Cited by 118Social Robot Interaction and HRIAI in Service InteractionsHuman-Automation Interaction and Safety

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Human–robot similarity and willingness to work with a robotic co-worker

Open access

You, Sangseok, Robert Jr., Lionel P.·2018·Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

DOI 10.1145/3171221.3171281

Open this paper in CoChat — free account Open PDF

Abstract

Organizations now face a new challenge of encouraging their employees to work alongside robots. In this paper, we address this problem by investigating the impacts of human-robot similarity, trust in a robot, and the risk of physical danger on individuals' willingness to work with a robot and their willingness to work with a robot over a human co-worker. We report the results from an online experimental study involving 200 participants. Results showed that human-robot similarity promoted trust in a robot, which led to willingness to work with robots and ultimately willingness to work with a robot over a human co-worker. However, the risk of danger moderated not only the positive link between the surface-level similarity and trust in a robot, but also the link between intention to work with the robot and willingness to work with a robot over a human co-worker. We discuss several implications for the theory of human-robot interaction and design of robots.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1145/3171221.3171281

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
E-commerce: the role of familiarity and trust.
Gefen, D. (2000) · Omega · doi:10.1016/s0305-0483(00)00021-9 · Cited by 3,529
Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition.
Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.197 · Cited by 2,517 · cited 1×
“in cognitive processes in general [8, 30].”
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811417254 · Cited by 2,051 · cited 10×
“Human-related factors include disposition to trust, negative attitudes toward robots, and individuals’ personality [22, 29, 42, 44].”
BackgroundInfluential
Foundations for an Empirically Determined Scale of Trust in Automated Systems
Jian, J.-Y., Bisantz, A. M., & Drury, C. G. (2000) · International Journal of Cognitive Ergonomics · doi:10.1207/s15327566ijce0401_04 · Cited by 1,799
Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants
Hauser, D. J., & Schwarz, N. (2016) · Behavior Research Methods · doi:10.3758/s13428-015-0578-z · Cited by 1,739
TIME, TEAMS, AND TASK PERFORMANCE: CHANGING EFFECTS OF SURFACE- AND DEEP-LEVEL DIVERSITY ON GROUP FUNCTIONING.
Price, K. H., Harrison, D. A., Gavin, J. H., & Florey, A. T. (2002) · Academy of Management Journal · doi:10.2307/3069328 · Cited by 1,594
An atlas of physical human–robot interaction
Santis, A. D., Siciliano, B., Luca, A. D., & Bicchi, A. (2007) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2007.03.003 · Cited by 825

Show all 69 references

Research works printed but not linked: 3

D. E. Byrne . 1971. The Attraction Paradigm , Vol. 11 . Academic Press, Cambridge , MA. D. E. Byrne. 1971. The Attraction Paradigm, Vol. 11. Academic Press, Cambridge, MA.
10.5555/1698252.1698256 · DOI
Harold L. Sirkin , Michael Zinser , and Justin Rose . 2015. Industries and Economies Leading the Robotics Revolution. (Sept. 23 , 2015 ). Retrieved Jan . 3, 2018 from https://www.bcgperspectives.com/content/articles/lean-manufacturing-innovation-industries-economies-leading-robotics-revolution/ Harold L. Sirkin, Michael Zinser, and Justin Rose. 2015. Industries and Economies Leading the Robotics Revolution. (Sept. 23, 2015). Retrieved Jan. 3, 2018 from https://www.bcgperspectives.com/content/articles/lean-manufacturing-innovation-industries-economies-leading-robotics-revolution/

Sorted by citations

Machines as teammates: A research agenda on AI in team collaboration
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., et al. (2020) · Information & Management · doi:10.1016/j.im.2019.103174 · Cited by 835
“My colleague is a robot” – exploring frontline employees' willingness to work with collaborative service robots
Paluch, S., Tuzovic, S., Holz, H., Kies, A., & Jörling, M. (2021) · Journal of Service Management · doi:10.1108/josm-11-2020-0406 · Cited by 135
AI-powered recommendations: the roles of perceived similarity and psychological distance on persuasion
Ahn, J., Kim, J., & Sung, Y. (2021) · International Journal of Advertising · doi:10.1080/02650487.2021.1982529 · Cited by 115
Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots
Ghazali, A. S., Ham, J. R. C., Barakova, E. I., & Markopoulos, P. (2020) · International Journal of Social Robotics · doi:10.1007/s12369-019-00611-1 · Cited by 121
Collaborating with technology-based autonomous agents
Seeber, I., Waizenegger, L., Seidel, S., Morana, S., Benbasat, I., & Lowry, P. B. (2020) · Internet Research · doi:10.1108/intr-12-2019-0503 · Cited by 127
Modeling Trust in Human-Robot Interaction: A Survey
Khavas, Z. R., Ahmadzadeh, R., & Robinette, P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-62056-1_44 · Cited by 120
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems
Riveiro, M., & Thill, S. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103507 · Cited by 93
Trust: Recent concepts and evaluations in human-robot interaction
Law, T., & Scheutz, M. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819472-0.00002-2 · Cited by 83
Do You Still Trust Me? Human-Robot Trust Repair Strategies
Esterwood, C., & Robert, L. P. (2021) · 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) · doi:10.1109/ro-man50785.2021.9515365 · Cited by 75
Self-citation
How Linguistic Framing Affects Factory Workers' Initial Trust in Collaborative Robots: The Interplay Between Anthropomorphism and Technological Replacement
Kopp, T., Baumgartner, M., & Kinkel, S. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102730 · Cited by 80
Effective Persuasion Strategies for Socially Assistive Robots
Winkle, K., Lemaignan, S., Caleb-Solly, P., Leonards, U., Turton, A., & Bremner, P. (2019) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2019.8673313 · Cited by 75
Can You Trust Your Trust Measure?
Chita-Tegmark, M., Law, T., Rabb, N., & Scheutz, M. J. (2021) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3434073.3444677 · Cited by 73
A Unified Bi-Directional Model for Natural and Artificial Trust in Human–Robot Collaboration
Azevedo-Sa, H., Yang, X. J., Robert, L., & Tilbury, D. M. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3088082 · Cited by 64
Explanations and Expectations: Trust Building in Automated Vehicles
Haspiel, J., Du, N., Meyerson, J., Robert Jr., L. P., Tilbury, D., Yang, X. J., & Pradhan, A. K. (2018) · Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3173386.3177057 · Cited by 79
Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption
Libert, K., Mosconi, E. P., & Cadieux, N. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.066 · Cited by 58
Interacting with Chatbots: Message type and consumers' control
Whang, J.-B., Song, J. H., Lee, J., & Choi, B. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.012 · Cited by 70
Can a Robot Be a Good Colleague?
Nyholm, S. R., & Smids, J. (2019) · Science and Engineering Ethics · doi:10.1007/s11948-019-00172-6 · Cited by 62
Human-robot interaction: Conceptualising trust in frontline teams through LEGO® Serious Play®
Simon, O., Neuhofer, B., & Egger, R. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2020.100692 · Cited by 57
How and When Can Robots Be Team Members? Three Decades of Research on Human–Robot Teams
Wolf, F. D., & Stock, R. (2022) · Group & Organization Management · doi:10.1177/10596011221076636 · Cited by 56
Delegation or Collaboration: Understanding Different Construction Stakeholders’ Perceptions of Robotization
Kim, Y., Kim, H., Murphy, R. R., Lee, S. H., & Ahn, C. R. (2021) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000994 · Cited by 53
A Systematic Review of Human and Robot Personality in Health Care Human-Robot Interaction
Esterwood, C. T., & Robert, L. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.748246 · Cited by 47
Human–robot interaction through the lens of social psychological theories of intergroup behavior.
Smith, E. R., Šabanović, S., & Fraune, M. R. (2020) · Technology Mind and Behavior · doi:10.1037/tmb0000002 · Cited by 46
A novel robot co-worker system for paint factories without the need of existing robotic infrastructure
Rey, R., Cobano, J. A., Corzetto, M., Merino, L., Alvito, P., & Caballero, F. (2021) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2021.102122 · Cited by 45
Working with robots: A job design perspective of hospitality employees’ collaboration intentions with service robots
Wang, D., Ma, E., & Leung, X. Y. (2024) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2024.09.012 · Cited by 48
The Effects of Intimacy and Proactivity on Trust in Human-Humanoid Robot Interaction
Chien, S.-Y. J., Lin, Y.-L., & Chang, B.-F. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10324-y · Cited by 43
The Hitchhiker’s Guide to a Credible and Socially Present Robot: Two Meta-Analyses of the Power of Social Cues in Human–Robot Interaction
Xu, K., Chen, M., & You, L. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-022-00961-3 · Cited by 40
How the perceived substitution of AI technology hinders nurses’ innovation behavior: the mediating role of AI anxiety and human-AI cooperation intention and the moderating role of organizational AI readiness
Fan, J., Zhang, L., Li, N., & Man, S. (2025) · BMC Nursing · doi:10.1186/s12912-025-03265-9 · Cited by 50
Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction
You, S., & Robert, L. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.031 · Cited by 37
Self-citation
Personality in Healthcare Human Robot Interaction (H-HRI)
Esterwood, C. T., & Robert, L. (2020) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3406499.3415075 · Cited by 37
The ABC of algorithmic aversion: not agent, but benefits and control determine the acceptance of automated decision-making
Schaap, G., Bosse, T., & Vettehen, P. H. (2023) · AI & Society · doi:10.1007/s00146-023-01649-6 · Cited by 46
Trust and AI weight: human-AI collaboration in organizational management decision-making
Wen, Y., Wang, J., & Chen, X. (2025) · Frontiers in Organizational Psychology · doi:10.3389/forgp.2025.1419403 · Cited by 57
Service robots for affective labor: a sociology of labor perspective
Dobrosovestnova, A., Hannibal, G., & Reinboth, T. (2021) · AI & Society · doi:10.1007/s00146-021-01208-x · Cited by 33
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions
Baumgartl, H., & Buettner, R. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.069 · Cited by 33
Trusting and Working with Robots: A Relational Demography Theory of Preference for Robotic over Human Co-Workers
You, S., & Robert, L. (2024) · MIS Quarterly · doi:10.25300/misq/2023/17403 · Cited by 36
Self-citation
Heterogeneous human–robot task allocation based on artificial trust
Ali, A., Azevedo-Sa, H., Tilbury, D. M., & Robert, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-19140-5 · Cited by 32
Human–Agent Team Dynamics: A Review and Future Research Opportunities
Iftikhar, R., Chiu, Y.-T., Khan, M. S., & Caudwell, C. B. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3331369 · Cited by 42
Insights into the relationship between usability and willingness to use a robot in the future workplaces: Studying the mediating role of trust and the moderating roles of age and STARA
Babamiri, M., Heidarimoghadam, R., Ghasemi, F., Tapak, L., & Mortezapour, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268942 · Cited by 30
Technological and Interpersonal Trust in Child-Robot Interaction
van Straten, C. L., Peter, J., Kühne, R., de Jong, C., & Barco, À. (2018) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3284432.3284440 · Cited by 28
Enhancement of perceived body ownership in virtual reality-based teleoperation may backfire in the execution of high-risk tasks
Shin, M., Lee, S., Song, S. W., & Chung, D. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106605 · Cited by 25
Working with Bounded Collaboration: A Qualitative Study on How Collaboration is Co-constructed around Collaborative Robots in Industry
Cheon, E., Schneiders, E., & Skov, M. B. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555094 · Cited by 26
Exploring the influence of service employees' characteristics on their willingness to work with service robots
Tu, Y., Liu, W., & Yang, Z. (2023) · Journal of service management · doi:10.1108/josm-05-2022-0174 · Cited by 28
Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study
Smoła, P., Młoźniak, I., Wojcieszko, M., Zwierczyk, U., Kobryn, M., Rzepecka, E., & Duplaga, M. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1458685 · Cited by 32
Power in Human-Robot Interaction
Hou, Y. T.-Y., Cheon, E., & Jung, M. F. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610977.3634949 · Cited by 27
A Review on Trust in Human-Robot InteractionPreprint
Khavas, Z. R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.10045 · Cited by 53
Employees’ attitudes towards intelligent robots: a dilemma analysis
Looy, A. V. (2022) · Information Systems and e-Business Management · doi:10.1007/s10257-022-00552-9 · Cited by 25
Practical, Ethical, and Overlooked: Teleoperated Socially Assistive Robots in the Quest for Autonomy
Elbeleidy, S., Mott, T., & Williams, T. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889573 · Cited by 21
Factors that influence robot acceptance
Xu, L., & Yu, F. (2019) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2019-0136 · Cited by 21
Matching digital companions with customers: The role of perceived similarity
Gelbrich, K., Kerath, A., & Chun, H. H. (2023) · Psychology and Marketing · doi:10.1002/mar.21893 · Cited by 24
Estimation of Subjectively Reported Trust, Mental Workload, and Situation Awareness Using Unobtrusive Measures
Kintz, J. R., Banerjee, N., Zhang, J. Y., Anderson, A. P., & Clark, T. (2022) · Hum. Factors · doi:10.1177/00187208221129371 · Cited by 21
Robots in Games
Rato, D., Correia, F., Pereira, A., & Prada, R. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00944-4 · Cited by 20
If machines outperform humans: status threat evoked by and willingness to interact with sophisticated machines in a work-related context*
Grundke, A. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2210688 · Cited by 20
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 20
"I think you are doing a bad job!"
van der Hoorn, D., Neerincx, A., & de Graaf, M. M. A. (2021) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3434073.3444681 · Cited by 23
Towards a Personality AI for Robots: Potential Colony Capacity of a Goal-Shaped Generative Personality Model When Used for Expressing Personalities via Non-Verbal Behaviour of Humanoid Robots
Luo, L., Ogawa, K., Peebles, G., & Ishiguro, H. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.728776 · Cited by 19
Human-Robot Teaming Configurations: A Study of Interpersonal Communication Perceptions and Affective Learning in Higher Education
Abendschein, B., Edwards, C. C., Edwards, A. P., Rijhwani, V., & Stahl, J. (2021) · Journal of Communication Pedagogy · doi:10.31446/jcp.2021.1.12 · Cited by 17
Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature
Ren, Y., & Clement, J. (2024) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3649884 · Cited by 18
Birds of a Feather Flock Together: But do Humans and Robots? A Meta-Analysis of Human and Robot Personality Matching
Esterwood, C. T., Essenmacher, K., Yang, H., Zeng, F., & Robert, L. (2021) · IEEE RO-MAN · doi:10.1109/ro-man50785.2021.9515394 · Cited by 16
A novel digital twins-driven mutual trust framework for human–robot collaborations
Li, J., Zhu, E., Lin, W., Yang, S. X., & Yang, S. L. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.04.009 · Cited by 17
A mini imitation game: How individuals model social robots via behavioral outcomes and social roles
Xu, K. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.101950 · Cited by 13
People’s Perceptions of Gendered Robots Performing Gender Stereotypical Tasks
Neuteboom, S. Y., & de Graaf, M. M. A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90525-5_3 · Cited by 12
Human Security Robot Interaction and Anthropomorphism: An Examination of Pepper, RAMSEE, and Knightscope Robots
Ye, X., & Robert, L. (2023) · IEEE RO-MAN · doi:10.1109/ro-man57019.2023.10309400 · Cited by 12
Cost Calculation and Deployment Strategies for Collaborative Robots in Production Lines: An Innovative and Sustainable Perspective in Knowledge-Based Organizations
Ţîțu, A. M., Gusan, V., Dragomir, M., Pop, A. B., & Țîțu, Ș. (2024) · Sustainability · doi:10.3390/su16135292 · Cited by 11
Motivational theory of human robot teamwork
Robert, L. (2018) · International Robotics & Automation Journal · doi:10.15406/iratj.2018.04.00131 · Cited by 11
Designing Man’s New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance
de Visser, E. J., Topoglu, Y., Joshi, S., Krüeger, F., Phillips, E. K., Gratch, J. S., Tossell, C. C., & Ayaz, H. (2022) · Sensors · doi:10.3390/s22031287 · Cited by 14
Human-Robot Teams: A Review
Wolf, F. D., & Stock, R. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-62056-1_21 · Cited by 11
From humans to AI: understanding why AI is perceived as the preferred co-creation partner
Liu, Y., Yang, Y., & Xu, H. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1695532 · Cited by 10
The privacy paradox in interactions with service robots in the workplace
Hannig, M., Stock, R., & Knof, M. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2024.2445135 · Cited by 10
Adding Intelligent Robots to Business Processes: A Dilemma Analysis of Employees’ Attitudes
Looy, A. V. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58666-9_25 · Cited by 10
Collaborating with Technology-Based Autonomous Agents: Issues and Research OpportunitiesPreprint
Seeber, I., Waizenegger, L., Seidel, S., Morana, S., Benbasat, I., & Lowry, P. B. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3504587 · Cited by 11
Team robot identification theory (TRIT): robot attractiveness and team identification on performance and viability in human–robot teams
You, S., & Robert, L. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-022-04645-7 · Cited by 9
Self-citation
Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy
Schrum, M., Neville, G., Johnson, M., Moorman, N. M., Paleja, R., Feigh, K. M., & Gombolay, M. (2021) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3434073.3444649 · Cited by 9
Your Robot is Watching: Using Surface Cues to Evaluate the Trustworthiness of Human Actions
Surendran, V., & Wagner, A. R. (2019) · IEEE RO-MAN · doi:10.1109/ro-man46459.2019.8956343 · Cited by 9
Would You be Willing to Share Knowledge with a Collaborative Robot? The Mediating Effect of Perceived Agency and the Moderating Effect of Identity Threat
Liao, S., Chen, K., Yao, Y., & Chen, Q. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2430911 · Cited by 8
HİZMET ROBOTU ENTEGRASYON İSTEKLİLİK (HREİ) ÖLÇEĞİ: TÜRKÇEYE UYARLAMA, GEÇERLİK VE GÜVENİRLİK ÇALIŞMASI
Özkan, A., Akkaya, B., & ÖZKAN, H. (2020) · Business And Management Studies An International Journal · doi:10.15295/bmij.v8i3.1591 · Cited by 9
Who's in Charge?
Lacroix, D., Wullenkord, R., & Eyssel, F. (2023) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3568294.3580152 · Cited by 12
Managing Robots in Healthcare
Bacaksız, F. E., Yılmaz, M., Ezizi, K., & Alan, H. (2020) · Sağlık ve Hemşirelik Yönetimi Dergisi · doi:10.5222/shyd.2020.59455 · Cited by 7
Interactive Vignettes: Enabling Large-Scale Interactive HRI Research
Lee, W.-Y., Sakashita, M., Ricci, A. E., Claure, H., Guimbretière, F. V., & Jung, M. F. (2021) · IEEE RO-MAN · doi:10.1109/ro-man50785.2021.9515376 · Cited by 7
Learning to Sequence Multiple Tasks with Competing Constraints
Duan, A., Camoriano, R., Ferigo, D., Huang, Y., Calandriello, D., Rosasco, L., & Pucci, D. (2019) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros40897.2019.8968496 · Cited by 7
A Validation of the Human-Generative Artificial Intelligence Trust Scale
Wang, P., Yin, K., Tian, M., Zheng, Y., Wu, H., Zhou, C. Q., Zhang, M., Ma, J., & Yuan, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2542881 · Cited by 7
The Impacts of Social Humanoid Robot’s Nonverbal Communication on Perceived Personality Traits
Chien, S.-Y. J., Chen, C.-L., & Chan, Y. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2295696 · Cited by 7
The Hidden Technological Labour of Service Workers in Health and Beauty Shops
Meissner, J. L., Pretterhofer, N., Bergmann, N., & Haselsteiner, E. (2022) · Annual Symposium on Human-Computer Interaction for Work (CHIWORK) · doi:10.1145/3533406.3533413 · Cited by 6
Personality in Healthcare Human Robot Interaction (H-HRI): A Literature Review and Brief CritiquePreprint
Esterwood, C. T., & Robert, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.06723 · Cited by 6
Evolution of Human–Robot Personality Similarity: A Historical Analysis from 1960 to 2019
Jiang, Z., & Xu, L. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2440641 · Cited by 5
Cobbler Stick With Your Reads: People's Perceptions of Gendered Robots Performing Gender Stereotypical TasksPreprint
Neuteboom, S. Y., & de Graaf, M. M. A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.06127 · Cited by 5
Alternative Group Technologies and Their Influence on Group Technology Acceptance
Ammari, T., You, S., & Robert, L. (2018) · American Journal of Information Systems · doi:10.12691/ajis-6-2-1 · Cited by 4
Self-citation
Affective and Cognitive Reactions to Robot-Initiated Social Control of Health Behaviors
Xu, J., Zhang, C., Cuijpers, R. H., & IJsselsteijn, W. A. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610977.3634962 · Cited by 4
Personality Traits and Willingness to Use a Robot: Extending Emic/Etic Personality Concept
Babamiri, M., Heidarimoghadam, R., Ghasemi, F., Tapak, L., & Mortezapour, A. (2024) · International Journal of Social Robotics · doi:10.1007/s12369-024-01129-x · Cited by 4
Performing a Task Alongside a Robot: Exploring the Impact of Social Comparison
Yaar, G., Oberlender, A., Saadon, N. H., Zuckerman, O., & Erel, H. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3651055 · Cited by 4
“I am wearing what my avatar is wearing”: the effect of avatar realism on mental simulation in the metaverse
Kim, D. Y., & Lee, H. K. (2025) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-04-2024-0116 · Cited by 4
User and Robot Personality Interactions in Parasocial Presence and Intention to Use Social Robots
Montalvo, F. L., Thai, P., Stephens, P., Jones, L., McConnell, D. S., & Smither, J. A.-A. (2022) · IEEE International Conference on Human-Machine Systems (ICHMS) · doi:10.1109/ichms56717.2022.9980632 · Cited by 3
You Got the Job! Understanding Hiring Decisions for Robots as Organizational Members
Heitlinger, L., Stock‐Homburg, R., & Wolf, F. D. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889444 · Cited by 3
Android Pretending to Have Similar Traits of Imagination as Humans Evokes Stronger Perceived Capacity to Feel
Tatsukawa, K., Takahashi, H., Yoshikawa, Y., & Ishiguro, H. (2019) · Frontiers in Robotics and AI · doi:10.3389/frobt.2019.00088 · Cited by 3
Partner or burden? The dual pathways linking perceived attributes of intelligent cockpits to human–machine collaboration willingness via cognitive load
Li, S. (2026) · BMC Psychology · doi:10.1186/s40359-026-04074-8 · Cited by 3
Concordance of Risk Tendency Increases User's Satisfaction
Kawagoe, A., & Ōsawa, H. (2020) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3406499.3415086 · Cited by 2
Emergence of Cooperative Impression With Self-Estimation, Thinking Time, and Concordance of Risk Sensitivity in Playing Hanabi
Ōsawa, H., Kawagoe, A., Sato, E., & Kato, T. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.658348 · Cited by 2
Group Composition as a Cause, a Consequence, and a Process: A Communication-centered Perspective
Yoon, K., & Kim, Y. J. (2021) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80043-500-120211022 · Cited by 2
Frontline Employees’ Attitude Toward Embodied Social Robots In Customer Service: An Integrative Framework And Empirical Test
Ernens, S., Delcourt, C., Dessart, L., & Baiwir, L. (2022) · Journal of Service Management Research · doi:10.5771/2511-8676-2022-4-262 · Cited by 1
The paradoxical leader, crafting human worker, and robot teammate: A commentary on the future of leader behaviors
Philip, J., & Wong, S. I. (2024) · Scandinavian Journal of Management · doi:10.1016/j.scaman.2024.101371 · Cited by 1
Trust Transfer in Robots between Task Environments
Law, T., Chita-Tegmark, M., & Scheutz, M. J. (2024) · International Symposium on Trustworthy Autonomous Systems (TAS) · doi:10.1145/3686038.3686061 · Cited by 1
The Roles of Fairness and Effectiveness in Promoting Legitimacy and Cooperation with Security Robotic Authority
Ye, X., & Robert, L. (2026) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3757279.3788657 · Cited by 1

Authors: You, S., & Robert Jr., L. P.
Affiliations: Syracuse University (US)
University of Michigan, Ann Arbot, MI, USA
ORCID: You, Sangseok
Venue: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
Publisher: ACM
Published: 2018-02-26
Pages: 251-260
DOI: 10.1145/3171221.3171281
OpenAlex: W2782247249
Cited by: 118
References: 69
Citations by year: 2026: 10 · 2025: 11 · 2024: 15 · 2023: 11 · 2022: 20 · 2021: 22 · 2020: 17 · 2019: 8 · 2018: 4
FWCI: 22.77
Type: conference paper
Language: en
Open access: green
hdl.handle.net
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
Deep Blue (University of Michigan) (submittedVersion)
SSRN Electronic Journal (submittedVersion)
Topics: Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Keywords: trust in robots, human-robot collaboration, human-robot interaction, robot design

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Human–robot similarity and willingness to work with a robotic co-worker

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks