Evolved aesthetic analogies to improve artistic experience

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

2 Citations (Scopus)

Abstract

It has been demonstrated that computational evolution can be utilised in the creation of aesthetic analogies between two artistic domains by the use of mapping expressions. When given an artistic input these mapping expressions can be used to guide the generation of content in a separate domain. For example, a piece of music can be used to create an analogous visual display. In this paper we examine the implementation and performance of such a system. We explore the practical implementation of real-time evaluation of evolved mapping expressions, possible musical input and visual output approaches, and the challenges faced therein. We also present the results of an exploratory study testing the hypothesis that an evolved mapping expression between the measurable attributes of musical and visual harmony will produce an improved aesthetic experience compared to a random mapping expression. Expressions of various fitness values were used and the participants were surveyed on their enjoyment, interest, and fatigue. The results of this study indicate that further work is necessary to produce a strong aesthetic response. Finally, we present possible approaches to improve the performance and artistic merit of the system.

Original languageEnglish
Title of host publicationComputational Intelligence in Music, Sound, Art and Design - 6th International Conference, EvoMUSART 2017, Proceedings
EditorsAntonios Liapis, Joao Correia, Vic Ciesielski
PublisherSpringer-Verlag
Pages65-80
Number of pages16
ISBN (Print)9783319557496
DOIs
Publication statusPublished - 2017
Event6th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMUSART 2017 - Amsterdam, Netherlands
Duration: 19 Apr 201721 Apr 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10198 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMUSART 2017
Country/TerritoryNetherlands
City Amsterdam
Period19/04/1721/04/17

Keywords

  • Aesthetic analogy
  • Computational evolution
  • Genetic Programming
  • Genetic algorithms
  • Grammatical evolution computational analogy

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