Generative Aesthetics
Generative Aesthetics is an academic construct that denotes the systematic study and formalization of aesthetic principles and creative decision-making processes inherent in algorithmically generated video art, distinguishing it from general aesthetics by its focus on dynamic, rule-based, and autonomous systems that produce visual and temporal form.
26
Publications
1.1K
Citations
49
Authors
31
Institutions
Publications per year
2017–2026
12
Parents
26
Margaret A. Boden, Ernest Edmonds · Digital Creativity · 2009 · 210 citations
Generative Design: A Paradigm for Design Research.
Jon McCormack, Alan Dorin, Troy Innocent · Proceedings of DRS · 2004 · 120 citations · Full text
Architecture, Design, Creativity +10
Product Aesthetic Design: A Machine Learning Augmentation
Alex Burnap, John R. Hauser, Artem Timoshenko · Marketing Science · 2023 · 86 citations
Computing, Computer Science, Design +17
Ten Questions Concerning Generative Computer Art
Jon McCormack, Oliver Bown, Alan Dorin et al. · Leonardo · 2013 · 72 citations
Arts, Design, Computational Art +5
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31

Monash University
Melbourne, Australia
5 h-index
10 publications
650 citations

Zhejiang University
Hangzhou, China
2 h-index
4 publications
100 citations
University of Technology Sydney
Sydney, Australia
2 h-index
3 publications
460 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
3 publications
72 citations
IP Australia
Canberra, Australia
1 h-index
2 publications
144 citations
University of Bremen
Bremen, Germany
1 h-index
1 publications
16 citations
Tianjin University
Tianjin, China
1 h-index
1 publications
18 citations

Zhengzhou University
Zhengzhou, China
1 h-index
4 publications
160 citations
1–8 of 31
3 publications · 130 citations
3
h-index
2 publications · 269 citations
2
h-index
1 publications · 28 citations
2
h-index
1 publications · 86 citations
1
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1 publications · 20 citations
1
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1–5