图书情报工作

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2025 , Vol. 69 >Issue 8: 117 - 130

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.08.011

研究论文

任务视角下用户单/多模态网络健康信息选择与个性化搜索研究

  • 章小童 ,
  • 李月琳 ,
  • 张书涵 ,
  • 李一鸣
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  • 1 西南大学商贸学院信息管理与信息系统系 重庆 402460;
    2 南开大学商学院信息资源管理系 天津 300071;
    3 南开大学信息行为科学研究中心 天津 300071
章小童，讲师，博士；李月琳，教授，博士，通信作者，E-mail:yuelinli@nankai.edu.cn；张书涵，博士研究生；李一鸣，硕士。

收稿日期: 2024-07-18

  修回日期: 2024-10-31

  网络出版日期: 2025-04-10

基金资助

本文系重庆市社会科学规划项目（博士项目）“基于用户交互的高质量网络健康信息获取路径及其影响因素研究”（项目编号：2022BS031）和西南大学中央高校基本科研业务费专项资金项目“基于用户交互的网络健康信息搜索行为引导机制研究”（项目编号SWU2309706）研究成果之一。

收起

Research on User Preference for Single/Multi-modal Online Health Information and Personalized Search from the Perspective of Tasks

  • Zhang Xiaotong ,
  • Li Yuelin ,
  • Zhang Shuhan ,
  • Li Yiming
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  • 1 Department of Information Management and Information System, Business College of Southwest University, Chongqing 402460;
    2 Department of Information Resource Management, Business School, Nankai University, Tianjin 300071;
    3 Research Center for Information Behavior, Nankai University, Tianjin 300071
Zhang Xiaotong,lecturer,PhD;Li Yuelin,professor,PhD,corresponding author,E-mail:yuelinli@nankai.edu.cn;Zhang Shuhan,doctoral candidate;Li Yiming,master candidate.

Received date: 2024-07-18

  Revised date: 2024-10-31

  Online published: 2025-04-10

Supported by

This work is supported by the Chongqing Social Science Planning Project (Doctoral Project) titled “Research on the High-Quality Online Health Information Acquisition Path and Its Influencing Factors Based on User Interaction” (Grant No. 2022BS031), Fundamental Research Funds for the Central Universities of Ministry of Education of China project titled “Research on the Behavior Guidance Mechanism for Online Health Information Search Based on User Interaction” (Grant No. SWU2309706)

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摘要

[目的/意义] 探究多元属性任务类型及其分面属性对用户选择不同模态网络健康信息偏好的影响作用，进而为个性化健康信息搜索服务设计，特别是生成式AI技术环境下面向健康任务的个性化信息搜索服务，提供思考路径。[方法/过程] 基于任务分面分类理论与模拟仿真工作任务，设计一项准实验，共招募64名参与者，收集3 497条有效健康信息数据，采用Fisher精确概率检验分析了用户在执行不同类型健康任务时对单/多模态网络健康信息选择的差异，并采用Z检验进行事后比较分析。[结果/结论] 研究发现，用户搜索网络健康信息时倾向选择少数几种单/多模态信息，选择行为具有较强收敛性；不同类型健康任务在文本信息、文本—语音信息、文本—图像信息、文本—图像—视频、文本—视频等单/多模态健康信息选择比例上有显著差异；基于分析结果，研究提出了关于健康任务类型—信息模态偏好初步理论模型。

关键词： 多模态信息; 网络健康信息; 多元属性任务; 用户选择偏好; 健康信息搜索

本文引用格式

章小童 , 李月琳 , 张书涵 , 李一鸣 . 任务视角下用户单/多模态网络健康信息选择与个性化搜索研究[J]. 图书情报工作, 2025 , 69(8) : 117 -130 . DOI: 10.13266/j.issn.0252-3116.2025.08.011

Abstract

[Purpose/Significant] This study explores the impact of multi-attribute task types and their faceted attributes on users’ preferences for selecting different models of online health information. Furthermore, it provides a path for the design of personalized health information search, especially in the context of generative AI technology. [Method/Process] Based on the task-faceted classification theory and simulated work tasks, a quasi-experiment was designed. A total of 64 participants were recruited, and 3 497 pieces of valid health information were collected. The Fisher’s precision probability test was employed to analyze the differences in selecting single/multi-modal online health information among different types of tasks, and the Z-test was used for post-hoc analysis. [Result/Conclusion] The results show that users tend to select a limited number of single/multi-modal information when searching for online health information, with a strong convergence in their selection behavior. Different types of health tasks have significant differences in the selection ratios of single/multi-modal health information, such as text-only, text-audio, text-image, text-image-video and text-video. Based on the results, the study further proposes a preliminary theoretical model of health task type-information modality preference.

Key words： multimodal information; online health information; multi-attribute task; user selection preference; health information search

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