Analysis of User Intention to Use of AI-Assisted Customized Fashion Design Software in the Dimension of Interaction Design— —An empirical study in China 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 customized fashion design software requires the introduction of new variables.This study focuses on the impact of interaction design (including interaction behavior,interaction content, and interaction form) and user perception (including perceived usefulness, ease of use, personal innovation, and social influence) on user intentions.The construction and analysis of the new model show that interaction design elements indirectly affect users' intention to continue using through influencing mediating variables such as perceived ease of use and personal innovation. The impact of interaction content and interaction form is significant, while the impact of interaction behavior is relatively small.Personal innovation has a positive effect on the intention to continue use, with perceived usefulness being the most critical factor. The model in this study performs well in explaining user intentions to continue use, providing a theoretical basis for the design optimization of such AI-assisted design products, and has important guiding implications for development priorities and marketing strategies.