The Evolving Roles of Modern Designers: Through the Lens of Design Behavioral Patterns within Work Environments Enhanced by Generative AI

Authors

Xinyu Li, Modern Industrial Design Institute, Zhejiang University, Hangzhou, ChinaFollow
Huiting Liu, School of Computer Science and Technology, Zhejiang University, Hangzhou, ChinaFollow
Xiyuan Zhang, Modern Industrial Design Institute, Zhejiang University, Hangzhou, ChinaFollow
Ruiyi Cai, Modern Industrial Design Institute, Zhejiang University, Hangzhou, ChinaFollow
Yang Yin, Modern Industrial Design Institute, Zhejiang University, Hangzhou, ChinaFollow
Sisi Wu, Hangzhou Shentu Intelligent Technology Co.Follow
Chunlei Chai, Modern Industrial Design Institute, Zhejiang University, Hangzhou, ChinaFollow

Abstract

In the rapidly advancing landscape of generative AI, the role of designers is constantly being reshaped amidst the choice between traditional tools and emerging technologies. To comprehend this transformation, we developed a platform integrating multiple generative AI models and allowed for unrestricted search and sketching to emulate a realistic working scenario. Within this setting, we analyzed the design behavioral patterns exhibited by experienced designers: through both quantitative and qualitative analyses, we examined the cause and effect of generation patterns and iteration patterns. This exploration inspired insights into the designer's evolving role, transitioning to a continuous learner and being more than a curator when incorporating generative AI.

Keywords

generative ai; human-ai collaboration; conceptual design

DOI

https://doi.org/10.21606/drs.2024.600

Citation

Li, X., Liu, H., Zhang, X., Cai, R., Yin, Y., Wu, S., and Chai, C. (2024) The Evolving Roles of Modern Designers: Through the Lens of Design Behavioral Patterns within Work Environments Enhanced by Generative AI, 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.2024.600

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Research Paper