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

Severi Uusitalo; Anna Kantosalo; Antti Salovaara; Tapio Takala; Christian Guckelsberger

doi:10.1007/978-3-031-03789-4_19

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 proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

160 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 language	English
Title of host publication	Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings
Subtitle of host publication	11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings
Editors	Tiago Martins, Nereida Rodríguez-Fernández, Sérgio M. Rebelo
Publisher	Springer
Pages	292-307
ISBN (Electronic)	978-3-031-03789-4
ISBN (Print)	978-3-031-03788-7
DOIs	https://doi.org/10.1007/978-3-031-03789-4_19
Publication status	Published - 15 Apr 2022
MoE publication type	A4 Conference publication
Event	International Conference on Artificial Intelligence in Music, Sound, Art and Design - Madrid, Spain Duration: 20 Apr 2022 → 22 Apr 2022 Conference number: 11

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13221
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Artificial Intelligence in Music, Sound, Art and Design
Abbreviated title	EvoMUSART
Country/Territory	Spain
City	Madrid
Period	20/04/2022 → 22/04/2022

Keywords

Co-creativity
interactive evolutionary algorithm
introspection
autoethnography
longitudinal study
design

Access to Document

10.1007/978-3-031-03789-4_19

SCI_Guckelsberger_Co-creative Product Design with Interactive Evolutionary Algorithms_A Practice-Based ReflectionSubmitted manuscript, 1.22 MB

Cite this

Uusitalo, S., Kantosalo, A., Salovaara, A., Takala, T., & Guckelsberger, C. (2022). Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection. In T. Martins, N. Rodríguez-Fernández, & S. M. Rebelo (Eds.), Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings (pp. 292-307). (Lecture Notes in Computer Science; Vol. 13221). Springer. https://doi.org/10.1007/978-3-031-03789-4_19

Uusitalo, Severi ; Kantosalo, Anna ; Salovaara, Antti et al. / Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection. Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. editor / Tiago Martins ; Nereida Rodríguez-Fernández ; Sérgio M. Rebelo. Springer, 2022. pp. 292-307 (Lecture Notes in Computer Science).

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title = "Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection",

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{\textquoteright}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{\textquoteright}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.",

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author = "Severi Uusitalo and Anna Kantosalo and Antti Salovaara and Tapio Takala and Christian Guckelsberger",

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Uusitalo, S, Kantosalo, A, Salovaara, A , Takala, T & Guckelsberger, C 2022, Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection. in T Martins, N Rodríguez-Fernández & SM Rebelo (eds), Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. Lecture Notes in Computer Science, vol. 13221, Springer, pp. 292-307, International Conference on Artificial Intelligence in Music, Sound, Art and Design, Madrid, Spain, 20/04/2022. https://doi.org/10.1007/978-3-031-03789-4_19

Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection. / Uusitalo, Severi; Kantosalo, Anna; Salovaara, Antti et al.
Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. ed. / Tiago Martins; Nereida Rodríguez-Fernández; Sérgio M. Rebelo. Springer, 2022. p. 292-307 (Lecture Notes in Computer Science; Vol. 13221).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection

AU - Uusitalo, Severi

AU - Kantosalo, Anna

AU - Salovaara, Antti

AU - Takala, Tapio

AU - Guckelsberger, Christian

N1 - Conference code: 11

PY - 2022/4/15

Y1 - 2022/4/15

N2 - 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.

AB - 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.

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KW - introspection

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T3 - Lecture Notes in Computer Science

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EP - 307

BT - Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings

A2 - Martins, Tiago

A2 - Rodríguez-Fernández, Nereida

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Uusitalo S, Kantosalo A, Salovaara A , Takala T , Guckelsberger C. Co-creative Product Design with Interactive Evolutionary Algorithms: A Practice-Based Reflection. In Martins T, Rodríguez-Fernández N, Rebelo SM, editors, Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Proceedings: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. Springer. 2022. p. 292-307. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-03789-4_19

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

Abstract

Publication series

Conference

Keywords

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FCAI: Finnish Center for Artificial Intelligence (FCAI)

Digital Aura: Crafting a Digital Representation of Self in the Physical World

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

FCAI: Finnish Center for Artificial Intelligence (FCAI)

Digital Aura: Crafting a Digital Representation of Self in the Physical World

Cite this