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

Diede van der Hoorn; Anouk Neerincx; Maartje de Graaf

doi:10.1145/3434073.3444681

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

Diede van der Hoorn, Anouk Neerincx, Maartje de Graaf

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	Association for Computing Machinery
Pages	140-148
Number of pages	9
ISBN (Electronic)	9781450382892
ISBN (Print)	9781450382892
DOIs	https://doi.org/10.1145/3434073.3444681
Publication status	Published - 8 Mar 2021

Keywords

Blame attribution
Communication strategies
Human-robot collaboration
Human-robot interaction
Trust

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10.1145/3434073.3444681

3434073.3444681Final published version, 4.38 MBLicence: Taverne

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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 (pp. 140-148). Article 3444681 Association for Computing Machinery . https://doi.org/10.1145/3434073.3444681

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

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",

author = "{van der Hoorn}, Diede and Anouk Neerincx and {de Graaf}, Maartje",

year = "2021",

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doi = "10.1145/3434073.3444681",

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"I think you are doing a bad job!": The Effect of Blame Attribution by a Robot in Human-Robot Collaboration. / van der Hoorn, Diede; Neerincx, Anouk ; de Graaf, Maartje.
HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery , 2021. p. 140-148 3444681.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

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Keywords

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