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Canvas Dance: An Interactive Dance Visualization for Large-Group Interaction
KTH. Université Paris -Sud XI Orsay, France; EIT ICT Labs, France.
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz). Georgia Institute of Technology.ORCID iD: 0000-0003-4616-189X
2015 (English)In: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, ACM Digital Library, 2015, 379-382 p.Conference paper (Refereed)Text
Abstract [en]

We present Canvas Dance, a prototype of an interactive dance visualization for large-group interaction that targets non-professional dancers in informal environments such as parties or nightclubs, and uses the smartphones of the dancers as the input device for the motion signal. The visualization is composed of individual representations for each dancer, and the visual mappings designed for their dance moves have three main goals: to help the users identify their own representation, to uncover and inspire imitation among dancers, and to support unpredictable dance moves.

Place, publisher, year, edition, pages
ACM Digital Library, 2015. 379-382 p.
, CHI EA ’15
Keyword [en]
interactive dance visualizations, large-group interaction
National Category
Performing Art Studies Computer Science
Research subject
Computer Science; Art, Technology and Design; Human-computer Interaction
URN: urn:nbn:se:kth:diva-184682DOI: 10.1145/2702613.2725453ScopusID: 2-s2.0-84954242023ISBN: 978-145033146-3OAI: diva2:916483
CHI EA '15 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - Interactivity

QC 20160408

Available from: 2016-04-03 Created: 2016-04-03 Last updated: 2016-04-08Bibliographically approved

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Griggio, Carla F.Romero, Mario
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ReferencesLink to record
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