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Generating Familiarity by Robot Behavior toward a Human Being.

Toru Nakata, Tomomasa Sato, Taketoshi Mori, Hiroshi Mizoguchi

Year
1997
Citations
16
Access
Open access

Abstract

A new method to generate familiar behavior of a robot is proposed and verified. Familiar behavior of a robot is important under human-robot symbiosis in order to make a user feel comfortable and to avoid putting stress on a user. The method described is based upon a hypothesis that passive reactions produce familiar and comfortable impression in human beings. The results of psychological experiments verifies the validity of the method. A stuffed robot is made for the experiments. Impressions produced by the behaviors of the robot are analyzed quantitatively using the semantic differential method. Utilizing the robot behavior for generation familiarity will facilitate human-robot symbiosis.

Keywords

RobotHuman–computer interactionBehavior-based roboticsComputer scienceImpressionSocial robotArtificial intelligenceHuman–robot interactionSemantic differentialRobot control

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