Research on New Media Art Generation by Usingthe Empirical Research Method

다국어 초록 (Multilingual Abstract)

With the rapid development of new computer technology, the field of new media art is facing new ways of creation and expression.This paper aims to use MR technology, big model AIGC and decision tree CART algorithm to reuse circular space, generate scenes in real time, provide rich and personalized experience for new media art trainer, and improve the replay rate of customers. This study uses empirical research method to test teenagers under 15 years old as users to study their physiological and psychological responses when using new media art works. Then through questionnaire surveys, in-depth interviews and other methods to obtain users ' experience feedback on new media art works to understand the user's cognitive, emotional, behavioral and other experiences of art works.Then data preprocessing and data mining are used to process the data to ensure the reliability and effectiveness of the experimental samples.Use machine learning model to train and use generative artificial intelligence to generate content and then generate new media art based on user experience in real time.