We suggest that to enable effective human-robot interaction, robots should be able to interact in a way that is natural to and preferred by humans. Using human-compatible representations and reasoning mechanisms should help in developing skills which support effective human-robot interaction. In this paper, we present two studies that examine a critical human-robot-interaction component: perspective-taking. We find that when a person asks a robot to perform a task with some ambiguity to the robot, the person prefers the robot to either ask for clarification or take the person's perspective and act appropriately.


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    Title :

    Perspective-taking with Robots: Experiments and models


    Contributors:
    J. G. Trafton (author) / A. C. Schultz (author) / M. Bugajska (author) / F. Mintz (author)

    Publication date :

    2005


    Size :

    6 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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