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A Microsociological Approach to Understanding the Boundary Between Robot Cooperativeness and Uncooperativeness in Human-Robot Collaboration

N. Abe, David Rye, Lian Loke

Year
2022
Citations
2

Abstract

While existing approaches to human-robot collaboration typically focus on how to build robots that can work safely and fluently with humans on collaborative tasks, our research focuses on how people experience interaction with a robot and interpret its behaviour as cooperative or uncooperative. A microsociological theory was used to analyse the process of interaction as it unfolds, aiming to examine human perception of the cooperativeness and uncooperativeness of a robot and identify the boundary between them in the context of human-robot collaboration. Our hypothesis was that an unexpected robot movement during human-robot interaction will cause a negative perception of uncooperativeness. An experiment where the interaction was ‘disrupted’ by the robot’s movement during a collaborative task was conducted with 21 participants. Our findings, obtained through qualitative analysis based on semi-structured interviews and observations, show that the disruption leads certainly to a negative perception of the robot. The perception of robot cooperativeness or uncooperativeness, however, includes complex processes, and its boundary is not rigid, but flexible and nuanced.

Keywords

CooperativenessRobotPerceptionHuman–computer interactionContext (archaeology)Human–robot interactionComputer scienceArtificial intelligencePsychologyCognitive psychology

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