Adaptive emotional expression in robot-child interaction

Myrthe Tielman, Mark A. Neerincx, John-Jules Ch. Meyer, Rosemarijn Looije

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    Expressive behaviour is a vital aspect of human interaction.
    A model for adaptive emotion expression was developed for
    the Nao robot. The robot has an internal arousal and va-
    lence value, which are in
    uenced by the emotional state of its
    interaction partner and emotional occurrences such as win-
    ning a game. It expresses these emotions through its voice,
    posture, whole body poses, eye colour and gestures. An ex-
    periment with 18 children (mean age 9) and two Nao robots
    was conducted to study the in
    uence of adaptive emotion
    expression on the interaction behaviour and opinions of chil-
    dren. In a within-subjects design the children played a quiz
    with both an aective robot using the model for adaptive
    emotion expression and a non-aective robot without this
    model. The aective robot reacted to the emotions of the
    child using the implementation of the model, the emotions of
    the child were interpreted by aWizard of Oz. The dependent
    variables, namely the behaviour and opinions of the children,
    were measured through video analysis and questionnaires.
    The results show that children react more expressively and
    more positively to a robot which adaptively expresses itself
    than to a robot which does not. The feedback of the children
    in the questionnaires further suggests that showing emotion
    through movement is considered a very positive trait for a
    robot. From their positive reactions we can conclude that
    children enjoy interacting with a robot which adaptively ex-
    presses itself through emotion and gesture more than with
    a robot which does not do this.
    Original languageEnglish
    Title of host publicationHRI 2014 : proceedings of the 2014 ACM/IEEE international conference on human-robot interaction, Bielefeld, Germany, 03-06.03.2014
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Pages407-414
    Number of pages8
    ISBN (Print)978-1-4503-2658-2
    DOIs
    Publication statusPublished - 2014

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