Adapting and enhancing evolutionary art for casual creation

Simon Colton, Jon McCormack, Sebastian Berns, Elena Petrovskaya, Michael Cook

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

Abstract

Casual creators are creativity support tools designed for non-experts to have fun with while they create, rather than for serious creative production. We discuss here how we adapted and enhanced an evolutionary art approach for casual creation. Employing a fun-first methodology for the app design, we improved image production speed and the quality of randomly generated images. We further employed machine vision techniques for image categorisation and clustering, and designed a user interface for fast, fun image generation, adhering to numerous principles arising from the study of casual creators. We describe the implementation and experimentation performed during the first stage of development, and evaluate the app in terms of efficiency, image quality, feedback quality and the potential for users to have fun. We conclude with a description of how the app, which is destined for public release, will also be used as a research platform and as part of an art installation.

Original languageEnglish
Title of host publicationArtificial Intelligence in Music, Sound, Art and Design
Subtitle of host publication9th International Conference, EvoMUSART 2020 Held as Part of EvoStar 2020 Seville, Spain, April 15–17, 2020 Proceedings
EditorsJuan Romero, Anikó Ekárt, Tiago Martins, João Correia
Place of PublicationCham Switzerland
PublisherSpringer
Pages17-34
Number of pages18
ISBN (Electronic)9783030438593
ISBN (Print)9783030438586
DOIs
Publication statusPublished - 2020
EventEuropean Conference on Artificial Intelligence in Music, Sound, Art and Design 2020: held as part of EvoStar 2020 - Seville, Spain
Duration: 15 Apr 202017 Apr 2020
Conference number: 9th
https://www.springer.com/gp/book/9783030438586?utm_campaign=3_pier05_buy_print&utm_content=en_08082017&utm_medium=referral&utm_source=google_books#otherversion=9783030438593 (Proceedings)
http://www.evostar.org/2020/ (Conference website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12103
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Artificial Intelligence in Music, Sound, Art and Design 2020
Abbreviated titleEvoMUSART 2020
CountrySpain
CitySeville
Period15/04/2017/04/20
Internet address

Cite this

Colton, S., McCormack, J., Berns, S., Petrovskaya, E., & Cook, M. (2020). Adapting and enhancing evolutionary art for casual creation. In J. Romero, A. Ekárt, T. Martins, & J. Correia (Eds.), Artificial Intelligence in Music, Sound, Art and Design: 9th International Conference, EvoMUSART 2020 Held as Part of EvoStar 2020 Seville, Spain, April 15–17, 2020 Proceedings (pp. 17-34). (Lecture Notes in Computer Science ; Vol. 12103). Springer. https://doi.org/10.1007/978-3-030-43859-3_2