对话式搜索系统主动性对人智协作效果的影响研究

doi:10.13365/j.jirm.2025.04.042

信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (4): 42-55.doi: 10.13365/j.jirm.2025.04.042

• 专题·对话式搜索中的人智交互模式 • 上一篇下一篇

对话式搜索系统主动性对人智协作效果的影响研究

傅诗婷¹　姜婷婷^2,3　宋德凤²

1.华中师范大学信息管理学院，武汉，430079；　
2.武汉大学信息管理学院，武汉，430072；　
3.武汉大学信息资源研究中心，武汉，430072

出版日期:2025-07-26 发布日期:2025-08-31
作者简介:傅诗婷，博士，讲师，研究方向为人智交互、信息行为；姜婷婷（通讯作者），博士，教授，博士生导师，研究方向为人智交互、信息行为、用户体验度量、人本数据分析，Email: tij@whu.edu.cn；宋德凤，硕士研究生，研究方向为人智交互、人本数据分析。
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。

Research on the Influence of Initiative in Conversational Search Systems on Human-AI Collaboration

Fu Shiting¹　Jiang Tingting^2,3　Song Defeng²

1.School of Information Management, Central China Normal University, Wuhan,430079;　
2.School of Information Management, Wuhan University, Wuhan,430072;　
3.Center for Studies of Information Resources, Wuhan University, Wuhan,430072

Online:2025-07-26 Published:2025-08-31
About author:Fu Shiting, Ph.D, Lecturer, research interests include human-AI interaction, information behavior; Jiang Tingting(corresponding author), Ph.D, professor, research interests include human-AI interaction, information behavior, user experience measurement, human-centered data analysis, Email:tij@whu.edu.cn; Song Defeng, master candidate, research interests include human-AI interaction, human-centered data analysis.
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/Abstract

摘要： 本研究聚焦于对话式搜索系统（Conversational search system, CSS）的主动性特征，提取了澄清、建议、披露三类CSS主动交互策略，构建了支持混合主动交互的CSS，将其与用户主动交互的CSS对比。实验结果表明，CSS主动性能够显著提高搜索结果的内在质量、情景质量、形式质量，提升系统的易用性与社会临场感，增强用户对系统的信任度与感知任务吸引力，并且团队共识水平在所有影响路径中均具有显著中介作用。研究结果为CSS的主动交互设计提供了理论基础与实践启示。

关键词: 对话式搜索, 混合主动, 主动交互, 人智协作, 人智交互, 协作效果

Abstract: This study examines the role of proactivity in conversational search systems (CSS), identifying three key proactive interaction strategies, i.e., clarification, suggestion and disclosure.A mixed-initiative CSS was developed based on these strategies and compared with a user-initiative CSS. Experimental results showed that proactive CSS significantly improved the intrinsic, contextual, and representation quality of search results, enhanced system usability and social presence, and increased user trust and task attraction. Team consensus consistently mediated these effects. The findings offer both theoretical and practical insights for designing proactive CSS.

Key words: Conversational search, Mixed-initiative, Proactive interaction, Human-AI collaboration, Human-AI interaction, Collaboration effectiveness

中图分类号:

G250

傅诗婷　姜婷婷　宋德凤. 对话式搜索系统主动性对人智协作效果的影响研究[J]. 信息资源管理学报, 2025, 15(4): 42-55.

Fu Shiting　Jiang Tingting　Song Defeng. Research on the Influence of Initiative in Conversational Search Systems on Human-AI Collaboration[J]. Journal of Information Resources Management, 2025, 15(4): 42-55.

[1]	赵一鸣　余馨婕　陈忆金　张鑫　杨云鹤. AIGC环境下对话式搜索与传统搜索的用户行为及学习效果比较研究[J]. 信息资源管理学报, 2025, 15(4): 56-71.
[2]	孟高慧　刘畅. 对话式搜索行为研究综述：范式定位、模型构建与行为刻画[J]. 信息资源管理学报, 2025, 15(4): 24-41.
[3]	许浩　程卿玄　董晶　吴丹　田丽. 人智交互中的AI世代：缘起、特征与未来展望[J]. 信息资源管理学报, 2025, 15(1): 13-20.

对话式搜索系统主动性对人智协作效果的影响研究

Research on the Influence of Initiative in Conversational Search Systems on Human-AI Collaboration

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

编辑推荐

Metrics

本文评价