信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (4): 80-86.doi: 10.13365/j.jirm.2025.04.080

• 观点论文 • 上一篇    下一篇

用户与生成式人工智能交互中的信息甄别能力研究：影响机制与培育策略

吴丹1,2　郭清玥1   

  1. 1.武汉大学信息管理学院，武汉，430072；　
    2. 武汉大学人机交互与用户行为研究中心，武汉，430072
  • 出版日期:2025-07-26 发布日期:2025-08-31
  • 作者简介:吴丹（通讯作者），教授，博士生导师，研究方向为人机交互、用户信息行为、智慧图书馆，Email：woodan@whu.edu.cn；郭清玥，博士研究生，研究方向为人机交互、用户信息行为。
  • 基金资助:
    本文系国家自然科学基金重大研究计划培育项目“人机交互视角下数据与知识双驱动的可解释智能决策方法研究”（92370112）和湖北省自然科学基金创新群体项目“以人为本的人工智能创新应用”（2023AFA012）的研究成果。

A Study on User’ Information Screening Ability in Interaction with Generative Artificial Intelligence: Influence Mechanisms and Cultivation Strategies

Wu Dan1,2　Guo Qingyue1   

  1. 1.School of Information Management, Wuhan University, Wuhan，430072；　
    2. Center for Studies of Human-Computer Interaction and User Behavior, Wuhan University, Wuhan, 430072
  • Online:2025-07-26 Published:2025-08-31
  • About author:Wu Dan(corresponding author), professor, doctoral advisor, research interests include human-computer interaction, user information behavior and smart library, Email: woodan@whu.edu.cn; Guo Qingyue, doctoral candidate, research interests include human-computer interaction and user information behavior.
  • Supported by:
    This is an outcome of Major Research Plan Cultivation Project "Research on Interpretable Intelligent Decision-Making Methods Driven by Both Data and Knowledge from the Perspective of Human-Computer Interaction"(92370112) supported by National Natural Science Foundation and the innovation group project "Human-Centered Artificial Intelligence Innovative Applications"(2023AFA012) supported by Hubei Provincial Natural Science Foundation.

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摘要： 生成式人工智能迅猛发展背景下，帮助用户在与其交互过程中提升信息甄别能力、实现认知主体性的构建，有利于推进智能社会建设。从生成技术、认知主体、信息系统三方面指出用户在交互过程中面临的信息甄别挑战，剖析用户信息甄别能力的正负向影响机制。在此基础上，从社会技术视角出发，提出面向人工智能系统设计、用户人工智能素养提升与交互机制优化的培育策略，用以激活用户深层认知加工机制、抑制其惰性倾向。研究结论可为人智交互情境下信息甄别能力的影响机制提供解释，为用户信息甄别能力的培育策略制定提供支撑。

关键词: 生成式人工智能, 信息甄别, 用户信息行为, 人工智能素养, 培育策略

Abstract: Against the backdrop of the rapid development of generative artificial intelligence, helping users to improve their information screening ability and construct cognitive subjectivity in interaction is essential for promoting the development of an intelligent society. From the perspectives of generative technology, cognitive subject and information system, this study identifies the challenges that users face in screening information in interaction. It then analyses both the positive and negative influence mechanism of users' information screening ability. Based on this, this study proposes strategies to cultivate AI systems, enhance users' AI literacy and optimise the interaction mechanism from a socio-technical point of view. These strategis aim to activate users' deep processing mechanisms and inhibit tendency towards processing inertia. This study provides a theoretical explanation of the influence mechanism of information screening ability in the context of human-AI interaction, supporting the formulation of strategies to cultivate users' information screening ability.

Key words: Generative AI, Information screening, User information behaviour, AI literacy, Cultivation strategies

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