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GROUPTHINK: Telepresence and Agency During Live Performance

Hossaini, Ali; Gingrich, Oliver; Rahman, Shama; Grierson, Mick; Murr, Joshua; Chamberlain, Alan; Renaud, Alain

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Authors

Ali Hossaini

Oliver Gingrich

Shama Rahman

Mick Grierson

Joshua Murr

Alain Renaud



Abstract

Live performers often describe "playing to the audience"as shifts in emphasis, timing and even content according to perceived audience reactions. Traditional staging allows the transmission of physiological signals through the audience's eyes, skin, odor, breathing, vocalizations and motions such as dancing, stamping and clapping, some of which are audible. The Internet and other mass media broaden access to live performance, but they efface traditional channels for "liveness,"which we specify as physiological feedback loops that bind performers and audience through shared agency. During online events, contemporary performers enjoy text and icon-based feedback, but current technology limits expression of physiological reactions by remote audiences. Looking to a future Internet of Neurons where humans and AI co-create via neurophysiological interfaces, this paper examines the possibility of reestablishing audience agency during live performance by using hemodynamic sensors while exploring the potential of AI as a creative collaborator.

Citation

Hossaini, A., Gingrich, O., Rahman, S., Grierson, M., Murr, J., Chamberlain, A., & Renaud, A. (2022). GROUPTHINK: Telepresence and Agency During Live Performance. Proceedings of the ACM on computer graphics and interactive techniques, 5(4), 1-10. https://doi.org/10.1145/3533610

Journal Article Type Article
Acceptance Date Mar 29, 2022
Online Publication Date Sep 7, 2022
Publication Date Sep 7, 2022
Deposit Date Sep 9, 2022
Publicly Available Date Sep 9, 2022
Journal Proceedings of the ACM on Computer Graphics and Interactive Techniques
Print ISSN 2577-6193
Electronic ISSN 2577-6193
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 5
Issue 4
Pages 1-10
DOI https://doi.org/10.1145/3533610
Keywords Computer Graphics and Computer-Aided Design, Computer Science Applications
Public URL https://nottingham-repository.worktribe.com/output/10919106
Publisher URL https://dl.acm.org/doi/10.1145/3533610

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