Socially Aware Robotics: Designing Apologetic Gestures for Multi-Joint Manipulators

Service robots are now common in restaurant food delivery. However, machines aren’t always stable and may encounter errors, causing a loss of trust. Typically, when people make an error, they apologize and are forgiven. We were curious about how people react when a service robot makes an error and apologizes. Before checking trust in a participant, we aimed to check for manipulative behavior and investigate which motions are suitable for apologetic gesture such as bowing, using non-anthropomorphic robot. We conducted a web-based experiment with two-way ANOVA using a 2 x 5 (End-effector: Robot hand, Human hand; Motions: 5 different motions) within-participant design. Participants indicated a willingness to accept machine apologies, but we explored how trust could change. This study contributes insights into human-robot interactions, probing the acceptance of service robots in various roles and the impact of error and apology on trust.

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Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3690888
Primary Topic
Social Robot Interaction and HRI
Type
article
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article

Socially Aware Robotics: Designing Apologetic Gestures for Multi-Joint Manipulators

Nungduk Yun, Seiji Yamada
Social Robot Interaction and HRI
article

Socially Aware Robotics: Designing Apologetic Gestures for Multi-Joint Manipulators

Nungduk Yun, Seiji Yamada
article en

Abstract

Service robots are now common in restaurant food delivery. However, machines aren’t always stable and may encounter errors, causing a loss of trust. Typically, when people make an error, they apologize and are forgiven. We were curious about how people react when a service robot makes an error and apologizes. Before checking trust in a participant, we aimed to check for manipulative behavior and investigate which motions are suitable for apologetic gesture such as bowing, using non-anthropomorphic robot. We conducted a web-based experiment with two-way ANOVA using a 2 x 5 (End-effector: Robot hand, Human hand; Motions: 5 different motions) within-participant design. Participants indicated a willingness to accept machine apologies, but we explored how trust could change. This study contributes insights into human-robot interactions, probing the acceptance of service robots in various roles and the impact of error and apology on trust.

National Institute of Informatics (JP), The Graduate University for Advanced Studies, SOKENDAI (JP)
Reduced inequalities
Openalex Percentile: Top 73%
Social Robot Interaction and HRI
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