Abstract
This research aims to revolutionize streetwear fashion brands' customization services by incorporating the Big Five personality psychology test and AI-generated content (AIGC) technology. Focus group discussions with professionals and designers explored integrating AIGC technology into customization services. An analysis of 200 questionnaires examined consumers' preferences for visual styles and image types in customized streetwear fashion brands. An experimental test matched AI-generated elements with personality dimensions, leading to personalized AI image-generation rules. This research identifies personalized needs and favored design elements, develops rules for data visualization, and offers insights into utilizing AI technology for data visualization. It presents a fresh approach to the future of customization services in streetwear fashion brands, combining AI technology with innovative psychological experiments. The study contributes to understanding the demand for customization services in the streetwear fashion industry, involving consumers and industry professionals.
Keywords
ai-generated content; branding customization; the big five personalities; streetwear fashion brands; user psychology
DOI
https://doi.org/10.21606/drs.2024.1125
Citation
Lai, J., Wang, X., and Yu, Y. (2024) Strategy Design of AI-generated Customization for Streetwear Fashion Brands Based on the Big Five Personality Test, 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.2024.1125
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Research Paper
Included in
Strategy Design of AI-generated Customization for Streetwear Fashion Brands Based on the Big Five Personality Test
This research aims to revolutionize streetwear fashion brands' customization services by incorporating the Big Five personality psychology test and AI-generated content (AIGC) technology. Focus group discussions with professionals and designers explored integrating AIGC technology into customization services. An analysis of 200 questionnaires examined consumers' preferences for visual styles and image types in customized streetwear fashion brands. An experimental test matched AI-generated elements with personality dimensions, leading to personalized AI image-generation rules. This research identifies personalized needs and favored design elements, develops rules for data visualization, and offers insights into utilizing AI technology for data visualization. It presents a fresh approach to the future of customization services in streetwear fashion brands, combining AI technology with innovative psychological experiments. The study contributes to understanding the demand for customization services in the streetwear fashion industry, involving consumers and industry professionals.