归属院系：

新闻传播学院（融媒体学院）

作者：

郝思嘉

导师：

杨婷

导师单位：

新闻传播学院（融媒体学院）

学位：

硕士

语种：

中文

关键词：

生成式AI, 感知交互性, 持续使用意愿, 社会临场感, 人工智能信任

摘要：

生成式人工智能以大语言模型为核心快速发展，正在重塑用户的内容生产方式与人机交互模式，并推动人机关系由传统的工具式使用逐渐向具有互动性与社会属性的协作关系转变。生成式人工智能深度求索DeepSeek作为大语言模型的重要代表，通过在大模型架构与推理能力方面的技术突破，进一步推动了人机协同互动的演进。在传统信息系统中，感知交互性、社会临场感与信任等变量已在电子商务、虚拟社区及远程教育等研究领域已得到较为广泛的关注，并被证实对用户行为具有重要影响。而在人机关系协同发展背景下，上述变量在生成式人工智能领域的实证研究仍较为缺乏，用户的交互体验如何影响其使用意愿，情感体验与信任机制又会如何影响用户对生成式AI的态度与行为意愿，成为当前亟需深入研究的重要议题。基于上述问题，本研究以DeepSeek用户为研究对象，探究用户对生成式AI的持续使用意愿影响机制，重点分析在用户使用过程中形成的感知交互性对持续使用意愿的影响机制，关注社会临场感在感知交互性与持续使用意愿之间的中介效应，并探讨AI信任可能存在的调节效应，构建起以感知交互性为自变量，持续使用意愿为因变量，社会临场感为中介变量，AI信任为调节变量的理论模型，并提出系列假设。研究通过问卷调查收集520份有效样本数据，运用统计学方法对数据进行结构方程模型分析，检验了主效应、中介效应与调节效应。研究发现：第一，感知交互性能够直接提升用户对生成式AI的使用意愿；第二，感知交互性能通过社会临场感的中介作用增强用户持续使用的心理意愿；第三，AI信任对用户行为意愿具有显著的调节效应，当用户对AI具有较高信任时，交互体验与社会临场感更易转化为稳定的持续使用意愿。本研究构建起将生成式AI作为协作主体的解释框架，丰富和拓展了生成式AI语境下用户行为的理论研究。将感知交互性作为前因变量引入文本类生成式AI的研究情景中，拓展了社会临场感理论在人机交互中的适用性，为理解人机交互中用户的核心心理影响机制提供了实证支持，构建并验证了有调节效应的中介模型。同时，研究结果为生成式人工智能平台优化交互设计、提升用户信任与构建长期协作关系提供了参考依据与实践建议。

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提交日期：

2026-08-28

引用参考：

郝思嘉. 感知交互性对生成式AI用户的持续使用意愿影响研究——以DeepSeek为例[D]. 西南政法大学,2026.

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