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Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study
IEEE Transactions on Games, Volume: 14, Issue: 3, Pages: 413 - 422
Swansea University Authors: Sean Walton , Alma Rahat
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DOI (Published version): 10.1109/tg.2021.3086215
Abstract
Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was designed for this study which (a) is focused on supporting th...
Published in: | IEEE Transactions on Games |
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ISSN: | 2475-1502 2475-1510 |
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Institute of Electrical and Electronics Engineers (IEEE)
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57073 |
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2022-09-26T15:52:04.4902334 v2 57073 2021-06-09 Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study 0ec10d5e3ed3720a2d578417a894cf49 0000-0002-6451-265X Sean Walton Sean Walton true false 6206f027aca1e3a5ff6b8cd224248bc2 0000-0002-5023-1371 Alma Rahat Alma Rahat true false 2021-06-09 SCS Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was designed for this study which (a) is focused on supporting the designer to explore the design space and (b) only requires the designer to interact with it by designing levels. The tool identifies level design patterns in an initial hand-designed map and uses that information to drive an interactive optimisation algorithm. A rigorous user study was designed which compared the experiences of designers using the mixed-initiative tool to designers who were given a tool which provided completely random level suggestions. The designers using the mixed-initiative tool showed an increased engagement in the level design task, reporting that it was effective in inspiring new ideas and design directions. This provides significant evidence that procedural content generation can be used as a powerful tool to support the human design process. Journal Article IEEE Transactions on Games 14 3 413 422 Institute of Electrical and Electronics Engineers (IEEE) 2475-1502 2475-1510 1 9 2022 2022-09-01 10.1109/tg.2021.3086215 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-09-26T15:52:04.4902334 2021-06-09T13:05:55.5769082 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sean Walton 0000-0002-6451-265X 1 Alma Rahat 0000-0002-5023-1371 2 James Stovold 3 57073__20098__c7dced0a1b064aa5b603ec1f514a0927.pdf 2005.07478.pdf 2021-06-09T13:10:11.6696045 Output 5813610 application/pdf Accepted Manuscript true true eng |
title |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
spellingShingle |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study Sean Walton Alma Rahat |
title_short |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
title_full |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
title_fullStr |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
title_full_unstemmed |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
title_sort |
Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study |
author_id_str_mv |
0ec10d5e3ed3720a2d578417a894cf49 6206f027aca1e3a5ff6b8cd224248bc2 |
author_id_fullname_str_mv |
0ec10d5e3ed3720a2d578417a894cf49_***_Sean Walton 6206f027aca1e3a5ff6b8cd224248bc2_***_Alma Rahat |
author |
Sean Walton Alma Rahat |
author2 |
Sean Walton Alma Rahat James Stovold |
format |
Journal article |
container_title |
IEEE Transactions on Games |
container_volume |
14 |
container_issue |
3 |
container_start_page |
413 |
publishDate |
2022 |
institution |
Swansea University |
issn |
2475-1502 2475-1510 |
doi_str_mv |
10.1109/tg.2021.3086215 |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
document_store_str |
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active_str |
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description |
Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was designed for this study which (a) is focused on supporting the designer to explore the design space and (b) only requires the designer to interact with it by designing levels. The tool identifies level design patterns in an initial hand-designed map and uses that information to drive an interactive optimisation algorithm. A rigorous user study was designed which compared the experiences of designers using the mixed-initiative tool to designers who were given a tool which provided completely random level suggestions. The designers using the mixed-initiative tool showed an increased engagement in the level design task, reporting that it was effective in inspiring new ideas and design directions. This provides significant evidence that procedural content generation can be used as a powerful tool to support the human design process. |
published_date |
2022-09-01T04:12:32Z |
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1763753855202361344 |
score |
11.0299 |