首页|期刊导航|数据科学与管理（英文）|Understanding users'effective use of generative conversational AI from a media naturalness perspective:a hybrid structural equation modeling-artificial neural network(SEM-ANN)approach
数据科学与管理（英文）2025，Vol.8Issue(2)：147-159,13.DOI:10.1016/j.dsm.2024.09.001
Understanding users'effective use of generative conversational AI from a media naturalness perspective:a hybrid structural equation modeling-artificial neural network(SEM-ANN)approach
Understanding users'effective use of generative conversational AI from a media naturalness perspective:a hybrid structural equation modeling-artificial neural network(SEM-ANN)approach
摘要
关键词
Generative conversational AI/Content naturalness/Style naturalness/Effective use/SEM-ANN methodKey words
Generative conversational AI/Content naturalness/Style naturalness/Effective use/SEM-ANN method引用本文复制引用
Kun Wang,Yaobin Lu,Zhao Pan..Understanding users'effective use of generative conversational AI from a media naturalness perspective:a hybrid structural equation modeling-artificial neural network(SEM-ANN)approach[J].数据科学与管理（英文）,2025,8(2):147-159,13.基金项目
This work was supported by the National Natural Science Foundation of China(NSFC)(Grant No.72171095),the National Social Science Foundation of China(Grant No.22VRC153),and the Wuhan Textile University Fund(Grant Nos.2024289 and 2024380). （NSFC）
