Impact of Artificial Intelligence on the Mental Health Field of Innovation and Entrepreneurship and Empirical Research

This paper proposes the use of regression model to establish a multiple regression model for regression analysis using the frequency of use and the function of use of artificial intelligence technology as the independent variables, and emotion, cognition, values, and behavioral intention in the field of mental health as the dependent variables, respectively. Examine the impact of the use of artificial intelligence technology on the psychological well-being of innovative entrepreneurs. Separately, the survey samples were tested on the mental health status of innovation and entrepreneurship, including SAS/SDS/SCL-90.Based on the results of the survey on the mental health of innovation and entrepreneurship students in colleges and universities, regression tests were carried out to verify the research hypotheses. The regression model of the use behavior of AI technology on the mood, cognition, values, and behavioral intention of innovative entrepreneurship students fits well, in which the regression analysis model of the use behavior of AI technology on behavioral intention is significant and does not have the problem of covariance, with a value of R² of 0.234. The value of R² of model 3 improves by 3.6% after the addition of the independent variable, which can indicate that model 3 is more explanatory of the behavioral intention. H1 and H2 hypotheses are valid. And it indicates that the motivation to use AI technology significantly affects the user’s behavior positively. And the frequency of use and the function of the use in the use behavior will have a significant positive impact on social emotion, social cognition, social values, and behavioral intention.