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Investigating the effects of visual saliency on deictic gesture production by a humanoid robot

Aaron St. Clair, Ross Mead, Maja J. Matarić

Year
2011
Citations
28

Abstract

In many collocated human-robot interaction scenarios, robots are required to accurately and unambiguously indicate an object or point of interest in the environment. Realistic, cluttered environments containing many visually salient targets can present a challenge for the observer of such pointing behavior. In this paper, we describe an experiment and results detailing the effects of visual saliency and pointing modality on human perceptual accuracy of a robot's deictic gestures (head and arm pointing) and compare the results to the perception of human pointing.

Keywords

GestureDeixisComputer scienceArtificial intelligenceHuman–robot interactionComputer visionSalientHumanoid robotRobotPerception

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