Recognizing behaviors and the internal state of the participants

Wesley Kerr, Paul Cohen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Abstract

    Psychological research has demonstrated that subjects shown animations consisting of nothing more than simple geometric shapes perceive the shapes as being alive, having goals and intentions, and even engaging in social activities such as chasing and evading one another. While the subjects could not directly perceive affective state, motor commands, or the beliefs and intentions of the actors in the animations, they still used intentional language to describe the moving shapes. We present representations and algorithms that enable an artificial agent to correctly recognize other agents' activities by observing their behavior. In addition, we demonstrate that if the artificial agent learns about the activities through participation, where it has access to its own internal affective state, motor commands, etc., it can then infer the unobservable internal state of other agents.

    Original languageEnglish (US)
    Title of host publication2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program
    Pages33-38
    Number of pages6
    DOIs
    StatePublished - 2010
    Event2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Ann Arbor, MI, United States
    Duration: Aug 18 2010Aug 21 2010

    Publication series

    Name2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program

    Other

    Other2010 IEEE 9th International Conference on Development and Learning, ICDL-2010
    Country/TerritoryUnited States
    CityAnn Arbor, MI
    Period8/18/108/21/10

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Software
    • Education

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