Child, Robot and Educational Material: A Triadic Interaction

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    Abstract

    The process in which a child and a robot work together to solve a learning task can be characterised as a triadic interaction. Interactions between the child and robot; the child and learning materials; and the robot and learning materials will each shape the perception and appreciation the child has of himself or herself, of the robot, and of the learning task. This paper discusses several experiments aimed at uncovering some of the dependencies inherent in this model of triadic interaction, and suggests steps towards developing more accurate measurement tools.
    Original languageEnglish
    Title of host publicationHRI'16
    Subtitle of host publicationThe Eleventh ACM/IEEE International Conference on Human Robot Interaction
    Place of PublicationNew York
    PublisherIEEE
    Pages607-608
    Number of pages2
    ISBN (Electronic)978-1-4673-8369-1
    ISBN (Print)978-1-4673-8370-7
    DOIs
    Publication statusPublished - Mar 2016
    Event11th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
    Duration: 7 Mar 201610 Mar 2016
    Conference number: 11

    Publication series

    NameACM/IEEE International Conference on Human-Robot Interaction
    PublisherIEEE
    ISSN (Print)2167-2148

    Conference

    Conference11th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
    Abbreviated titleHRI
    CountryNew Zealand
    CityChristchurch
    Period7/03/1610/03/16

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    Keywords

    • learning task
    • earning task
    • educational child-robot interaction
    • educational material
    • METIS-320918
    • EC Grant Agreement nr.: FP7/611971
    • EWI-27530
    • IR-102979
    • triadic interaction

    Cite this

    Davison, D. P. (2016). Child, Robot and Educational Material: A Triadic Interaction. In HRI'16: The Eleventh ACM/IEEE International Conference on Human Robot Interaction (pp. 607-608). (ACM/IEEE International Conference on Human-Robot Interaction). New York: IEEE. https://doi.org/10.1109/HRI.2016.7451879