[Purpose/significance] With the rapid advancement of Generative Artificial Intelligence (GenAI) technolo⁃gy, the human-machine collaborative model in smart libraries has undergone innovative enhancements. This technolog⁃ical evolution has brought significant transformations across multiple dimensions, including service quality, resource al⁃location, and application scenarios, thereby providing an advanced technical foundation for the transformation and up⁃grading of smart libraries. [Method/process] Based on the extended information system continuous use model, media system dependence theory and user habit theory, the study analyzes the influencing factors and antecedents of users’ continuous use of generative AI-enabled smart library, and builds a conceptual model of influencing factors of user’s continuous use behavior of generative AI-enabled smart library. This paper studies how generative artificial intelli⁃
gence in the construction and development of smart library affects the user’s attitude and continuous use behavior un⁃der the application scenario, so as to provide a new research perspective and a theoretical framework for the user’s con⁃tinuous use of smart library. [Result/conclusion] The empirical results show that media dependence has significant positive effects on expectation validation and perceived usefulness. The degree of expected validation and perceived usefulness have significant positive effects on user satisfaction. The degree of expected validation and perceived useful⁃ness play a partial mediating role between media dependence and user satisfaction. User satisfaction plays a partial me⁃diating role between expectation confirmation degree and user’s continuous use behavior, and the effect is significant.However, the mediating effect of user satisfaction between perceived usefulness and continued usage behavior is not sta⁃tistically significant. User habit has a significant negative moderating effect on the relationship between expectation confirmation and user’s continuous use behavior.