[目的/意义]现有人智交互用户隐私风险感知影响因素实证研究结论存在诸多不一致，对该领域相关实证研究进行系统梳理，以明晰人智交互用户隐私风险感知的关键影响因素及潜在调节变量。[方法/过程]采用元分析方法，检索筛选出64篇有效文献，从人智交互特征、用户特征、隐私担心、隐私保护环境四个层面识别出19个影响隐私风险感知的关键因素，并通过检验潜在调节效应识别了部分研究异质性来源。[结果/结论]四个层面因素对人智交互用户隐私风险感知具有不同程度的影响，其中信息敏感性、隐私关注、感知威胁、焦虑与隐私风险感
知具有强相关性。AI特征、长期取向、不确定性规避和性别均具有一定调节作用。

[Purpose/significance] Existing studies have investigated factors affecting privacy risks in human-AI inter⁃actions, but their conclusions vary widely. This study systematically reviews relevant empirical research to identify key influencing factors and potential moderators of privacy risk perception in human-AI interaction. [Method/process] A meta-analysis was conducted, screening 64 valid studies. Key factors affecting privacy risk perception were identified across four dimensions: AI interaction characteristics, user characteristics, privacy concerns, and privacy protection en⁃vironments, totaling 19 critical factors. Potential moderators were tested to identify sources of heterogeneity in the find⁃ings. [Result/conclusion] Factors across the four dimensions influence users’privacy risk perception to varying de⁃grees. Information sensitivity, privacy concerns, perceived threats, and anxiety exhibit strong correlations with privacy risk perception. AI characteristics, long-term orientation, uncertainty avoidance, and gender demonstrate significant moderating effects.