责备
正确性
机器人
谈判
归属
计算机科学
人机交互
心理学
仿人机器人
社会心理学
监督人
人机交互
人工智能
政治学
管理
经济
法学
程序设计语言
作者
Diede P.M. Van der Hoorn,Anouk Neerincx,Maartje M.A. de Graaf
标识
DOI:10.1145/3434073.3444681
摘要
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.
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