevail over competence?
Hedhli, K. E., Zourrig, H., Khateeb, A. A., & Alnawas, I. A. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103459 · Cited by 189 · see citing works
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First Impressions in Human--Agent Virtual Encounters
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“Most recently, Bergmann et al. [2012] investigated how appearance and non-verbal immediacy affect the perceived warmth and competence of virtual agents over time.”
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“● The agent design features – age, gender and role – affect the perception of the characteristics of a static agent image at first glance; existing research confirms this finding (Bergmann et al., 2012).”
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“peated interactions with multiple days of zero exposure in between, instead of multiple measurements within one interaction session [10][23][44][60].”
BackgroundInfluentialExamining the Use of Nonverbal Communication in Virtual Agents
Wang, I., & Ruiz, J. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1898851 · Cited by 103 · see citing works
“Similarly, the strategic use of NVC also increases perceptions of warmth and likability in an agent (Bergmann et al., 2012; Cafaro et al., 2016).”
BackgroundWhen XR and AI Meet - A Scoping Review on Extended Reality and Artificial Intelligence
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“Some reviews specifcally address empathy [270] or the nonverbal behavior [30] of agents.”
BackgroundMediated Social Support for Distress Reduction: AI Chatbots vs. Human
Meng, J., Rheu, M., Zhang, Y., Dai, Y. H., & Peng, W. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579505 · Cited by 85 · see citing works
“But research conducted in other contexts has revealed that a bot’s ability to speak [31] or exhibit human-like non-verbal cues enhanced users’ perceived warmth and competence of the robots [4].”
BackgroundReeves, B. B., Hancock, J. T., & Liu, X. (2020) · Technology Mind and Behavior · doi:10.1037/tmb0000018 · Cited by 84 · see citing works
“The same evaluations have been used occasionally in the past research to comment on particular attributes of robots (Bergmann et al., 2012; Eyssel & Hegel, 2012), but no research has looked at their applicability across a large sample of robots.”
MethodThe Effects of Warmth and Competence Perceptions on Users' Choice of an AI System
Gilad, Z., Amir, O., & Levontin, L. (2021) · International Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3446863 · Cited by 74 · see citing works
“Several studies explored the warmth perceptions of artifcial entities, showing that people are open to the idea that such entities can possess human-like traits, such as warmth (e.g., [4, 6, 22]).”
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“Nevertheless, people’s impression on chatbots can evolve in a short time [37], and future research is encouraged to explore this effect with more sessions spread in a longer period of time.”
BackgroundIdentifying Emotions from Walking using Affective and Deep FeaturesPreprint
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“Researchers have proposed models of friendliness based on movement cues such as gaits, gestures, and gazing [34], [35], [36], [37] for robotics and VR applications.”
BackgroundKulms, P., & Kopp, S. (2019) · Proceedings of Mensch und Computer 2019 · doi:10.1145/3340764.3340793 · Cited by 68 · see citing works
“For instance, anthropomorphic signals offer possibilities to shape time-dependent warmth and competence attributions of virtual agents [4].”
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BackgroundAn experimental psychological perspective on social robotics
Eyssel, F. (2016) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.08.029 · Cited by 72 · see citing works
Self-citationThe Impact of Virtual Reality in the Social Presence of a Virtual Agent
Guimarães, M., Prada, R., Santos, P. A., Dias, J., Jhala, A. H., & Mascarenhas, S. F. (2020) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3383652.3423879 · Cited by 67 · see citing works
“It has been shown that while the visual presence and appearance of IVAs can have a major impact on humans, for example, in motivation and affect, it is independent of the underlying technical sophistication [2] [4].”
BackgroundDashed expectations in service experiences. Effects of robots human-likeness on customers’ responses
Grazzini, L., Viglia, G., & Nunan, D. (2023) · European Journal of Marketing · doi:10.1108/ejm-03-2021-0220 · Cited by 86 · see citing works
Kulms, P., & Kopp, S. (2018) · Frontiers in Digital Humanities · doi:10.3389/fdigh.2018.00014 · Cited by 66 · see citing works
“Previous work has already provided evidence for the relevance of warmth and competence attributions as underlying dimensions of social perception inHCI (Niewiadomski et al., 2010; Bergmann et al., 2012).”
BackgroundSelf-citationLiu, S., Shen, Q., & Hancock, J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106942 · Cited by 62 · see citing works
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“, [1, 4, 20, 27]).”
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“Therefore, individuals also generate warmth or competence perceptions when evaluating robots (Bergmann et al., 2012; Mieczkowski et al., 2019).”
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“To measure competence perception of the finance coach (e.g., Bergmann et al., 2012), we asked participants to rate the finance coach on a five-point Likert scale—from 1 (not at all) to 5 (very)—using five traits (competent, experienced, intelligent, efficient, and capable).”
BackgroundGood vibrations: How consequential sounds affect perception of robotic arms
Tennent, H., Moore, D., Jung, M. F., & Ju, W. (2017) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/roman.2017.8172414 · Cited by 50 · see citing works
“[4] found that the use of gestures in a virtual agent significantly increased a person’s perception of the agent’s competence.”
BackgroundDisabled or Cyborg? How Bionics Affect Stereotypes Toward People With Physical Disabilities
Meyer, B., & Asbrock, F. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02251 · Cited by 47 · see citing works
“We believe that this finding can add to a new line of research at the intersection of technology and (social) psychology that investigates how technological developments affect psychological processes (e.g., Bergmann et al., 2012).”
BackgroundExploring the Alignment Space – Lexical and Gestural Alignment with Real and Virtual Humans
Bergmann, K., Branigan, H. P., & Kopp, S. (2015) · Frontiers in ICT · doi:10.3389/fict.2015.00007 · Cited by 42 · see citing works
Self-citationWhat makes virtual agents believable?
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The robot-to-robot service encounter: an examination of the impact of inter-robot warmth
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Development and Validation of a Basic Psychological Needs Scale for Technology Use
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The Impact of an Embodied Agent's Emotional Expressions Over Multiple Interactions
Creed, C., Beale, R., & Cowan, B. R. (2015) · Interacting with computers · doi:10.1093/iwc/iwt064 · Cited by 39 · see citing works
“Bergmann et al. (2012) examined the difference between first and second impressions between robot and human avatars.”
BackgroundEmbodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study
ter Stal, S., Broekhuis, M., van Velsen, L., Hermens, H., & Tabak, M. (2020) · JMIR Human Factors · doi:10.2196/19987 · Cited by 36 · see citing works
“Existing research provides evidence for implementation of animations of the agent’s embodiment, showing that animations positively affect users’ impressions of the agent [38-40] and interaction time [13,39].”
BackgroundThe role of recommendation sources and attribute framing in online product recommendations
Yang, Y., Zheng, J.-H., Yu, Y.-N., Qiu, Y., & Wang, L. (2024) · Journal of business research · doi:10.1016/j.jbusres.2024.114498 · Cited by 36 · see citing works
Recipient design in human–robot interaction: the emergent assessment of a robot’s competence
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“First encounters (Bergmann et al. 2012) are particularly revealing because, as participants have no reliable knowledge of the robot’s interactional competencies, they rely on their own assumptions as well as what they discover about those competencies in the course of their interaction with the…”
Conversational Agents: Theory and Applications
Wahde, M., & Virgolin, M. (2022) · arXiv.org · doi:10.1142/9789811246050_0012 · Cited by 36
Modeling the Semantic Coordination of Speech and Gesture under Cognitive and Linguistic Constraints
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“It has, for instance, been demonstrated that a virtual agent’s use of gestures might enhance the perceived verbal eloquence [7] as well as users’ ratings of the agent, mostly in terms of competence [3].”
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“For example, interactions with embodied agents that exhibited nonverbal feedback such as gestures were shown to engender more favorable evaluations (Bergmann et al., 2012; Krämer et al., 2013) and increase a sense of realism (e.g., Garau et al., 2005).”
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“People tend to interact with others who provide favorable impressions [1].”
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Servant by default? How humans perceive their relationship with conversational AI
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“…et al., 2010), a lot of studies in the broader field of human-AI interaction focused on the human-like perception of AI systems (assessing constructs such as perceived warmth, competence, or anthropomorphism, e.g., Bergmann et al., 2012; Gilad et al., 2021; Gong, 2008; Purington et al., 2017).”
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“With respect to [10], we consider more behaviours than only co-speech gestures, such as facial expressions, trunk leaning and head poses.”
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“Third, while prior research on HRI suggests that various factors such as appearance (Bergmann et al., 2012; Kim et al., 2019), expression (i.e. smile) (Yu & Boyol Ngan, 2019), and gesture (Biancardi et al., 2017; Salem et al., 2013) a ff ect judgment of warmth for non-human entities, the e ff ect of…”
BackgroundFVA:Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics
Randhavane, T., Bera, A., Kapsaskis, K., Gray, K. J., & Manocha, D. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2932235 · Cited by 30 · see citing works
“Bergmann et al. [11] used gestures to communicate warmth in virtual agents.”
BackgroundMethodInfluentialThe Effect of Virtual Agent Warmth on Human-Agent Negotiation
Prajod, P., Owayyed, M. A., Rietveld, T., van der Steeg, J., & Broekens, J. (2019) · Adaptive Agents and Multi-Agent Systems · doi:10.65109/rrlu9445 · Cited by 27
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“…out that affective evaluation plays a crucial role in a user ’ s experience (Dirin et al., 2018; Knutson & Greer, 2008), and VR technologies are an effective medium for evoking affective experiences, such as impressions (Bergmann et al., 2012; Cafaro et al., 2016 ; Ghanbarzadeh & Ghapanchi, 2020).”
BackgroundInfluentialAdapted Foreigner-directed Communication towards Virtual Agents
Lugrin, B., Eckstein, B., Bergmann, K., & Heindl, C. (2018) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3267851.3267859 · Cited by 23 · see citing works
“Following [7], we also assessed participants’ perceptions of the virtual agents on the scales warmth and competence [17].”
MethodSelf-citationFetscherin, M., Tantleff-Dunn, S., & Klumb, A. (2020) · Journal of Social Psychology · doi:10.1080/00224545.2019.1671300 · Cited by 25
Straßmann, C., Krämer, N. C., Buschmeier, H., & Kopp, S. (2020) · Journal of Medical Internet Research · doi:10.2196/13726 · Cited by 32 · see citing works
Self-citationAbubshait, A., & Wykowska, A. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.565825 · Cited by 31 · see citing works
“Prior work has shown negative impacts of multiple exposures on subjective perceptions of robots over time (Bergmann et al., 2012), and recent approaches in social neuroscience (Schilbach et al., 2013) highlight the need for more ecologically valid paradigms for studying mechanisms of social…”
BackgroundAdaptation Mechanisms in Human–Agent Interaction: Effects on User’s Impressions and Engagement
Biancardi, B., Dermouche, S., & Pelachaud, C. (2021) · Frontiers of Computer Science · doi:10.3389/fcomp.2021.696682 · Cited by 23 · see citing works
The black sheep effect: The case of the deviant ingroup robot
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“This finding contradicts previous research which demonstrated robot body language can enhance perception of robot warmth [45],[63].”
BackgroundResultFostering User Engagement in Face-to-Face Human-Agent Interactions: A Survey
Clavel, C., Cafaro, A., Campano, S., & Pélachaud, C. (2016) · Intelligent systems reference library · doi:10.1007/978-3-319-31053-4_7 · Cited by 21 · see citing works
Task type's effect on attitudes towards voice assistants
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“When we interact with another human, or ECA, for the first time, we immediately form initial ideas about the other [16,17].”
BackgroundWhen Should I Lead or Follow: Understanding Initiative Levels in Human-AI Collaborative Gameplay
Lobo, I., Koch, J., Renoux, J., Batina, I. N., & Prada, R. (2024) · Conference on Designing Interactive Systems · doi:10.1145/3643834.3661583 · Cited by 17 · see citing works
“The perceived warmth and competence of the agent was measured using the Warmth and Competence Scales [7].”
MethodA Computational Model for Managing Impressions of an Embodied Conversational Agent in Real-Time
Biancardi, B., Wang, C., Mancini, M., Cafaro, A., Chanel, G., & Pélachaud, C. (2019) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2019.8925495 · Cited by 23 · see citing works
“[17] found that human-like vs.”
Stein, J., Cimander, P., & Appel, M. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00878-x · Cited by 17 · see citing works
“technologies may indeed appear more or less competent [49], persuasive [50], cooperative [51], authoritative [52], or dominant [53] to their human users.”
BackgroundThe Impact of an Agent’s Voice in Psychological Counseling: Session Evaluation and Counselor Rating
Kim, H. C., Cha, M. C., & Ji, Y. G. (2021) · Applied Sciences · doi:10.3390/app11072893 · Cited by 17 · see citing works
“It is also an important matter in studies on the agent to formulate positive long-term relationship with people through social interactions [63].”
BackgroundLam, L., Choi, M., Mukanova, M., Hauser, K., Zhao, F., Mayer, R. E., Mousas, C., & Adamo‐Villani, N. (2023) · ACM Symposium on Applied Perception · doi:10.1145/3605495.3605791 · Cited by 13 · see citing works
“Literature showed that first impressions influenced whether humans build relations with others and find their interactions believable [Bergmann et al. 2012].”
BackgroundWow, You Are Terrible at This!
Wang, I., Buchweitz, L., Smith, J., Bornholdt, L.-S., Grund, J., Ruiz, J., & Korn, O. (2020) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3383652.3423887 · Cited by 10 · see citing works
“As users are more sensitive to human-like agents [8], the human agent’s negative feedback should be perceived more negatively than corresponding feedback from the robot and the mouse.”
BackgroundInfluentialManaging an Agent's Self-Presentational Strategies During an Interaction
Biancardi, B., Mancini, M., Lerner, P., & Pelachaud, C. (2019) · Frontiers in Robotics and AI · doi:10.3389/frobt.2019.00093 · Cited by 14 · see citing works
“Bergmann et al. found that human-like vs. robot-like appearance positively affects impressions of warmth, while the presence of co-speech gestures increases competence judgements (Bergmann et al., 2012).”
Formalising Believability and Building Believable Virtual Agents
Bogdanovych, A., Trescak, T., & Simoff, S. J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-14803-8_11 · Cited by 9 · see citing works
“First impressions are, therefore, an important basis for whether humans will build relations with others and find their interactions believable [2].”
BackgroundPerceived Intelligence in Human-Robot Interaction: A Review
Tusseyeva, I., Sandygulova, A., & Rubagotti, M. (2024) · IEEE Access · doi:10.1109/access.2024.3478751 · Cited by 14 · see citing works
“The authors of [47] stated that a limitation of their study is the fact that it did not consider the influence of other elements, such as the agent’s voice or other nonverbal cues.”
BackgroundMethodInfluentialSmart Speaker vs. Social Robot in a Case of Hotel Room
Nakanishi, J., Baba, J., Kuramoto, I., Ogawa, K., Yoshikawa, Y., & Ishiguro, H. (2020) · IEEE/RJS International Conference on Intelligent RObots and Systems · doi:10.1109/iros45743.2020.9341537 · Cited by 13
“Warmth and competence were measured by warmth-related and competence-related trait adjectives in previous studies [21], [24].”
ResultBiancardi, B., Cafaro, A., & Pelachaud, C. (2017) · ISIAA@ICMI · doi:10.1145/3139491.3139498 · Cited by 13 · see citing works
“W&C perception in virtual agents has been measured in several studies (e.g., [14], [3]).”
MethodAccessing Cultural Artifacts through Digital Companions: The Effects on Children's Engagement
Rehm, M., & Jensen, M. L. (2015) · International Conference on Culture and Computing · doi:10.1109/culture.and.computing.2015.44 · Cited by 13 · see citing works
“[31] investigated agents with nonnaturalistic appearance with and without gesture behavior and found that the non-naturalistic agent was perceived having more warmth (e.”
BackgroundWang, M., Lee, S. C., & Jeon, M. (2024) · Human-Computer Interaction · doi:10.1080/07370024.2024.2341217 · Cited by 10 · see citing works
“Such appearance change also impacts how users perceive the agent (Bergmann et al., 2012; Kwak, 2014; Li et al., 2010).”
Getting acquainted: First steps for child-robot relationship formation
Ligthart, M. E. U., Neerincx, M. A., & Hindriks, K. V. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.853665 · Cited by 10 · see citing works
“Differences in all these factors also affect the perception of, and ultimately the relationship with, robots over time (Bergmann et al., 2012; Paetzel et al., 2020).”
BackgroundAge-Related Differences in Fixation Pattern on a Companion Robot
Oh, Y., & Ju, D.-Y. (2020) · Italian National Conference on Sensors · doi:10.3390/s20133807 · Cited by 11 · see citing works
“Another study showed a short introductory video of an agent for 15 s to investigate participants’ first impression of it [8].”
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“participants completed the Rapport scale [14], the scales for perceived usefulness for tasks (modified from [15]), a perceived competence scale [16], and the Godspeed anthropomorphism subscale [17].”
MethodDubiel, M., Leiva, L. A., Bongard-Blanchy, K., & Sergeeva, A. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3685274 · Cited by 15 · see citing works
“Speaking about competence in the agents, it is often operationalised through making the agent to appear ‘intelligent’ and ‘expert’ [13].”
Perceptions of feminist beliefs influence ratings of warmth and competence
Meijs, M. H. J., Ratliff, K. A., & Lammers, J. (2019) · Group Processes & Intergroup Relations · doi:10.1177/1368430217733115 · Cited by 10 · see citing works
Wang, I., Calvo, R. L., Wang, H., & Ruiz, J. (2023) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3570945.3607322 · Cited by 8 · see citing works
“This change in helpfulness could also be attributed to the phenomenon of impressions of an agent evolving over time [5].”
BackgroundDamholdt, M. F., Vestergaard, C., Kryvous, A., Smedegaard, C. V., & Seibt, J. (2019) · Paladyn Journal of Behavioral Robotics · doi:10.1515/pjbr-2019-0034 · Cited by 9 · see citing works
“For instance, in a study exploring two aspects of impressions: “warmth” and “competence”, Bergmann and colleagues [9] reported that ratings of the perceived warmth of a virtual interaction agent shaped in the form of a robot was influenced by the agents appearance and decreased over time (i.”
BackgroundAn Imperfectly Perfect Robot: Discovering Interaction Design Strategy for Learning Companion
Kim, H. Y., Kim, B., Jun, S., & Kim, J. (2017) · IEEE/ACM International Conference on Human-Robot Interaction · doi:10.1145/3029798.3038360 · Cited by 9 · see citing works
“Human-like agents are preferred by users since it is more likely that they give a steadier impression of warmth [4], which generates positive symbolic meaning [1].”
BackgroundNissen, A., & Jahn, K. (2021) · Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.043 · Cited by 9 · see citing works
“warmth, and competence of a robot are made [1, 2].”
BackgroundSöderlund, M. (2023) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2023.2253003 · Cited by 6 · see citing works
Influence of Visual Appearance of Agents on Presence, Attractiveness, and Agency in Virtual Reality
Butz, M., Hepperle, D., & Wölfel, M. (2021) · Arts and Technology · doi:10.1007/978-3-030-95531-1_4 · Cited by 8 · see citing works
Exploring Variables That Affect Robot Likeability
Zhong, V. J., Mürset, N., Jäger, J., & Schmiedel, T. (2022) · IEEE/ACM International Conference on Human-Robot Interaction · doi:10.1109/hri53351.2022.9889602 · Cited by 6 · see citing works
“Perceived warmth and competence of robots might be influenced by their appearance and non-verbal behavior [27].”
BackgroundPrevious Announcement Method Using 3D CG Face Interface for Mobile Robot
Mikawa, M., Lyu, J., Fujisawa, M., Hiiragi, W., & Ishibashi, T. (2020) · J. Robotics Mechatronics · doi:10.20965/jrm.2020.p0097 · Cited by 6
Computational gesture research
Kopp, S. (2017) · Gesture studies · doi:10.1075/gs.7.13kop · Cited by 8 · see citing works
Self-citationBody Language for Personal Robot Arm Assistant
Chatterjee, S., Parmet, Y., & Oron-Gilad, T. (2021) · International Journal of Social Robotics · doi:10.1007/s12369-021-00748-y · Cited by 5 · see citing works
“It is arguable whether perceptions reported after having these interactions should be termed “initial perceptions”, because according to Bergmann’s report [10], first impressions are modifiable through direct interactions.”
BackgroundInfluentialUse of a humanoid robot for auditory psychophysical testing
Meyer, L., Rachman, L., Araiza-Illan, G., Gaudrain, É., & Başkent, D. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294328 · Cited by 4 · see citing works
“[62] has shown how over the course of an interaction, perceptions of warmth and competence of a virtual agent can change, whereas [63] has shown how during an interaction with a robot, positive interactions tend to result in more favourable perceptions of the robot.”
BackgroundExploring Possibilities of Social Robot’s Interactive Services in the Case of a Hotel Room
Nakanishi, J., Hazama, T., Baba, J., Song, S., Yoshikawa, Y., & Ishiguro, H. (2021) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/ro-man50785.2021.9515380 · Cited by 4
“Warmth and competence were measured by warmth-related and competence-related trait adjectives, as well as in previous studies [11], [12].”
ResultPromises of Anthropomorphism in Virtual Coaches: Current Research and Future Directions
Kang, J., & Wei, L. (2020) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3421937.3421945 · Cited by 4 · see citing works
“previous works, researchers have examined the utility of anthropomorphizing virtual agents by facial representation [12], gesture use [1], linguistic styles [26], and support-providing abilities [16], etc.”
BackgroundMaj, K., & Zarzycki, P. (2019) · Paladyn Journal of Behavioral Robotics · doi:10.1515/pjbr-2019-0026 · Cited by 5 · see citing works
“As in the case of people, in the first step the observer formulates the first impression in contact with the robot [55].”
BackgroundThe Influence of Body Proportions on Perceived Gender of Robots in Latin America
Trovato, G., Lucho, C., Eyssel, F., & Bernotat, J. (2017) · International Conference on Love and Sex with Robots · doi:10.1007/978-3-319-76369-9_12 · Cited by 4
Self-citationA Novel Online Robot Design Research Platform to Determine Robot Mind Perception
Pittman, D. E., Haring, K. S., Kim, P., Dossett, B., Ehman, G., Gutierrez-Gutierrez, E., Patil, S., & Sanchez, A. (2022) · IEEE/ACM International Conference on Human-Robot Interaction · doi:10.1109/hri53351.2022.9889539 · Cited by 3 · see citing works
“Form factor design has been shown to generally influence human expectations of the robot [12], perceived trust [13]– [15], intelligence [16], [17], and warmth and competence [18], [19].”
BackgroundImpression Detection and Management Using an Embodied Conversational Agent
Wang, C., Biancardi, B., Mancini, M., Cafaro, A., Pelachaud, C., Pun, T., & Chanel, G. (2020) · Interacción · doi:10.1007/978-3-030-49062-1_18 · Cited by 3 · see citing works
“For example, Bergmann et al. [11] found that human-like vs. robot-like appearance positively affected the perception of warmth, while the presence of co-speech gestures increased competence judgements.”
ENGLISH PROFICIENCY OF HOTEL FRONT-LINERS: WHAT AND WHY?
Datu, Y. A. (2019) · doi:10.24123/jbt.v3i02.2506 · Cited by 3
Towards a computational model for first impressions generation
Biancardi, B. (2017) · International Conference on Multimodal Interaction · doi:10.1145/3136755.3137031 · Cited by 3 · see citing works
“With respect to Bergmann and colleagues [3], we choose to consider more behaviors than only co-speech gestures, such as facial expressions, trunk leaning and head poses.”
BackgroundDiehl, C., Schiffhauer, B., Eyssel, F., Achenbach, J., Klett, S., Botsch, M., & Kopp, S. (2017) · International Conference on Intelligent Virtual Agents · doi:10.1007/978-3-319-67401-8_13 · Cited by 3 · see citing works
“[12,13,14,15]) we hypothesize that the relationship between freedom of choice in the selection procedure and satisfaction with the virtual agent as well as the rating of agent’s suitability for its task would be mediated by the evaluation of the resulting agent in terms of likeability, attractiveness, warmth, competen…”
BackgroundSelf-citationWeiß, B., Wechsung, I., Hillmann, S., & Möller, S. (2016) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-016-0233-8 · Cited by 4 · see citing works
“, continuing watching the virtual human) differed significantly from the first impression ratings, indicating for example an instability in the dimension “Warmth” for robotic appearance [5].”
BackgroundGigliotti, M. F., Desrosiers, P. A., Ott, L., Daoudi, M., & Coello, Y. (2024) · Virtual Reality · doi:10.1007/s10055-024-00992-3 · Cited by 2 · see citing works
“…to adapt their gaze behaviour and facial expressions to the virtual agent’s gaze and body direction (Marschner et al. 2015), and to produce verbal utterances and discussion topics resembling the ones produced in the presence of a real human interlocutor (Bergmann et al. 2012 ; Lugrin et al. 2018).”
Controlling the Impression of Robots via GAN-based Gesture Generation
Wu, B., Shi, J.-Q., Liu, C., Ishi, C., & Ishiguro, H. (2022) · IEEE/RJS International Conference on Intelligent RObots and Systems · doi:10.1109/iros47612.2022.9981535 · Cited by 2 · see citing works
Kiss, C., Harmat, V., & Milassin, A. N. (2022) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2022.08-09.01 · Cited by 2 · see citing works
“…ját - szanak az attitűdök kialakulásában, így a robot emberhez való hasonlósága (Katz & Halpern, 2014), a kognitív ké - pességeinek a szintje (Bergmann, Eyssel, & Kopp, 2012; Demeure, 2011; Demeure, Niewiadomski, & Pelachaud, 2010; Fraune et al., 2017), valamint a robottal kapcsolatos…”
BackgroundAhmed, E., & Ahtinen, A. (2021) · International Conference on Human-Agent Interaction · doi:10.1145/3472307.3484163 · Cited by 2 · see citing works
- Authors
- Bergmann, K., Eyssel, F., & Kopp, S.
- Affiliations
- Bielefeld University (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 126-138
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W83463411
- Cited by
- 136
- References
- 0
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 6 · 2023: 20 · 2022: 14 · 2021: 15 · 2020: 16 · 2019: 17 · 2018: 7 · 2017: 12 · 2016: 6 · 2015: 5 · 2014: 1 · 2013: 3
- FWCI
- 5.77
- Type
- conference paper
- Language
- en
- Open access
- green
- pub.uni-bielefeld.de
- Licence
- other-oa
- Locations
- Lecture notes in computer science (publishedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion, other-oa)
- Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Keywords
- virtual agents, first impressions, second chances, perceived warmth, perceived competence, nonverbal behavior, gesture, agent appearance, social cognition, time effects
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