A ROBOT BEHAVIOR DESIGN ON MODULATED INTENTION INDICATION IN SOCIAL ROBOTS
DS 136: Proceedings of the Asia Design and Innovation Conference (ADIC) 2024
Year: 2024
Editor: Yong Se Kim; Yutaka Nomaguchi; Chun-Hsien Chen; Xiangyang Xin; Linna Hu; Meng Wang
Author: Yang, Liheng; Sejima, Yoshihiro
Series: Other endorsed
Institution: Kansai University
Page(s): 064-071
Abstract
Humans attempt to discover similarity or mutual interest with others to build rapport relationship, which naturally requires social robots to have such mental states in human-robot interaction. A social robot expresses its internal state through specific behaviors. In this paper, we characterize the human interpretation of the robot’s behavioral motivation as the “perception of the robot’s intention”. The current designs of robots’ intention indication were used cues that are reasonable and natural to humans, leads to overly explicit and straightforward indication of intentions. However, in real social interaction scenarios, intentions are not always explicitly indicated, sometimes implicitly or even hidden. Focusing on such modulation in intention indication, this study proposed a behavior design for robots’ intention modulation by introducing the inconsistencies among eye-gaze, head, and body orientation. The study conducted a robot interaction experiment in the scenario of collaborating. The results indicated that inconsistency between the robot’s eye-gaze and the body orientation were perceived as modulated intention.
Keywords: Social robots, Robot intention, Modulated intention, Behavior design