Robot choreography: Performance paradigms for experimental HRI setups

Elizabeth Jochum, Damith HERATH

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    We propose a robust framework for combining performance paradigms with human robot interaction (HRI) research. Following an analysis of several case studies that combine the performing arts with HRI experiments, we propose a methodology and “best practices” for implementing choreography and other performance paradigms in HRI experiments. Case studies include experiments conducted in laboratory settings, “in the wild”, and live performance settings. We consider the technical and artistic challenges of designing and staging robots alongside humans in these various settings, and discuss how to combine tools and methods from human computer interaction (HCI) research with established HRI metrics and benchmarks to evaluate these interactions.
    Original languageEnglish
    Title of host publicationWhat Social Robots Can and Should Do - Proceedings of Robophilosophy 2016/TRANSOR 2016
    PublisherIOS Press
    Pages86-88
    Number of pages3
    Volume290
    ISBN (Electronic)9781614997078
    DOIs
    Publication statusPublished - 2016
    EventCFP Robophilosophy 2016/Research Network for Transdisciplinary Studies in Social Robotics, TRANSOR 2016 - Aarhus, Denmark
    Duration: 17 Oct 201621 Oct 2016

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    Volume290
    ISSN (Print)09226389

    Conference

    ConferenceCFP Robophilosophy 2016/Research Network for Transdisciplinary Studies in Social Robotics, TRANSOR 2016
    CountryDenmark
    CityAarhus
    Period17/10/1621/10/16

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    Cite this

    Jochum, E., & HERATH, D. (2016). Robot choreography: Performance paradigms for experimental HRI setups. In What Social Robots Can and Should Do - Proceedings of Robophilosophy 2016/TRANSOR 2016 (Vol. 290, pp. 86-88). (Frontiers in Artificial Intelligence and Applications; Vol. 290). IOS Press. https://doi.org/10.3233/978-1-61499-708-5-86