A Study of Factors Influencing College Students'Willingness to Use Generative AI Consistently Based on the TAM and TTF Integration Model
This paper aims to explore college students'intention to use generative artificial intelligence.Based on an integrated framework of the Technology Acceptance Model(TAM)and the Task-Technology Fit Model(TTF),this paper collected data through a questionnaire survey and conducted statistical analysis using SPSS 26.0 and AMOS 24.0 software.The results indicate that task characteristics and technology characteristics have a positive impact on task-technology fit.Task-technology fit further positively influences users'perceived ease of use,perceived usefulness,and continuous usage intention.Perceived ease of use positively affects perceived usefulness.Both perceived ease of use and perceived usefulness have a positive effect on continuous usage intention.Additionally,perceived ease of use and perceived usefulness play mediating roles between task-technology fit and continuous usage intention.
Technology Acceptance Model(TAM)Task-Technology Fit Model(TTF)generative artificial intelligencecollege students
万方数据
维普
