Abstract
In new product development, engaging users in co-creation provides valuable opportunities for innovation by uncovering their latent needs. However, user knowledge is often tacit and difficult to express. This study considers Generative-Image-AI as a tool to facilitate communication between users and designers, and explores how it intervenes in the design process to facilitate meaningful design conversations. We proposed the conceptual design iteration process model for Generative-Image-AI intervention in the product conceptual design phase and conducted a workshop with six designer-user dyads. The results demonstrated the positive impact of Generative-Image-AI on design conversations by fostering continuous communication, expanding possibilities, and encouraging reflection and iteration. We also discussed the new challenges that Generative-Image-AI brought to design conversations. Overall, Generative-Image-AI enriches the co-creation design conversations. Our research contributes to the integration of AI in human-human collaboration processes and provides a new perspective and foundation for AI-supported participatory design conversations.
Keywords
co-creation; design conversation; generative-image-ai; user participation
DOI
https://doi.org/10.21606/drs.2024.1329
Citation
He, W., Xiao, Y., and Xie, Y. (2024) Revealing user tacit knowledge: Generative-Image-AI helps create better design conversation, in Gray, C., Ciliotta Chehade, E., Hekkert, P., Forlano, L., Ciuccarelli, P., Lloyd, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.1329
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Research Paper
Included in
Revealing user tacit knowledge: Generative-Image-AI helps create better design conversation
In new product development, engaging users in co-creation provides valuable opportunities for innovation by uncovering their latent needs. However, user knowledge is often tacit and difficult to express. This study considers Generative-Image-AI as a tool to facilitate communication between users and designers, and explores how it intervenes in the design process to facilitate meaningful design conversations. We proposed the conceptual design iteration process model for Generative-Image-AI intervention in the product conceptual design phase and conducted a workshop with six designer-user dyads. The results demonstrated the positive impact of Generative-Image-AI on design conversations by fostering continuous communication, expanding possibilities, and encouraging reflection and iteration. We also discussed the new challenges that Generative-Image-AI brought to design conversations. Overall, Generative-Image-AI enriches the co-creation design conversations. Our research contributes to the integration of AI in human-human collaboration processes and provides a new perspective and foundation for AI-supported participatory design conversations.