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The influence of approach speed and functional noise on users' perception of a robot

Manja Lohse, Niels van Berkel, E.M.A.G. van Dijk, Michiel Joosse, Daphne Karreman, Vanessa Evers

Year
2013
Citations
26

Abstract

How a robot approaches a person greatly determines the interaction that follows. This is particularly relevant when the person has never interacted with the robot before. In human communication, we exchange a multitude of multimodal signals to communicate our intent while we approach others. However, most robots do not have the capabilities to produce such signals and easily communicate their intent. In this paper we propose to communicate intent when a robot approaches a person through functional noise and approach speed. Both were manipulated in a between-subjects experiment (N=40) either slowly increasing at the start of the approach and slowly decreasing when the robot reached the human or maximized at the start and abruptly stopped at the end of the approach. We analyzed questionnaires and video data from the interaction and found that particularly functional noise that in-/decreased in volume was helpful to communicate the robot's intent but only in congruence with an in-/decreasing velocity.

Keywords

RobotNoise (video)Human–robot interactionComputer sciencePerceptionHuman–computer interactionCommunication noiseArtificial intelligencePsychologyImage (mathematics)

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