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

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 t...

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Bibliographic Details
Published in2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 295 - 296
Main Authors Sangseok You, Jiaqi Nie, Kiseul Suh, Sundar, S. Shyam
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2011
Subjects
criticism
Educational institutions
human-robot interaction
Humans
Kinetic theory
Negative feedback
Psychology
Robots
self-serving bias
Training
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Summary: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.
ISBN:1467343935
9781467343930
ISSN:2167-2121
DOI:10.1145/1957656.1957778