AIGC用户中辍行为影响因素模型构建与实证研究  

Model Construction and Empirical Research on the Influencing Factors of AIGC User Dropout Behavior

作　　者：姚丽琴[1] 张海[2] YAO Liqin;ZHANG Hai(Department of Shanxi Academy of Social Sciences(Development Research Center of Shanxi Provincial People's Government),Taiyuan 030032;School of information management,Nanjing Agricultural University,Nanjing 210095)

机构地区：[1]山西省社会科学院(山西省人民政府发展研究中心),太原030032 [2]南京农业大学信息管理学院,南京210078

出　　处：《农业图书情报学报》2024年第5期79-92,共14页Journal of Library and Information Science in Agriculture

基　　金：浙江省教育厅一般项目“移动商务用户流失行为的形成机理及应对策略研究”(Y202250326)。

摘　　要：[目的/意义]为了厘清AIGC情境下用户心理韧性的驱动因素以及AIGC用户中辍行为的特征规律,有效缓解AIGC用户在初始采纳阶段后流失和中辍等消极行为造成的潜在风险,刺激AIGC用户持续使用,促进AIGC产业由技术驱动向用户驱动的高质量转变。[方法/过程]研究以韧性理论和S-O-R理论为基础,构建了AIGC用户中辍行为影响因素研究模型,通过发放问卷的形式,搜集了328份原始数据对所构建的模型进行实证和检验。[结果/结论]研究结果显示,心理韧性是有效缓解AIGC用户中辍行为的重要因素,技术韧性和信息质量是提升用户心理韧性的重要驱动因素,以此为基础,提出了提升用户心理韧性、防止用户中辍,促进用户持续使用的对策与建议。[Purpose/Significance]In the context of the rapid development of the artificial intelligence generated content(AIGC),it is crucial to understand the driving factors of users'psychological resilience and the characteristics of AIGC users'dropout behavior.This research focuses on this area to address the lack of in-depth studies in the existing literature.It aims to contribute to the knowledge system by providing a more comprehensive understanding of user behavior in the context of the AIGC.This is significant for promoting the transformation of the AIGC industry,as it helps to reduce the negative impacts of user loss and transfer,and promotes the sustainable use of the AIGC.It also has practical value in addressing the challenges facing the industry.[Method/Process]This study is based on resilience theory and S-O-R theory,which provide a solid theoretical foundation for the research.A questionnaire survey method is used,which is an appropriate approach for collecting data directly from users.A total of 328 questionnaires were collected from a wide range of AIGC users,ensuring the representativeness and reliability of the data.The empirical analysis and testing of the constructed model helps to validate the research hypotheses and draw meaningful conclusions.[Results/Conclusions]The research shows that psychological resilience is indeed a key factor in reducing dropout among AIGC users.Technological resilience and information quality play an important role in enhancing the psychological resilience of users,Based on these results,specific strategies and suggestions are proposed,such as improving the technological stability and performance of the AIGC,enhancing the quality of the information provided,and providing personalized support and training for users.However,there are some limitations to this study.For example,the sample size may not be large enough to cover all types of AIGC users.Future research could increase the sample size and explore other potential factors that may influence user behavior.In addition,lo

关 键 词：心理韧性 中辍行为 AIGC S-O-R理论 累积性情感因素 信息行为 

分 类 号：G203[文化科学—传播学] G252