GROUPTHINK

Author:

Hossaini Ali1,Gingrich Oliver2,Rahman Shama3,Grierson Mick4,Murr Joshua4,Chamberlain Alan5,Renaud Alain6

Affiliation:

1. Department of Engineering, King's College London, United Kingdom

2. University of Roehampton, London, United Kingdom

3. Hasso-Plattner-Institute, Germany

4. Creative Computing Institute, University of the Arts London, United Kingdom

5. University of Nottingham, United Kingdom

6. MintLab, Switzerland

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.

Funder

Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cell Space: Augmented Awareness of Intercorporeality;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2024-07-19

2. Heart and Soul: The Ethics of Biometric Capture in Immersive Artistic Performance;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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