Heuristics for AI-Driven Graphical Asset Generation Tools in Game Design and Development Pipelines: A User-Centered Approach

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Authors: Kaisei Fukaya, Damon Daylamani-Zad, Harry Agius
Cited by: 0
References: 50

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.

Fields of Study & Subjects

Artificial Intelligence in Games Digital Games and Media Data Visualization and Analytics

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Pages
1–22
Publication date
4 March 2026
Language
EN