Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (4): 80-86.doi: 10.13365/j.jirm.2025.04.080

Previous Articles     Next Articles

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.

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

CLC Number: