信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (4): 24-41.doi: 10.13365/j.jirm.2025.04.024

• 专题·对话式搜索中的人智交互模式 • 上一篇    下一篇

对话式搜索行为研究综述:范式定位、模型构建与行为刻画

孟高慧 刘畅   

  1. 北京大学信息管理系,北京,100871
  • 出版日期:2025-07-26 发布日期:2025-08-31
  • 作者简介:孟高慧,博士研究生,研究方向为用户信息行为、交互式信息检索;刘畅(通讯作者),博士,长聘副教授,博导,研究方向为用户信息行为、交互式信息检索,Email: imliuc@pku.edu.cn。
  • 基金资助:
    本文系国家社科基金重大项目“人本人工智能驱动的信息服务体系重构与应用研究”(22&ZD325)的研究成果之一。

A Review of the Behavioral Research on Conversational Search: Defining the Paradigm, Constructing Models, and Characterizing Behaviors

Meng Gaohui Liu Chang   

  1. Department of Information Management, Peking University, Beijing, 100871
  • Online:2025-07-26 Published:2025-08-31
  • About author:Meng Gaohui, Ph.D. candidate, specializing in information behavior and interactive information retrieval; Liu Chang (corresponding author), Ph. D., tenured associate professor, doctoral advisor, specializing in information behavior and interactive information retrieval, Email: imliuc@pku.edu.cn.
  • Supported by:
    This work is supported by the Major Project of the National Social Science Fund of China titled "Research on the Reconstruction and Application of Information Service System Driven by Human-Centered Artificial Intelligence"(22&ZD325).

摘要: 在生成式人工智能(GenAI)浪潮带来的发展转折点上,围绕对话式搜索行为研究展开全面综述,以审视新范式如何改变人们对搜索行为的传统认知,梳理该领域的发展现状与局限,并为未来研究提供有价值的方向。通过归纳总结现有文献在界定对话式搜索中人机交互方式的整体特点、建模用户与代理的行为类别及发展过程、刻画用户或代理的行为特征及关联因素三个方面的研究进展,指出此前研究的主要局限在于研究对象较少涵盖推进客观对话行动的认知和情感活动,研究场景多被限制于人人对话的模拟场景中,以及研究主题少有涉及用户行为表现评价和能力提升。未来研究应继承和发展交互式信息检索领域的认知研究范式,将研究场景拓展至GenAI场景下的真实人机对话中,并将评估以发现更优的用户行为模式作为新的研究重点。

关键词: 对话式搜索, 搜索行为, 行为模型, 关联因素, 文献综述

Abstract: At the developmental turning point brought by the generative artificial intelligence (GenAI) wave, this paper provides a comprehensive review of research on conversational search behavior. It examines how the new paradigm transforms traditional perceptions of search behavior, summarizes the current state and limitations of this field, and offers valuable research directions for future studies. By reviewing the research progress in defining the overall characteristics of human-computer interaction, modeling the behavior categories and development processes of users and agents, and characterizing the behavior features and related factors of users or agents in conversational search, it argues that the main limitations of previous studies are that research objects seldom cover the cognitive and emotional activities that drive objective dialogue actions, research scenarios are mostly limited to simulated human-human dialogue scenarios, and research topics rarely involve the evaluation of user behavior performance and the enhancement of user capabilities. Future research should inherit and develop the cognitive research paradigm in the field of interactive information retrieval, expand the research scenarios to real human-computer dialogues under the GenAI scenario, and focus on evaluating and discovering better user behavior patterns.

Key words: Conversational search, Search behavior, Behavior model, Relevant factor, Literature review

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