Proceedings: GI 2016

HappyFeet: Embodiments for Joint Remote Dancing

Hesam Alizadeh (University of Calgary), Anna Witcraft (University of Calgary), Anthony Tang (University of Calgary), Ehud Sharlin (University of Calgary)

Proceedings of Graphics Interface 2016: Victoria, British Columbia, Canada, 1-3 June 2016, 117-124

DOI 10.20380/GI2016.15

  • Bibtex

    @inproceedings{Alizadeh:2016:10.20380/GI2016.15,
    author = {Alizadeh, Hesam and Witcraft, Anna and Tang, Anthony and Sharlin, Ehud},
    title = {HappyFeet: Embodiments for Joint Remote Dancing},
    booktitle = {Proceedings of Graphics Interface 2016},
    series = {GI 2016},
    year = {2016},
    issn = {0713-5424},
    isbn = {978-0-9947868-1-4},
    location = {Victoria, British Columbia, Canada},
    pages = {117--124},
    numpages = {8},
    doi = {10.20380/GI2016.15},
    publisher = {Canadian Human-Computer Communications Society / Soci{\'e}t{\'e} canadienne du dialogue humain-machine},
    keywords = {Remote exercise, Visual embodiment, Visual Interaction.},
    }

Abstract

We present HappyFeet, a dancing system designed for supporting the dancing experience of remotely located dance partners. HappyFeet uses 3D representations of dancers’ feet in a shared virtual dance space to emphasize timing and placement of feet. It has two modes of operation: a learning mode where the user can dance with pre-recorded dance lessons, and a second mode where the system provides a shared dance floor for remotely located dancers. We evaluated our system in a laboratory study where we investigated the role of the feet embodiment by comparing its’ use to a video-only condition. The feet embodiment provided our participants with a better understanding of dance moves, helped them to synchronize timing of their dance steps, and provided them with a dance space in which they could freely create dance moves with their partners.