GANCollage: A GAN-Driven Digital Mood Board to Facilitate Ideation in Creativity Support
Open accessAbstract
During past decades, Artificial Intelligence (AI) has been consistently used in Creativity Support Tools (CSTs). Recently, with the development of generative AI models, particularly Generative Adversarial Nets (GAN) in Computer Vision, it became possible that AI directly generates visual ideas. However, there were rarely any work in creativity research that harnessed the design ideas generated by such models directly for design space exploration. In this paper, we propose a StyleGAN-driven digital mood board, GANCollage, that integrates AI generated visual ideas into the ideation phase for creativity support. GANCollage supports semantic explorations of StyleGAN generations in an iterative human-in-the-loop manner, using an AI-driven interactive tagging system. Our evaluation involving 10 participants manifests that GANCollage provides more creativity support without compromising the final results. It also offers a more enjoyable, explicit and effective way of exploring AI generated visual ideas for ideation.
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The Collaboration subscale is irrelevant and often omitted in exclusively single-user contexts like that of the study.
“We did not collect responses for the Collaboration subscale, which is irrelevant and often omitted in exclusively single-user contexts like that of our study (e.g., [5, 87]).”
From Homogenization Effects of Large Language Models on Human Creative Ideation (2024) · cites this paper as [87]
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Cited by
Sorted by citations
Homogenization Effects of Large Language Models on Human Creative Ideation
Anderson, B. R., Shah, J. H., & Kreminski, M. (2024) · Creativity and Cognition · doi:10.1145/3635636.3656204 · Cited by 188 · see citing works
- Authors
- Wan, Q., & Lu, Z.
- Affiliations
- City University of Hong Kong (HK)
- ORCID
- Venue
- Proceedings of the 2023 ACM Designing Interactive Systems Conference
- Publisher
- ACM
- Published
- 2023-07-10
- Pages
- 136-146
- OpenAlex
- W4383681442
- Cited by
- 46
- References
- 27
- Citations by year
- 2026: 9 · 2025: 25 · 2024: 12
- FWCI
- 13.46
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Designing Interactive Systems Conference (publishedVersion)
- Funders
- Tencent
- China Computer Federation
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Keywords
- creativity support tools, idea generation, StyleGAN, generative adversarial networks, design space exploration, human-in-the-loop, semantic exploration, generative AI in design
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