Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play

D. Francois, K. Dautenhahn, D. Polani

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

    7 Citations (Scopus)
    32 Downloads (Pure)

    Abstract

    This paper presents an application of the Cascaded Information Bottleneck Method for real-time recognition of Human-Robot Interaction styles in robot-assisted play. This method, that we have developed, is implemented here for an adaptive robot that can recognize and adapt to children's play styles in real time. The robot rewards well-balanced interaction styles and encourages children to engage in the interaction. The potential impact of such an adaptive robot in robot-assisted play for children with autism is evaluated through a study conducted with seven children with autism in a school. A statistical analysis of the results shows the positive impact of such an adaptive robot on the children's play styles and on their engagement in the interaction with the robot.
    Original languageEnglish
    Title of host publicationProcs IEEE Symposium on Artificial Life
    Subtitle of host publicationALife '09
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages45-52
    ISBN (Print)978-1-4244-2763-5
    DOIs
    Publication statusPublished - 2009
    EventIEEE Symposium on Artificial Life 2009 - Nashville, United States
    Duration: 3 Mar 20092 Apr 2009

    Conference

    ConferenceIEEE Symposium on Artificial Life 2009
    Country/TerritoryUnited States
    CityNashville
    Period3/03/092/04/09

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