"I think you are doing a bad job!": The Effect of Blame Attribution by a Robot in Human-Robot Collaboration

Publication date

2021-03-08

Authors

van der Hoorn, Diede
Neerincx, AnoukISNI 0000000507285325
de Graaf, MaartjeORCID 0000-0001-6152-552XISNI 0000000419575146

Editors

Advisors

Supervisors

Document Type

Part of book
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License

taverne

Abstract

Robots will increasingly collaborate with human partners necessitating research into how robots negotiate negative collaborative outcomes. This study investigates the effect of blame attribution on trust assessments in human-robot collaboration. Participants (n = 60) collaboratively played a game with a humanoid robot in one of four conditions in a 2 (blame correctness: correct vs. incorrect) by 2 (blame target: human vs. robot) between-subjects experiment. Results show that people evaluate a robot more positively when it blames itself for collaborative failures, especially, it seems, in the case of incorrect self-blame. Our findings indicate a need to further research on effective communication strategies for robots that need to negotiate collaborative failures without compromising the trust relationships with its human partner.

Keywords

Blame attribution, Communication strategies, Human-robot collaboration, Human-robot interaction, Trust, Taverne, Artificial Intelligence, Human-Computer Interaction, Electrical and Electronic Engineering

Citation

van der Hoorn, D, Neerincx, A & de Graaf, M 2021, "I think you are doing a bad job!" : The Effect of Blame Attribution by a Robot in Human-Robot Collaboration. in HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction., 3444681, Association for Computing Machinery, pp. 140-148. https://doi.org/10.1145/3434073.3444681