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Effects of Robot Bowing during Apology on Trust Repair

Akihiro Maehigashi, Kenta Kubo, Yun Nungduk, Seiji Yamada

Year
2025
Citations
2

Abstract

This study investigates the role of robot bowing in trust repair, focusing on how human-like movement impacts trust in human-robot interaction. We manipulated the movement quality across four conditions: human-like, constant-speed, abrupt, and no-movement. Specifically for the human-like movement, we analyzed the Japanese hospitality (called “omotenashi”) gesture, which expresses attentiveness and respect to others and was translated into robot bowing movement. The experimental results indicated that human-like movement did not significantly affect trust repair, while constant-speed and abrupt movements showed improvements in subjective trust. The study highlighted the need for movement designs with considerations of the robot's appearance to facilitate effective trust repair.

Keywords

BowingRobotComputer sciencePsychologyHuman–computer interactionArtificial intelligenceCommunication

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