Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection

Severi Uusitalo*, Anna Kantosalo, Antti Salovaara, Tapio Takala, Christian Guckelsberger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)
141 Downloads (Pure)

Abstract

Progress in AI has brought about new approaches for designing products via co-creative human–computer interaction. In architecture, interior design, and industrial design, computational methods such as evolutionary algorithms support the designer’s creative process by revealing populations of generated design solutions in a parametric design space. However, the benefits and shortcomings of such algorithms for designers are not yet fully understood. This paper reports the in-depth, in-situ and longitudinal experiences of one industrial designer using an interactive evolutionary algorithm in a non-trivial creative product design task. Our study sheds light on the intricate interaction between algorithm, human designer and their environment. It identifies, amongst others, the algorithm’s contributions to design inspiration and to overcoming fixation. We contribute concrete proposals for the future study of co-creative AI in design exploration and creative practice.
Original languageEnglish
Title of host publicationArtificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings
Subtitle of host publication11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings
EditorsTiago Martins, Nereida Rodríguez-Fernández, Sérgio M. Rebelo
PublisherSpringer
Pages292-307
ISBN (Electronic)978-3-031-03789-4
ISBN (Print)978-3-031-03788-7
DOIs
Publication statusPublished - 15 Apr 2022
MoE publication typeA4 Conference publication
EventInternational Conference on Artificial Intelligence in Music, Sound, Art and Design - Madrid, Spain
Duration: 20 Apr 202222 Apr 2022
Conference number: 11

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13221
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Artificial Intelligence in Music, Sound, Art and Design
Abbreviated titleEvoMUSART
Country/TerritorySpain
CityMadrid
Period20/04/202222/04/2022

Keywords

  • Co-creativity
  • interactive evolutionary algorithm
  • introspection
  • autoethnography
  • longitudinal study
  • design

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