图书情报知识 ›› 2026, Vol. 43 ›› Issue (1): 6-10.doi: 10.13366/j.dik.2026.01.006

• 特约稿 • 上一篇    下一篇

人工智能时代信息行为研究的探索与思考

潘煜1, 方俊兵1, 刘百灵2, 王伟军3,4   

  1. 1.上海外国语大学脑机协同信息行为教育部重点实验室,上海,201620;
    2.华中师范大学信息管理学院,武汉,430079;
    3.北京城市学院公共管理学部,北京, 100094;
    4.华中师范大学青少年网络心理与行为教育部重点实验室,武汉,430079
  • 出版日期:2026-01-10 发布日期:2026-03-24
  • 通讯作者: 王伟军(ORCID: 0000-0002-6077-1101),博士,教授,研究方向:网络心理与行为, Email: wangwj@ccnu.edu.cn。
  • 作者简介:潘煜(ORCID: 0000-0001-9455-0094),博士,教授,研究方向:信息行为、类脑智能计算,Email: 13311887777@163.com;方俊兵(ORCID: 0009-0009-6421-9515),博士生,研究方向:信息行为、类脑智能计算,Email: junbingfang@shisu.edu.cn;刘百灵(ORCID: 0000-0001-7825-5263),博士,教授,研究方向:用户信息行为、隐私保护、人智交互,Email: bl_liu@ccnu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金重大项目“人本人工智能驱动的信息服务体系重构与应用研究”(22&ZD324)的研究成果之一。

Exploration and Reflection on Information Behavior Research in the Era of Artificial Intelligence

PAN Yu1, FANG Junbing1, LIU Bailing2, WANG Weijun3,4   

  1. 1. Key Laboratory of Brain-Machine Intelligence for Information Behavior Ministry of Education, Shanghai International Studies University, Shanghai, 201620;
    2. School of Information Management, Central China Normal University, Wuhan, 430079;
    3. Department of Public Administration, Beijing City University, Beijing, 100094;
    4. Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Wuhan, 430079
  • Online:2026-01-10 Published:2026-03-24
  • Contact: Correspondence should be addressed to WANG Weijun, Email: wangwj@ccnu.edu.cn, ORCID: 0000-0002-6077-1101
  • Supported by:
    This is an outcome of the Major Project "Research on the Reconstruction and Application of Human-Centered AI-Driven Information Service Systems"(22&ZD324)supported by National Social Science Foundation of China.

摘要: 在人工智能时代,信息行为的内涵经历了深刻转变,从传统的“人找信息”逐步拓展到“人与智能体共塑的信息交互过程”。随着人工智能的发展路径从“算力驱动”向“认知驱动”演进,信息行为研究在精准性、可解释性与过程动态刻画等方面也面临更高要求,人智交互情境下的信息行为研究将遵循“发现规律—找寻动因—揭示机制—构建理论”发展脉络。本文系统梳理了人工智能时代人智交互情境下的信息行为研究方法,提出了与之相适应的研究新范式,并结合脑机协同信息行为的跨学科探索,进一步展望研究内容的核心变迁与未来议题,为构建面向数字文明的信息行为研究体系提供参考。

关键词: 人工智能, 信息行为, 研究范式, 认知智能

Abstract: In the era of artificial intelligence, the connotation of information behavior has undergone a profound transformation, gradually evolving from the traditional paradigm of "people seeking information" to a dynamic process of "information interaction co-shaped by humans and intelligent agents." As the development path of artificial intelligence shifts from "computing power-driven" to "cognitive intelligence-driven", the research on information behavior faces higher demands in terms of precision, interpretability, and the dynamic characterization of processes. Research on information behavior under human-AI interaction will follow the developmental trajectory of "discovering patterns - identifying motivations – unveiling mechanisms – constructing theories". This paper systematically reviews research methods in information behavior under human-AI interaction within the context of AI, proposes some new research paradigms suited to this context, and further explores the core shifts in research focus and emerging topics by incorporating interdisciplinary investigations into brain-computer collaborative information behavior. The aim is to provide a reference for constructing a research framework for information behavior oriented toward digital civilization.

Keywords: Artificial intelligence, Information behavior, Research paradigm, Cognitive intelligence