科技创新与应用2024，Vol.14Issue(19)：14-18,5.DOI:10.19981/j.CN23-1581/G3.2024.19.003
基于实证研究法的新媒体艺术智能生成研究
叶彩仙 1胥立军 2Tsenguun Ganbat3
作者信息
- 1. 广州新华学院,广东 东莞 523133||CITI大学,蒙古 乌兰巴托 14190-0077
- 2. 广州新华学院,广东 东莞 523133
- 3. CITI大学,蒙古 乌兰巴托 14190-0077
- 折叠
摘要
Abstract
With the rapid development of new computer technology,the field of new media art is facing new ways of creation and expression.The purpose of this paper is to use MR technology,AIGC and decision tree CART algorithm to reuse annular space and generate scenes in real time,so as to provide rich personalized experience for new media art experience and improve the replay rate of customers.This study adopts the method of empirical research,through the experimental test and analysis of young people under the age of 15 as user test groups,to study their physical and psychological reactions when using new media works of art or products,and then through questionnaires,in-depth interviews and other ways to get users'experience feedback on new media works of art,to understand users'cognitive,emotional and behavioral experience of works of art.Data preprocessing and data mining are used to process the data to ensure the reliability and validity of the experimental samples.It is suggested to use machine learning model training and generative AI to generate content,and create a user-experienced new media art virtual scene for user experience in real time.关键词
计算机技术/用户体验/新媒体艺术/AIGC/实证研究法Key words
computer technology/user experience/new media art/AIGC/empirical research method分类
资源环境引用本文复制引用
叶彩仙,胥立军,Tsenguun Ganbat..基于实证研究法的新媒体艺术智能生成研究[J].科技创新与应用,2024,14(19):14-18,5.
