Interactive tango milonga: Designing internal experience

Courtney Brown, Garth Paine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The Argentine tango concept of connection refers to the experience of complete synchronicity between self, partner, and music. This paper presents Interactive Tango Milonga, an interactive system giving tango dancers agency over music in order to increase this sense of relation between both partners and music. Like an improvising musician in an ensemble, each dancer receives musical feedback from both her movements and her partner's. Thus, each dancer can respond to the music, driving musical feedback, thereby heightening awareness and agency in both the sound and her partner's movements. Via presentation of this system, this paper illustrates methods for developing interactive systems engaging with distinct musical, movement, and social traditions as well for composing sound-movement relationships leading to specific internal experiences within these social contexts.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages17-20
Number of pages4
Volume14-15-August-2015
ISBN (Print)9781450334570
DOIs
Publication statusPublished - Aug 14 2015
Event2nd International Workshop on Movement and Computing, MOCO 2015 - Vancouver, Canada
Duration: Aug 14 2015Aug 15 2015

Other

Other2nd International Workshop on Movement and Computing, MOCO 2015
CountryCanada
CityVancouver
Period8/14/158/15/15

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Keywords

  • Argentine tango
  • Interactive dance
  • Mapping strategies
  • Motion capture
  • Social dance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Brown, C., & Paine, G. (2015). Interactive tango milonga: Designing internal experience. In ACM International Conference Proceeding Series (Vol. 14-15-August-2015, pp. 17-20). Association for Computing Machinery. https://doi.org/10.1145/2790994.2791013