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An empirical framework for human-robot proxemics

Michael L. Walters, Kerstin Dautenhahn, René te Boekhorst, Kheng Lee Koay, Dag Sverre Syrdal, Chrystopher L. Nehaniv

Year
2009
Citations
129

Abstract

An empirical framework for Human-Robot (HR) proxemics is proposed which shows how the measurement and control of interpersonal distances between a human and a robot can be potentially used by the robot to interpret, predict and manipulate proxemic behaviour for Human-Robot Interactions (HRIs). The proxemic framework provides for incorporation of inter-factor effects, and can be extended to incorporate new factors, updated values and results. The framework is critically discussed and future work proposed.

Keywords

ProxemicsRobotEuropean commissionHuman–robot interactionHuman–computer interactionArtificial intelligenceComputer scienceWork (physics)Computer visionEngineering

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