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Matching robot appearance and behavior to tasks to improve human-robot cooperation

Jennifer L. Goetz, Sara Kiesler, Aaron Powers

Year
2004
Citations
775

Abstract

A robot's appearance and behavior provide cues to the robot's abilities and propensities. We hypothesize that an appropriate match between a robot's social cues and its task improve the people's acceptance of and cooperation with the robot. In an experiment, people systematically preferred robots for jobs when the robot's humanlikeness matched the sociability required in those jobs. In two other experiments, people complied more with a robot whose demeanor matched the seriousness of the task.

Keywords

RobotTask (project management)Social robotSeriousnessHuman–computer interactionComputer scienceMatching (statistics)Behavior-based roboticsPersonal robotArtificial intelligence

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