Understanding Dynamic Human-Robot Proxemics in the Case of Four-Legged Canine-Inspired Robots

Autor: Xu, Xiangmin, Li, Emma Liying, Khamis, Mohamed, Zhao, Guodong, Bretin, Robin
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: Recently, quadruped robots have been well developed with potential applications in different areas, such as care homes, hospitals, and other social areas. To ensure their integration in such social contexts, it is essential to understand people's proxemic preferences around such robots. In this paper, we designed a human-quadruped-robot interaction study (N = 32) to investigate the effect of 1) different facing orientations and 2) the gaze of a moving robot on human proxemic distance. Our work covers both static and dynamic interaction scenarios. We found a statistically significant effect of both the robot's facing direction and its gaze on preferred personal distances. The distances humans established towards certain robot behavioral modes reflect their attitudes, thereby guiding the design of future autonomous robots.
Databáze: arXiv