Extending the theory of planned behavior model to explain people’s behavioral intentions to follow China’s AI generated content law
Jie-Chun Li, Yi Lin, Yi-Chun Yang
Abstract
AI Generated Content Law was extensively promoted in 2023; hence, it is crucial to uncover factors influencing people's behavioral intentions to comply with the AI Generated Content Law. This study extends the theory of planned behavior to explore the factors influencing people to follow AI Generated Content Law in China. In addition to the factors in TPB model, such as one's attitudinal factors, normative factors, and perceived behavioral control, we add another factor-moral obligation to extend the theory of planned behavior model. We used convenient sampling and there were 712 effective samples. Using the statistical software Amos17.0, the result shows that attitude, subjective norms, perceived behavioral control and moral obligation all have positive effects on intentions to follow AI Generated Content Law.