Tutorial on Movement Notation: An Interdisciplinary Methodology for HRI to Reveal the Bodily Expression of Human Counterparts via Collecting Annotations from Dancers in a Shared Data Repository

Amy LaViers, Cat Maguire, James Z. Wang 0001, Rachelle Tsachor. Tutorial on Movement Notation: An Interdisciplinary Methodology for HRI to Reveal the Bodily Expression of Human Counterparts via Collecting Annotations from Dancers in a Shared Data Repository. In Dan Grollman, Elizabeth Broadbent, Wendy Ju, Harold Soh, Tom Williams 0001, editors, Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024. pages 1332-1334, ACM, 2024. [doi]

@inproceedings{LaViersM0T24,
  title = {Tutorial on Movement Notation: An Interdisciplinary Methodology for HRI to Reveal the Bodily Expression of Human Counterparts via Collecting Annotations from Dancers in a Shared Data Repository},
  author = {Amy LaViers and Cat Maguire and James Z. Wang 0001 and Rachelle Tsachor},
  year = {2024},
  doi = {10.1145/3610978.3638169},
  url = {https://doi.org/10.1145/3610978.3638169},
  researchr = {https://researchr.org/publication/LaViersM0T24},
  cites = {0},
  citedby = {0},
  pages = {1332-1334},
  booktitle = {Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024},
  editor = {Dan Grollman and Elizabeth Broadbent and Wendy Ju and Harold Soh and Tom Williams 0001},
  publisher = {ACM},
}