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When the robot criticizes you...: self-serving bias in human-robot interaction

Authors:

Sangseok You,

Jiaqi Nie,

Kiseul Suh,

S. Shyam SundarAuthors Info & Claims

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

Pages 295 - 296

https://doi.org/10.1145/1957656.1957778

Published: 06 March 2011 Publication History

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Abstract

This study explores how human users respond to feedback and evaluation from a robot. A between-subjects experiment was conducted using the Wizard of Oz method, with 63 participants randomly assigned to one of three evaluations (good evaluation vs. neutral evaluation vs. bad evaluation) following a training session. When participants attempted to reproduce the physical motion taught by the robot, they were given a verbal evaluation of their performance by the robot. They showed a strong negative response to the robot when it gave a bad evaluation, while showing positive attraction when it gave a good or neutral evaluation. Participants tended to dismiss criticism from the robot and attributed blame to the robot, while claiming credit to themselves when their performance was rated positively. These results have theoretical implications for the psychology of self-serving bias and practical implications for designing and deploying trainer robots as well as conducting user studies of such robots.

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Kelch YKluge AKunold LGrollman DBroadbent EJu WSoh HWilliams T(2024)Would you Trust a Robot that Distrusts you?Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640757(588-592)Online publication date: 11-Mar-2024
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Wu MLi ZYuen K(2024)Effect of Anthropomorphic Design and Hierarchical Status on Balancing Self-Serving Bias: Accounting for Education, Ethnicity, and ExperienceComputers in Human Behavior10.1016/j.chb.2024.108299(108299)Online publication date: May-2024
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When the robot criticizes you...: self-serving bias in human-robot interaction

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Information

Published In

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

March 2011

526 pages

ISBN:9781450305617

DOI:10.1145/1957656

General Chairs:
Aude Billard
EPFL, Switzerland
,
Peter Kahn
University of Washington, USA
,
Program Chairs:
Julie A. Adams
Vanderbilt University, USA
,
Greg Trafton
US Naval Research Laboratories, USA

In-Cooperation

RA: IEEE Robotics and Automation Society
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
The Association for the Advancement of Artificial Intelligence (AAAI)
IEEE Systems, Man and Cybernetics Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2011

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HRI'11: International Conference on Human-Robot Interaction

March 6 - 9, 2011

Lausanne, Switzerland

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Du TLi XJiang NXu YZhou Y(2025)Adaptive AI as Collaborator: Examining the Impact of an AI’s Adaptability and Social Role on Individual Professional Efficacy and Credit Attribution in Human–AI CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2462120(1-12)Online publication date: 24-Feb-2025
https://doi.org/10.1080/10447318.2025.2462120
Kelch YKluge AKunold LGrollman DBroadbent EJu WSoh HWilliams T(2024)Would you Trust a Robot that Distrusts you?Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640757(588-592)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640757
Wu MLi ZYuen K(2024)Effect of Anthropomorphic Design and Hierarchical Status on Balancing Self-Serving Bias: Accounting for Education, Ethnicity, and ExperienceComputers in Human Behavior10.1016/j.chb.2024.108299(108299)Online publication date: May-2024
https://doi.org/10.1016/j.chb.2024.108299
Chen NCao JHu X(2024)The Effects of Robot Managers’ Reward-Punishment Behaviours on Human–Robot Trust and Job PerformanceInternational Journal of Social Robotics10.1007/s12369-023-01091-016:3(529-545)Online publication date: 10-Jan-2024
https://doi.org/10.1007/s12369-023-01091-0
XIE BTAO DLI SREN X(2023)The effects of situational factors on human-robot interaction experienceJournal of Shenzhen University Science and Engineering10.3724/SP.J.1249.2023.0224440:2(244-252)Online publication date: 30-Mar-2023
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Huang HPatrick Rau P(2023)How to Provide Feedback? The Role of Robot’s Language and Feedback FrameworkInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2223946(1-17)Online publication date: 4-Jul-2023
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Na GChoi JKang H(2023)It’s Not My Fault, But I’m to Blame: The Effect of a Home Robot’s Attribution and Approach Movement on Trust and Emotion of UsersInternational Journal of Human–Computer Interaction10.1080/10447318.2023.220997740:15(4152-4166)Online publication date: 15-May-2023
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Kawai YMiyake TPark JShimaya JTakahashi HAsada M(2023)Anthropomorphism-based causal and responsibility attributions to robotsScientific Reports10.1038/s41598-023-39435-513:1Online publication date: 28-Jul-2023
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Hsiung CLeón GStinson DChiou E(2023)Blaming yourself, your partner, or an unexpected event: Attribution biases and trust in a physical coordination taskHuman Factors and Ergonomics in Manufacturing & Service Industries10.1002/hfm.2099833:5(379-394)Online publication date: 5-Jun-2023
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Integrating robot ethics and machine morality: the study and design of moral competence in robots

Perceiving emotions in robot body language

Blaming the Reluctant Robot: Parallel Blame Judgments for Robots in Moral Dilemmas across U.S. and Japan

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