文章摘要
韦敏婷,王晋.任务特征对视频用户学习型搜索交互的影响研究[J].数字图书馆论坛,2025,21(5):30~39
任务特征对视频用户学习型搜索交互的影响研究
Influence of Task Characteristics on Learning-Oriented Search Interaction of Video Users
投稿时间:2025-04-24  
DOI:10.3772/j.issn.1673-2286.2025.05.004
中文关键词: 学习型搜索;交互式信息检索;任务类型;任务复杂度;学习效果;视频搜索行为
英文关键词: Learning-Oriented Search; Interactive Information Retrieval; Task Type; Task Complexity; Learning Effect; Video Search Behavior
基金项目:本研究得到云南大学研究生实践创新基金项目“任务类型和任务复杂度对视频用户学习型搜索交互的影响研究”(编号:ZC-24249114)资助。
作者单位
韦敏婷 云南大学历史与档案学院 
王晋 云南大学历史与档案学院 
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中文摘要:
      探究任务类型和任务复杂度两类任务特征如何影响学习型搜索情境下视频用户的交互行为及效果。综合运用实验法、问卷法和访谈法,以哔哩哔哩为测试平台,通过录屏的形式收集32名被试在用户与搜索引擎结果页面(U-SERP)交互阶段、用户与搜索内容(U-C)交互阶段的搜索交互行为数据,以用户与个人知识体系(U-PK)交互阶段的信息偶遇、知识记录、知识理解、知识增益评价视频用户学习型搜索交互效果。研究发现,任务复杂度对用户搜索交互行为的影响主要体现在U-SERP交互阶段,任务类型对用户搜索交互行为的影响主要体现在U-C交互阶段,且任务类型相较于任务复杂度,在U-PK交互阶段能产生更大影响。研究结论有助于提升用户的搜索交互体验和学习效果,并为优化视频检索平台的交互设计与用户服务功能提供启示。
英文摘要:
      This study aims to explore how two task characteristics—task type and task complexity—affect the interaction behaviors and effects of video users in learning-oriented search contexts. Using a comprehensive approach combining experimental methods, questionnaires, and interviews, the research employs bilibili as the test platform. Screen recordings are used to collect search behavior data from 32 participants during the user-search engine results page (U-SERP) interaction stage and the user-content (U-C) interaction stage. The interaction effects of video users’ learning-oriented search are evaluated from four dimensions in the user-personal knowledge (U-PK) interaction stage: information encountering, knowledge recording, knowledge comprehension, and knowledge gain. The study finds that task complexity primarily influences users’ search interaction behaviors during the U-SERP interaction stage, while task type has a more significant impact during the U-C interaction stage. Additionally, task type exerts a greater influence than task complexity during the U-PK interaction stage. The findings contribute to enhancing the search interaction experience and learning effects of users, and provide insights for optimizing the interaction design and user service functions of video retrieval platforms.
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