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Connected layers: evaluating visualizations of embodiment in contemporary dance performances

Connected layers: evaluating visualizations of embodiment in contemporary dance performances

Do Nascimento Correia, Nuno ORCID: 0000-0002-9999-9162, Masu, Raul, Hoang Dieu Pham, An and Feitsch, Jochen (2021) Connected layers: evaluating visualizations of embodiment in contemporary dance performances. In: TEI '21: Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, pp. 1-12. ISBN 978-1450382137 (doi:https://doi.org/10.1145/3430524)

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Abstract

There has been a growing interest in interactive visuals in contemporary dance performances. These visuals often rely on embodied interaction techniques, such as motion capture or biosignal sensors. However, there is a lack of research into how audience members experience these interactive visuals, and how to enhance that experience. We conducted an audience study, involving four different dance performances. Each of the performances explored a different approach for interaction involving visuals. We collected data from audience members, regarding their experience of the performances, using questionnaires and interviews. The analysis of this data allows us to identify implications for design: balancing trade-offs within a mapping clarity spectrum; connecting layers; visuals as co-creative mediator; defined territory and individuality of visuals; exploration of perspective shift and abstract fragmentation. We argue that these considerations are relevant for designers of systems visualizing embodied interaction, not just for dance, but also for other related applications.

Item Type: Conference Proceedings
Title of Proceedings: TEI '21: Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction
Uncontrolled Keywords: audience study, interactive visuals, contemporary dance, performance arts, motion capture, biosignal sensors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Related URLs:
Last Modified: 02 Mar 2021 12:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30320

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