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Cooperative gestures: Effective signaling for humanoid robots

Laurel D. Riek, Tal-Chen Rabinowitch, Paul Bremner, Tony Pipe, Mike Fraser, Peter Robinson

Year
2010
Citations
48

Abstract

Cooperative gestures are a key aspect of humanhuman pro-social interaction. Thus, it is reasonable to expect that endowing humanoid robots with the ability to use such gestures when interacting with humans would be useful. However, while people are used to responding to such gestures expressed by other humans, it is unclear how they might react to a robot making them. To explore this topic, we conducted a within-subjects, video-based laboratory experiment, measuring time to cooperate with a humanoid robot making interactional gestures. We manipulated the gesture type (beckon, give, shake hands), the gesture style (smooth, abrupt), and the gesture orientation (front, side). We also employed two measures of individual differences: negative attitudes toward robots (NARS) and human gesture decoding ability (DANVA2-POS). Our results show that people cooperate with abrupt gestures more quickly than smooth ones and front-oriented gestures more quickly than those made to the side, people's speed at decoding robot gestures is correlated with their ability to decode human gestures, and negative attitudes toward robots is strongly correlated with a decreased ability in decoding human gestures.

Keywords

GestureHumanoid robotRobotComputer scienceDecoding methodsHuman–robot interactionHuman–computer interactionCommunicationComputer visionArtificial intelligence

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