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人間ロボットインタラクションarXiv:2610.16334

ロボットのユーモアを交えた謝罪が信頼回復に与える影響の研究

Toward Study on the Effects of Robot's Humorous Apology on Human's Trust Recovery

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ロボットの謝罪戦略(一般的 vs ユーモア)とエラーの重大度がユーザーの信頼回復にどう影響するかを2x2被験者間実験で検討する。

著者: Gayoung Kim, Go-Eum Cha, Wonse Jo

分類: cs.RO

原文アブストラクト

Robot errors can disrupt human-robot collaboration by reducing user trust and willingness to rely on the robot. Robot apologies can support trust recovery after such errors, but their effects may vary with apology strategy and error severity. This study therefore presents a user experiment based on a 2x2 between-subjects factorial design to examine the effect of humorous robot apologies on user trust recovery and the moderating role of error severity. The design crosses robot error severity (low vs. high) with apology strategy (generic vs. humorous). An online experiment will be conducted using the open-source Warehouse Robot Interaction Simulator. Participants will complete a collaborative task, experience a robot error followed by an apology, and report trust, trust recovery, interaction experience and reuse intention. We hypothesize that humorous apologies will produce greater trust recovery than generic apologies after low-severity errors, but that the advantage of humor will weaken or reverse after high-severity errors.

関連論文

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