Creative combinational design through generative AI in different dimensional representations: An exploration

Although generative AI models are increasingly integrated into creative work, there is limited evidence on how dimensional representations of generative AI—text, image, and 3D—impact the creative process. Identifying these effects aids researchers in selecting suitable models for developing generative design. Through two empirical studies, this research examines the capacity of generative models with varying dimensions to support combinational ideation and influence the creative design process. The results indicate that generative models in different dimensions demonstrate varying levels of creative combinational ideation. Generative AI supports combinational ideation by providing more ideas in divergent stages rather than helping decision-making in convergent stages. These results help inform AI design developers in choosing models and integrating models for combination.

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Publication Details

Journal
Design and Artificial Intelligence
Published
2025-03-01
DOI
https://doi.org/10.1016/j.daai.2025.100006
Citations
5
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
3.57
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article

Creative combinational design through generative AI in different dimensional representations: An exploration

Yuan Yin, Liuqing Chen, Boheng Wang, Peter Childs et al.
5 citations
Design and Artificial Intelligence
Design Education and Practice
3.57
article

Creative combinational design through generative AI in different dimensional representations: An exploration

Yuan Yin, Liuqing Chen, Boheng Wang, Peter Childs, Xiaoyang Zhao, Ji Han
article en
5 citations

Abstract

Although generative AI models are increasingly integrated into creative work, there is limited evidence on how dimensional representations of generative AI—text, image, and 3D—impact the creative process. Identifying these effects aids researchers in selecting suitable models for developing generative design. Through two empirical studies, this research examines the capacity of generative models with varying dimensions to support combinational ideation and influence the creative design process. The results indicate that generative models in different dimensions demonstrate varying levels of creative combinational ideation. Generative AI supports combinational ideation by providing more ideas in divergent stages rather than helping decision-making in convergent stages. These results help inform AI design developers in choosing models and integrating models for combination.

Design and Artificial IntelligenceVol. 1(1)
Zhejiang University of Science and Technology (CN), University of Exeter (GB), Dyson (United Kingdom) (GB), Imperial College London (GB)
Openalex Percentile: Top 7%
Design Education and Practice
3.57
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Creative combinational design through generative AI in different dimensional representations: An exploration — Yuan Yin, Liuqing Chen, et al. · Design and Artificial Intelligence (2025) | TGRS Research Map | TGRS