Factors influencing users’ attitudes towards intelligent chatbots in Chinese academic libraries: the role of algorithm literacy

This study explores the mechanism of the effect of algorithm literacy of Chinese academic library users on the attitude towards using library intelligent chatbots. The mixed research paradigm of convergent design is drawn upon by this study, a research model based on the Technology Acceptance Model and perceived risk theory is constructed, and questionnaire data and interview data are collected for analysis. There are three findings. First, the algorithm literacy of users themselves and the perception formed in the process of contact with library intelligent chatbots are important factors affecting their attitude towards use. Second, the effect of algorithm literacy on attitude is mediated by perceived efficiency and perceived risk. Lastly, People with higher algorithm literacy may hold more positive attitudes toward intelligent chatbots. This study reveals how algorithm literacy influences users’ interactions with AI technology, providing a novel perspective for the study of library intelligent chatbots usage. Practically, this study offers references and insights on effectively applying users’ algorithm literacy to enhance chatbots user acceptance and service quality.