Analysis of User Usage Trends of AI-Assisted Customized Fashion Design Software in the Dimension of Interaction Design——An empirical study on Chinese user willingness to use based on an extended TAM model

As AI technology penetrates into customized fashion design, traditional TAM and UTAUT models have provided insights into the study of new technology acceptance, but the research on user intentions towards AI-assisted customization software requires the introduction of new variables. This study concentrates on the impact of interaction design (including interaction behavior, interaction content, and interaction form) and user perception (including perceived usefulness, ease of use, creativity, and social influence) on Chinese user intentions. The model in this study performs well in explaining user intentions to continue use. So it can provide a theoretical basis for the design optimization of other AI-assisted design products.