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http://bura.brunel.ac.uk/handle/2438/28017| Title: | Heuristics for AI-Driven Graphical Asset Generation Tools in Game Design and Development Pipelines: A User-Centered Approach |
| Authors: | Fukaya, K Daylamani-Zad, D Agius, H |
| Keywords: | graphical game assets;artificial Intelligence;PCG;user behaviour;user interface |
| Issue Date: | 4-Mar-2026 |
| Publisher: | Taylor and Francis |
| Citation: | Fukaya, K., Daylamani-Zad, D. and Agius, H. (2026) 'Heuristics for AI-Driven Graphical Asset Generation Tools in Game Design and Development Pipelines: A User-Centered Approach', International Journal of Human-Computer Interaction, 0 (ahead of print), pp. 1–22. doi: 10.1080/10447318.2026.2632170. |
| Abstract: | Graphical assets play an important role in design and development of games. There is potential in the use of AI-driven generative tools to aid in creation of such assets, improving pipelines. However, there is little research to address how generative methods can fit into the wider pipeline, and no guidelines or heuristics for creating such tools. Hence, we conducted a user study with 16 game designers and developers to examine their behaviour and interaction with such tools. Findings highlight that early design stage is preferred by all participants. Designers and developers prioritise rapid variations over initial quality of assets. Results also strongly raised the need for better integration of such tools in existing design/development environments and pipelines, specifically regarding common data formats and output manipulability. Informed by these results, we provide a set of heuristics for creating tools that meet the expectations and needs of game designers and developers. |
| Description: | Supplemental material is available online at: https://www.tandfonline.com/doi/full/10.1080/10447318.2026.2632170# . A preprint version of the article is available under a CC BY licence at arXiv:2503.02703v2 [cs.HC] (https://arxiv.org/abs/2503.02703). [v2] Fri, 27 Jun 2025 16:11:20 UTC (861 KB) . It has not been certified by peer review. |
| URI: | https://bura.brunel.ac.uk/handle/2438/28017 |
| DOI: | https://doi.org/10.1080/10447318.2026.2632170 |
| ISSN: | 1044-7318 |
| Other Identifiers: | ORCiD: Kaisei Fukaya https://orcid.org/0000-0001-9828-7641 ORCiD: Damon Daylamani-Zad https://orcid.org/0000-0001-7849-458X ORCiD: Harry Agius https://orcid.org/0000-0002-8818-2683 |
| Appears in Collections: | Brunel Design School Research Papers |
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|---|---|---|---|---|
| FullText.pdf | Copyright © 2026 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. | 3.77 MB | Adobe PDF | View/Open |
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