Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. However, traditional workflows face challenges in communication due to the differing backgrounds of illustrators and designers, the latter with limited artistic abilities. To overcome these challenges, we created Sketchar, a Generative AI (GenAI) tool that allows designers to prototype game characters and generate images based on conceptual input, providing visual outcomes that can give immediate feedback and enhance communication with illustrators' next step in the design cycle. We conducted a mixed-method study to evaluate the interaction between game designers and Sketchar. We showed that the reference images generated in co-creating with Sketchar fostered refinement of design details and can be incorporated into real-world workflows. Moreover, designers without artistic backgrounds found the Sketchar workflow to be more expressive and worthwhile. This research demonstrates the potential of GenAI in enhancing interdisciplinary collaboration in the game industry, enabling designers to interact beyond their own limited expertise.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-10-14
DOI
https://doi.org/10.1145/3677102
Citations
28
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
9.73
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article

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

Toby Jia-Jun Li, Long Ling, Ray Lc, Ruoyu Wen et al.
28 citations
Proceedings of the ACM on Human-Computer Interaction
Artificial Intelligence in Games
9.73
article

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

Toby Jia-Jun Li, Long Ling, Ray Lc, Ruoyu Wen, Xinyi Chen
article en
28 citations

Abstract

Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. However, traditional workflows face challenges in communication due to the differing backgrounds of illustrators and designers, the latter with limited artistic abilities. To overcome these challenges, we created Sketchar, a Generative AI (GenAI) tool that allows designers to prototype game characters and generate images based on conceptual input, providing visual outcomes that can give immediate feedback and enhance communication with illustrators' next step in the design cycle. We conducted a mixed-method study to evaluate the interaction between game designers and Sketchar. We showed that the reference images generated in co-creating with Sketchar fostered refinement of design details and can be incorporated into real-world workflows. Moreover, designers without artistic backgrounds found the Sketchar workflow to be more expressive and worthwhile. This research demonstrates the potential of GenAI in enhancing interdisciplinary collaboration in the game industry, enabling designers to interact beyond their own limited expertise.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CHI PLAY)
University of Notre Dame (US), Tongji University (CN), City University of Hong Kong (HK), University of Canterbury (NZ), Zhejiang University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Artificial Intelligence in Games
9.73
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