🤖 AI Summary
This study addresses the limited social understanding of human mobility exhibited by current robots in public spaces, which often disrupts established social order. Through on-site video observation and qualitative analysis, it examines the navigation challenges faced by cleaning robots in airport circulation areas, uncovering three critical shortcomings in human–robot interaction: neglect of human mutual orientation, group structure, and spatial functionality. Building on these insights, the work proposes a novel design paradigm—“socially aware mobility”—that reconceptualizes robotic movement as an interactive and collaborative behavior. This approach advances theoretical foundations for human–robot coexistence and provides a crucial basis for the design of socially intelligent robots capable of seamless integration into dynamic public environments.
📝 Abstract
The proliferation of robots in public spaces necessitates a deeper understanding of how these robots can interact with those they share the space with. In this paper, we present findings from video analysis of publicly deployed cleaning robots in a transit space, a major commercial airport, using their navigational'troubles'as a tool to document what robots currently lack in interactional competence. We demonstrate that these robots, while technically proficient, can disrupt the social order of a space due to their inability to understand core aspects of human movement: mutual adjustment to others, the significance of understanding social groups, and the purpose of different locations. In discussion we argue for exploring a new design space of movement: socially-aware movement. By developing"strong concepts"that treat movement as an interactional and collaborative accomplishment, we can create systems that better integrate into the everyday rhythms of public life.