research-article

Exploring Audience Behaviour During Contemporary Dance Performances

Authors:

Lida Theodorou,

Patrick G. T. Healey,

Fabrizio SmeraldiAuthors Info & Claims

MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing

Article No.: 7, Pages 1 - 7

https://doi.org/10.1145/2948910.2948928

Published: 05 July 2016 Publication History

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Abstract

How can performers detect and potentially respond to the reactions of a live audience? Audience members' physical movements provide one possible source of information about their engagement with a performance. Using a case study of the dance performance "Frames" that took place in Theatre Royal in Glasgow during March 2015, we examine patterns of audience movement during contemporary dance performances and explore how they relate to the dancer's movements. Video recordings of performers and audience were analysed using computer vision and data analysis techniques extracting facial expression, hand gestural and body movement data. We found that during the performance audiences move very little and have predominantly expressionless faces while hand gestures seem to play a significant role in the way audiences respond. This suggests that stillness i.e. the absence of motion may be an indicator of engagement.

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Exploring Audience Behaviour During Contemporary Dance Performances

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MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing

July 2016

300 pages

ISBN:9781450343077

DOI:10.1145/2948910

Conference Chair:
Sotiris Manitsaris

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Macedonia
Aristotle University of Thessaloniki
Université Paris 8: Université Paris 8

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Published: 05 July 2016

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MOCO'16: 3rd International Symposium on Movement and Computing

July 5 - 6, 2016

GA, Thessaloniki, Greece

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Sparrow LGalwey CLoveridge BGlasser SOsborne MKelly R(2024)Heart and Soul: The Ethics of Biometric Capture in Immersive Artistic PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642309(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642309
Sarupuri BKulpa RAristidou AMulton F(2024)Dancing in virtual reality as an inclusive platform for social and physical fitness activities: a surveyThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03068-640:6(4055-4070)Online publication date: 1-Jun-2024
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Li XShen XKamiyama YHynds DHorie AWakisaka SMinamizawa K(2024)“It’s Like Being on Stage”: Staging an Improvisational Haptic-Installed Contemporary Dance PerformanceHaptics: Understanding Touch; Technology and Systems; Applications and Interaction10.1007/978-3-031-70058-3_41(507-518)Online publication date: 30-Jun-2024
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Exploring Audience Response in Performing Arts with a Brain-Adaptive Digital Performance System

Boiling Mind - A Dataset of Physiological Signals during an Exploratory Dance Performance

Three-Dimensional Visualization of Movement Qualities in Contemporary Dance

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Exploring Audience Response in Performing Arts with a Brain-Adaptive Digital Performance System

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Three-Dimensional Visualization of Movement Qualities in Contemporary Dance

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