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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
10

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 interactionReachabilityAction (physics)Computer scienceSocial robotNatural (archaeology)GestureArtificial intelligence

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