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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, Skolan för datavetenskap och kommunikation (CSC), High Performance Computing and Visualization (HPCViz). Georgia Institute of Technology.ORCID-id: 0000-0003-4616-189X
2015 (engelsk)Inngår i: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, ACM Digital Library, 2015, s. 379-382Konferansepaper, Publicerat paper (Fagfellevurdert)
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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.

sted, utgiver, år, opplag, sider
ACM Digital Library, 2015. s. 379-382
Serie
CHI EA ’15
Emneord [en]
interactive dance visualizations, large-group interaction
HSV kategori
Forskningsprogram
Datalogi; Konst, teknik och design; Människa-datorinteraktion
Identifikatorer
URN: urn:nbn:se:kth:diva-184682DOI: 10.1145/2702613.2725453Scopus ID: 2-s2.0-84954242023ISBN: 978-145033146-3 (tryckt)OAI: oai:DiVA.org:kth-184682DiVA, id: diva2:916483
Konferanse
CHI EA '15 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - Interactivity
Merknad

QC 20160408

Tilgjengelig fra: 2016-04-03 Laget: 2016-04-03 Sist oppdatert: 2024-03-15bibliografisk kontrollert

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Forlagets fulltekstScopushttp://doi.acm.org/10.1145/2702613.2725453

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Griggio, Carla F.Romero, Mario

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