On-line behaviour classification and adaptation to human-robot interaction styles

Dorothée François, Daniel Polani, K. Dautenhahn

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

    16 Citations (Scopus)

    Abstract

    This paper presents a proof-of-concept of a robot that is adapting its behaviour on-line, during interactions with a human according to detected play styles. The study is part of the AuRoRa project which investigates how robots may be used to help children with autism overcome some of their impairments in social interactions. The paper motivates why adaptation is a very desirable feature of autonomous robots in human-robot interaction scenarios in general, and in autism therapy in particular. Two different play styles namely 'strong' and 'gentle', which refer to the user, are investigated experimentally. The model relies on Self-Organizing Maps, used as a classifier, and on Fast Fourier Transform to preprocess the sensor data. First experiments were carried out which discuss the performance of the model. Related work on adaptation in socially assistive and therapeutic work are surveyed. In future work, with typically developing and autistic children, the concrete choice of the robot's behaviours will be tailored towards the children's interests and abilities.

    Original languageEnglish
    Title of host publicationHRI 2007 - Proceedings of the 2007 ACM/IEEE Conference on Human-Robot Interaction - Robot as Team Member
    Pages295-302
    Number of pages8
    DOIs
    Publication statusPublished - 3 Sept 2007
    EventHRI 2007: 2007 ACM/IEEE Conference on Human-Robot Interaction - Robot as Team Member - Arlington, VA, United States
    Duration: 8 Mar 200711 Mar 2007

    Publication series

    NameHRI 2007 - Proceedings of the 2007 ACM/IEEE Conference on Human-Robot Interaction - Robot as Team Member

    Conference

    ConferenceHRI 2007: 2007 ACM/IEEE Conference on Human-Robot Interaction - Robot as Team Member
    Country/TerritoryUnited States
    CityArlington, VA
    Period8/03/0711/03/07

    Keywords

    • Adaptation in interaction
    • Behaviour classification
    • Interaction styles

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