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Title: | Heuristics for AI-driven Graphical Asset Generation Tools in Game Design and Development Pipelines: A User-Centred Approach |
Authors: | Fukaya, K Daylamani-Zad, D Agius, H |
Keywords: | graphical game assets;artificial Intelligence;PCG;user behaviour;user interface |
Issue Date: | 2025 |
Publisher: | Taylor and Francis Group |
Citation: | Fukaya, K., Daylamani-Zad, D. and Agius, H. (2025) 'Heuristics for AI-driven Graphical Asset Generation Tools in Game Design and Development Pipelines: A User-Centred Approach', International Journal of Human-Computer Interaction, 0 (in submission) |
Abstract: | Graphical assets play an important role in the design and development of games. There is potential in the use of AI-driven generative tools, to aid in creating graphical assets, thus improving game design and development pipelines. However, there is little research to address how the generative methods can fit into the wider pipeline. There also no guidelines or heuristics for creating such tools. To address this gap we conducted a user study with 16 game designers and developers to examine their behaviour and interaction with generative tools for graphical assets. The findings highlight that early design stage is preferred by all participants. Designers and developers are inclined to use such tools for creating large amounts of variations at the cost of quality as they can improve the quality of the artefacts once they generate a suitable asset. The results also strongly raised the need for better integration of such tools in existing design and development environments and the need for the outputs to be in common data formats, to be manipulatable and smoothly integrate into existing environments. The study also highlights the requirement for further emphasis on the needs of the users to incorporate these tools effectively in existing pipelines. 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: | The article on this institutional repository is a preprint version 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 It has not been certified by peer review. The accepted version is embargoed until publication. |
URI: | https://bura.brunel.ac.uk/handle/2438/28017 |
ISSN: | 1044-7318 |
Other Identifiers: | ORCiD: Damon Daylamani-Zad https://orcid.org/0000-0001-7849-458X ORCiD: Harry Agius https://orcid.org/0000-0002-8818-2683 arXiv:2503.02703v2 [cs.HC] |
Appears in Collections: | Brunel Design School Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until publication | 1.04 MB | Adobe PDF | View/Open |
Preprintv2.pdf | Copyright © 2025 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). | 1.15 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License