Abstract
Aesthetic preference is a complex puzzle with many subjective aspects. This subjectivity makes it incredibly difficult to computationally model aesthetic preference for an individual. Despite this complexity, individual aesthetic preference is an important part of life, impacting a multitude of aspects, including romantic and platonic relationships, decoration, product choices and artwork. Models of aesthetic preference form the basis of automated and semi-automated Evo-Art systems. These range from looking at individual aspects to more complex models considering multiple, different criteria. Effectively modelling aesthetic preference greatly increases the potential impact of these systems. This paper presents a flexible computational model of aesthetic preference, primarily focusing on generating 3D sculptures. Through demonstrating the model using several examples, it is shown that the model is flexible enough to identify and respond to individual aesthetic preferences, handling the subjectivity at the root of aesthetic preference and providing a good base for further extension to strengthen the ability of the system to model individual aesthetic preference.
Original language | English |
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Title of host publication | Artificial Intelligence in Music, Sound, Art and Design - 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Proceedings |
Editors | Colin Johnson, Sérgio M. Rebelo, Iria Santos |
Publisher | Springer |
Pages | 130-145 |
Number of pages | 16 |
ISBN (Print) | 9783031569913 |
DOIs | |
Publication status | Published - 29 Mar 2024 |
Event | 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2024 held as part of EvoStar 2024 - Aberystwyth, United Kingdom Duration: 3 Apr 2024 → 5 Apr 2024 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14633 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2024 held as part of EvoStar 2024 |
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Country/Territory | United Kingdom |
City | Aberystwyth |
Period | 3/04/24 → 5/04/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- 3D Art Generation
- Aesthetic judgement
- Aesthetic modelling