Abstract
This study investigated the impact of the visual fidelity of externalized ideas, particularly when supported by generative artificial intelligence (GAI), on cognitive actions, co-evolution, and knowledge exchange in multidisciplinary co-design workshops. Although sketching has long served as a mediating artifact for collaboration, empirical validation is required to understand how GAI, as a visualization tool, reshapes design cognition and collaborative dynamics. A multidisciplinary co-design workshop was conducted, and data were collected through pre- and post-workshop surveys, video recordings, and post-interviews. A protocol analysis was conducted based on the participants’ verb aliz at ions during the workshop sessions, and the survey data were statistically analyzed to assess quantitative changes. Finally, by integrating inductive and deductive approaches, this study proposes strategies for utilizing GAI to support the concretization of idea representations in multidisciplinary co-design, aiming to foster effective co-evolution and knowledge exchange.
Keywords
Generative AI; Multidisciplinary Co-design; Idea Externalization Fidelity; Cognitive Actions
DOI
https://doi.org/10.21606/iasdr.2025.897
Citation
Lim, Y.,and Lee, Y.(2025) The Impact of the Visual Fidelity of Externalized Ideas on Participants' Cognitive Actions and Co-evolution: Focusing on Generative AI-Supported Multidisciplinary Co-design, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.897
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 6 - Co-creation
The Impact of the Visual Fidelity of Externalized Ideas on Participants' Cognitive Actions and Co-evolution: Focusing on Generative AI-Supported Multidisciplinary Co-design
This study investigated the impact of the visual fidelity of externalized ideas, particularly when supported by generative artificial intelligence (GAI), on cognitive actions, co-evolution, and knowledge exchange in multidisciplinary co-design workshops. Although sketching has long served as a mediating artifact for collaboration, empirical validation is required to understand how GAI, as a visualization tool, reshapes design cognition and collaborative dynamics. A multidisciplinary co-design workshop was conducted, and data were collected through pre- and post-workshop surveys, video recordings, and post-interviews. A protocol analysis was conducted based on the participants’ verb aliz at ions during the workshop sessions, and the survey data were statistically analyzed to assess quantitative changes. Finally, by integrating inductive and deductive approaches, this study proposes strategies for utilizing GAI to support the concretization of idea representations in multidisciplinary co-design, aiming to foster effective co-evolution and knowledge exchange.