A Simple Nod of the Head: The Effect of Minimal Robot Movements on Children's Perception of a Low-Anthropomorphic Robot

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    Abstract

    In this note, we present minimal robot movements for robotic technology for children. Two types of minimal gaze movements were designed: social-gaze movements to communicate social engagement and deictic-gaze movements to communicate task-related referential information. In a two (social-gaze movements vs. none) by two (deictic-gaze movements vs. none) video-based study (n=72), we found that social-gaze movements significantly increased children's perception of animacy and likeability of the robot. Deictic-gaze and social-gaze movements significantly increased children's perception of helpfulness. Our findings show the compelling communicative power of social-gaze movements, and to a lesser extent deictic-gaze movements, and have implications for designers who want to achieve animacy, likeability and helpfulness with simple and easily implementable minimal robot movements. Our work contributes to human-robot interaction research and design by providing a first indication of the potential of minimal robot movements to communicate social engagement and helpful referential information to children.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    PublisherAssociation for Computing Machinery (ACM)
    Pages336-341
    Number of pages6
    ISBN (Print)978-1-4503-4655-9
    DOIs
    Publication statusPublished - May 2017
    Event2017 CHI Conference on Human Factors in Computing Systems, CHI 2017: Explore, Innovate, Inspire - Colorado Convention Center, Denver, United States
    Duration: 6 May 201711 May 2017
    https://chi2017.acm.org/

    Conference

    Conference2017 CHI Conference on Human Factors in Computing Systems, CHI 2017
    Abbreviated titleCHI 2017
    CountryUnited States
    CityDenver
    Period6/05/1711/05/17
    Internet address

    Keywords

    • Children
    • Human-robot interaction design
    • Non-anthropomorphic robot
    • Nonverbal communication
    • Robot behaviors

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