Please use this identifier to cite or link to this item: 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 It has not been certified by peer review.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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