Too Close to You? A Study on Emotion-Adapted Proxemics Behaviours

Abstract

The development of social robots with advanced conversational capabilities aiming to engage humans in natural interactions has recently surged. This paper investigates the dynamic aspect of Human-Robot Interaction (HRI), focusing on the regulation of interpersonal distance based on human emotion. Through a user study with a humanoid robot, we explore how participants perceive and respond to rule-based versus randomly generated robot behaviours in adjusting inter-personal space during an unconstrained conversation. Results suggest that participants perceive the robot using rule-based behaviours as more socially competent and adaptable to human behaviour and emotions compared to the random ones. These findings highlight the importance of considering subtle non-verbal cues and adapting robot behaviour based on human emotions to improve the quality of HRI, and consequently facilitate the successful integration of human natural nuances in robots.