Research on Influencing Factors of User Stickiness of Educational Robot Products

With the rapid development of artificial intelligence technology, educational robots have been widely applied in basic and quality education as intelligent learning tools.However, the low user retention rate has become a critical issue restricting their sustainable development.User stickiness not only relates to the market performance of educational robot products but also directly affects the realization of their educational value.Addressing the limitations of existing research, which mostly explores user behavior from a single perspective and lacks systematic causal analysis, this paper constructs a comprehensive analysis framework integrating Pearson correlation analysis, the DEMATEL method, and the ISM model to systematically study the formation mechanism of user stickiness in educational robots.Based on survey data from 31 industry experts, the study first identifies and verifies 14 key factors influencing user stickiness.Secondly, it delineates the causal relationships and hierarchical structure among these factors.The results indicate that the formation of user stickiness in educational robots presents a hierarchical path of "Technology Drive -Experience Transmission -Value Perception."Specifically, technological advancement and big data personalization are the fundamental drivers of the system; user experience factors play a key mediating role; while educational quality, content timeliness, and customer service manifest as final result variables.The conclusions provide empirical evidence for the technological optimization and operational decision-making of educational robot products.