HappyFeet: Embodiments for Joint Remote Dancing

Hesam Alizadeh, Anna Witcraft, Ehud Sharlin, and Anthony Tang. (2016). HappyFeet: Embodiments for Joint Remote Dancing. In GI ’16: Proceedings of the 2016 Graphics Interface Conference, 117–124. Acceptance: 13/33 - 39%.


We present HappyFeet, a dancing system designed for supporting dancing experience between remotely located dance partners. HappyFeet uses 3D representation 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.


PDF File (http://hcitang.org/papers/2016-gi2016-happyfeet.pdf)
URL (http://graphicsinterface.org/proceedings/gi2016/gi2016-15/)
Video (http://hcitang.org/papers/2016-gi2016-happyfeet.mp4)
DOI (10.20380/GI2016.15)


  author = {Alizadeh, Hesam and Witcraft, Anna and Sharlin, Ehud and Tang, Anthony},
  booktitle = {GI '16: Proceedings of the 2016 Graphics Interface Conference},
  title = {HappyFeet: Embodiments for Joint Remote Dancing},
  type = {conference},
  pdfurl = {http://hcitang.org/papers/2016-gi2016-happyfeet.pdf},
  videourl = {http://hcitang.org/papers/2016-gi2016-happyfeet.mp4},
  url = {http://graphicsinterface.org/proceedings/gi2016/gi2016-15/},
  doi = {10.20380/GI2016.15},
  year = {2016},
  pages = {117--124},
  acceptance = {13/33 - 39%}