GAIG Game AI Research Group @ QMUL

Adapting and Enhancing Evolutionary Art for Casual Creation


Abstract

Casual creators are creativity support tools designed for nonexperts 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.

Cite this work

@inproceedings{colton2020adapting,
author= {Colton, Simon and McCormack, Jon and Cook, Michael and Berns, Sebastian},
title= {{Adapting and Enhancing Evolutionary Art for Casual Creation}},
year= {2020},
booktitle= {{International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar)}},
pages= {17--34},
publisher= {Springer, Cham},
abstract= {Casual creators are creativity support tools designed for nonexperts 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.},
}

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