Human-computer Co-performance
Human-Computer Co-Performance is a performative framework in which human and computational agents dynamically and reciprocally generate artistic output in real time, distinguished from other performance models by its emphasis on mutual responsiveness, shared agency, and improvisational interdependence between the human and algorithmic processes within live coding and generative performance contexts.
28
Publications
1.3K
Citations
85
Authors
33
Institutions
Publications per year
2017–2026
11
28
Lenneke Kuijer, Elisa Giaccardi · 2018 · 99 citations · Full text
Arts, Computer Science, Design +15
Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence
Jon McCormack, Patrick Hutchings, Toby Gifford et al. · Organised Sound · 2020 · 89 citations
Computing, Computer Science, Design +17
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33
Georgia Institute of Technology
Atlanta, United States
2 h-index
16 publications
584 citations
Meta (United States)
Menlo Park, United States
2 h-index
4 publications
146 citations
Jiangxi University of Technology
Jiangxi, China
1 h-index
2 publications
64 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
29 citations

Aarhus University
Aarhus, Denmark
1 h-index
10 publications
140 citations
University of Copenhagen
Copenhagen, Denmark
1 h-index
3 publications
54 citations
Reichman University
Herzliya, Israel
1 h-index
1 publications
14 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
1 publications
99 citations
1–8 of 33
Repository · 2 publications · 59 citations
2
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1 publications · 29 citations
1
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1 publications · 28 citations
1
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1 publications · 103 citations
1
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1 publications · 178 citations
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