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Natural Human-Robot Interaction Using Social Cues

Hugo Romat, Mary‐Anne Williams, Xun Wang, Benjamin Johnston, Henry Bard

发表年份
2016
引用次数
5

摘要

This paper investigates the problem of how humans understand and control human-robot collaborative action and how to build natural interactions during human-robot collaborative action. We use a "pick and place" experiment to study collaborative activities between a human and a robot. The results show that even if human participants had a good understanding of the maximum reachability of the robot, they consistently take a surprisingly long time to help and assist the robot when a target object is out of its reach. We implemented a number of social cues in the experiment, analysed their effects in order to identify the role they could play to improve the fluency of human-robot collaboration. The experimental results showed that when the robot uses head movements, two hands or a gesture to indicate non-reachability, people react in a more natural way to assist the robot.

关键词

RobotHuman–robot interactionHuman–computer interactionComputer scienceAction (physics)ReachabilitySocial robotNatural (archaeology)GestureArtificial intelligence

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