Rhythmic reference of a human while a rope turning task

Kenta Yonekura, Chyon Hae Kim, Kazuhiro Nakadai, Hiroshi Tsujino, Shigeki Sugano

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

    1 Citation (Scopus)

    Abstract

    This paper addresses the rhythmic reference in physical humanrobot interaction. Human refers to a rhythm from multiple sensing modalities when turning a rope with another human synchronously. This study verifies a hypothesis that some humans mix several rhythms of the modalities into a rhythm (rhythmic reference). Six participants, four males and two females, 21-23 years old, took part in eight experiments which examined the hypothesis. In each experiment, we masked the perception of each participant using eight combination of three kinds of masks, an eye-mask, headphones, and a force mask. Each participant interacted with an operator that turned a rope with a constant frequency. As a result of the experiments, a participant increased the controlling error as the number of masks was increased regardless the types of masked modalities. The result strongly supported our hypothesis.

    Original languageEnglish
    Title of host publicationHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction
    Pages289-290
    Number of pages2
    DOIs
    Publication statusPublished - 2011
    Event6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011 - Lausanne
    Duration: 2011 Mar 62011 Mar 9

    Other

    Other6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011
    CityLausanne
    Period11/3/611/3/9

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    Keywords

    • Education
    • Entertainment robots
    • Robots for/with children

    ASJC Scopus subject areas

    • Human-Computer Interaction

    Cite this

    Yonekura, K., Kim, C. H., Nakadai, K., Tsujino, H., & Sugano, S. (2011). Rhythmic reference of a human while a rope turning task. In HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction (pp. 289-290) https://doi.org/10.1145/1957656.1957775