Influencing Incidental Human-Robot Encounters: Expressive movement improves pedestrians' impressions of a quadruped service robot

Autor:	Hauser, Elliott, Chan, Yao-Cheng, Bhalani, Ruchi, Kuchimanchi, Alekhya, Siddiqui, Hanaa, Hart, Justin
Rok vydání:	2023
Předmět:	Computer Science - Robotics Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	A single mobile service robot may generate hundreds of encounters with pedestrians, yet there is little published data on the factors influencing these incidental human-robot encounters. We report the results of a between-subjects experiment (n=222) testing the impact of robot body language, defined as non-functional modifications to robot movement, upon incidental pedestrian encounters with a quadruped service robot in a real-world setting. We find that canine-inspired body language had a positive influence on participants' perceptions of the robot compared to the robot's stock movement. This effect was visible across all questions of a questionnaire on the perceptions of robots (Godspeed). We argue that body language is a promising and practical design space for improving pedestrian encounters with service robots. Comment: Accepted HICSS 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2311.04454 Zobrazit plný text záznamu View this record from Arxiv