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

Sangseok You, Jiaqi Nie, Kiseul Suh, S. Shyam Sundar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction
Pages295-296
Number of pages2
DOIs
StatePublished - 2011
Event6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011 - Lausanne, Switzerland
Duration: Mar 6 2011Mar 9 2011

Publication series

NameHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction

Other

Other6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011
Country/TerritorySwitzerland
CityLausanne
Period3/6/113/9/11

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

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