情报科学 ›› 2024, Vol. 42 ›› Issue (12): 201-213.

• 博士论坛 • 上一篇    下一篇

AIGC问答平台用户信息交互行为影响因素研究 ——基于SEM与fsQCA的实证分析

  

  • 出版日期:2024-12-05 发布日期:2025-06-27

  • Online:2024-12-05 Published:2025-06-27

摘要: 【目的/意义】探究AIGC问答平台用户信息交互行为,对拓宽AIGC问答平台研究体系,提升AIGC问答平 台的用户服务质量具有重要意义。【方法/过程】基于信息生态理论构建AIGC问答平台用户信息交互行为影响因素 模型。采用结构方程模型与模糊集定性比较分析混合方法开展实证研究。【结果/结论】(1)信息有用性、信息易用 性、感知趣味性、技术促进性、交互氛围与交互意愿是影响 AIGC 问答平台用户信息交互行为的关键因素,同时 AIGC问答平台用户信息交互行为意愿往往作为中介变量影响交互行为。(2)信息有用性和信息易用性是信息交互 行为出现的重要条件,信息易用性和信息交互行为意愿构成经典组态路径的必要条件组合,并与其他变量组合后 共同推动信息交互行为的产生。【创新/局限】将经典理论融入AIGC这一新兴技术与交互模式研究之中。使用混合 实证方法讨论了多元复杂因果关系,未来还应针对平台用户信息交互机理等理论问题展开更为深入细致的研究。

Abstract: 【Purpose/significance】Exploring the user information interaction behavior of AIGC Q&A platform is of great significance to broaden the research system of AIGC Q&A platform and improve the user service quality of AIGC Q&A platform.【Method/process】 Based on the information ecology theory, we constructed a model of factors influencing the user information interaction behavior of AIGC Q&A platform. A mixed method of structural equation modelling and fuzzy set qualitative comparative analysis is used to carry out empirical research.【Result/conclusion】(1) Information usefulness, information ease of use, perceived fun, technology facilitation, interaction atmosphere and interaction willingness are the key factors influencing the information interaction behavior of AIGC Q&A platform users, while the willingness of AIGC Q&A platform users to interact with each other tends to act as a mediator variable influ⁃ encing interaction behavior. (2) Information usefulness and information ease of use are important conditions for the emergence of infor⁃ mation interaction behaviors, and information ease of use and willingness to engage in information interaction behaviors constitute a combination of the necessary conditions of the classical grouping paths, and together with the combination of other variables, they jointly promote the emergence of information interaction behaviors.【Innovation/limitation】Classical theories are integrated into the study of AIGC, an emerging technology and interaction model. A mixed empirical approach is used to discuss the multiple and com⁃ plex causal relationships, and more in-depth research should be carried out in the future to address the theoretical issues such as the mechanism of information interaction of platform users.