[目的/意义]挖掘智能技术在应对虚假信息方面的潜在价值，理解人机交互对用户信息感知及信息行为的影响机制，以帮助互联网平台设计合适的智能系统辅助公众提升虚假信息甄别能力。[方法/过程]基于社会认知理论框架，采用实验室实验方法采集数据，运用双因素方差分析和单因素方差分析，探讨交互对象是人类专家或智能系统、交互方式是独立交互或群体交互，对提升公众虚假信息甄别能力的差异。[结果/结论]对交互对象的认知和交互方式会对用户信息素养能力和信息真实性感知产生交叉影响，在与智能系统的人机交互过程中同时参与群体交互，会显著提升信息素养能力和信息真实性感知水平，并减少虚假信息的“点赞”行为。

[Purpose/significance] To delve into the potential worth of intelligent technology in resolving the problem of misinformation, comprehending the mechanisms of human-computer interaction regarding users' perception of infor⁃mation and their information behavior can facilitate internet platforms in designing appropriate intelligent systems to as⁃sist the public in strengthening their ability to identify misinformation. [Method/process] Based on the framework of social cognitive theory, Two-way ANOVA and One-way ANOVA are employed to analyze the data collected through laboratory experiment methods. This paper explores the differences between whether the interaction objects are human experts or intelligent systems and the mode of independent interaction or group interaction to enhance the public's abili⁃ty to discriminate information. [Result/conclusion] Users' cognition of interactive objects and interaction mode will have a cross-effect on information literacy ability and perception of information authenticity. During the process of hu⁃
man-computer interaction with intelligent systems, simultaneous participation in group interaction will significantly en⁃hance the information literacy ability, raise the perception level of information authenticity, and reduce the "like" be⁃havior of misinformation.