基于实证研究法的新媒体艺术智能生成研究  

作　　者：叶彩仙 胥立军 Tsenguun Ganbat 

机构地区：[1]广州新华学院,广东东莞523133 [2]CITI大学,蒙古乌兰巴托14190-0077

出　　处：《科技创新与应用》2024年第19期14-18,共5页Technology Innovation and Application

摘　　要：随着计算机新技术的快速发展,新媒体艺术领域有着新的创作和表达方式。该文旨在采用MR技术、人工智能AIGC和决策树CART算法,重复利用环形空间,实时生成场景,为新媒体艺术体验者提供丰富的个性化的体验,提高客户的重玩率。该研究采用实证研究法,对15岁以下青少年为用户测试群体进行实验测试分析,研究他们在使用新媒体艺术作品或产品时的生理和心理反应,再通过问卷调查、深度访谈等方式获得用户对新媒体艺术作品的体验反馈,了解用户对艺术作品的认知、情感、行为等方面的体验,利用数据预处理与数据挖掘对数据进行处理,保证实验样本的可靠性和有效性。使用机器学习模型训练及生成式AI生成内容,实时制作出用户体验式新媒体艺术虚拟场景供用户体验。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 

分 类 号：X705[环境科学与工程—环境工程]