信息技术

多维情境视角下的移动搜索跨APP 行为模型构建及应用

  • 臧 岚 ,
  • 梁少博
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  • 1.臧 岚 (湖北大学文学院 武汉 430062)  2.梁少博 (武汉大学信息管理学院 湖北 430072;武汉大学人机交互与用户行为研究中心 湖北 430072) 
臧 岚,女,1992年生,湖北大学文学院讲师。 梁少博,男,1992年生,武汉大学信息管理学院讲师(通讯作者)。

网络出版日期: 2022-11-14

基金资助

本文系国家自然科学基金青年项目“基于情境视角的用户移动搜索跨应用行为策略与预测研究”(批准号:72104187)、湖北省博士后创新研究 岗位“交互式智能移动搜索行为建模与关键技术研究”和“中央高校基本科研业务费专项资金”资助项目的研究成果。

Construction and Application of Mobile Search Cross-APP Behavior Model from the Perspective of Multi-dimensional Context

  • Zang Lan ,
  • Liang Shaobo
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  • 1.Zang Lan (School of Chinese Language and Literatureat,Hubei University,Wuhan ,430062) 2. Liang Shaobo (School of Information Management,Wuhan University,Hubei,430072; Center for Studies of Human-Computer Interaction and User Behavior,Wuhan University,Hubei,430072)

Online published: 2022-11-14

摘要

[目的/意义]随着移动搜索场景的多元化,移动搜索中跨APP行为逐渐成为近年来信息检索领域关注的 话题。现有研究中相关行为理论模型的研究还较少,文章通过借鉴现有成果,从多维度情境要素的角度出发,构 建了移动搜索跨APP行为理论模型,以期对相关研究提供参考。[方法/过程]文章主要通过文献调查展开研究,结 合现有研究提出研究框架。[结果/结论]文章提出了基于情境的移动搜索跨APP行为模型,该模型从搜索行为、搜 索平台、用户要素、环境要素四个情境维度描述用户行为,并探讨了基于这一理论模型的实证研究设计,利用真实 用户实验的数据对该理论模型的合理性进行说明,讨论了该模型对提升用户移动搜索跨APP体验的应用价值,提 出了移动搜索跨APP行为预测系统设计思路。

本文引用格式

臧 岚 , 梁少博 . 多维情境视角下的移动搜索跨APP 行为模型构建及应用[J]. 情报资料工作, 2022 , 43(6) : 95 -103 . DOI: 10.12154/j.qbzlgz.2022.06.011

Abstract

[Purpose/significance] With the diversification of mobile search scenarios, cross-app behavior in mobile search has gradually become a topic of concern in information retrieval. There is still less research on the relevant be? havior theoretical model in the existing studies. By drawing on the current results and from the perspective of multi-di? mensional situational elements, this paper constructs a mobile search cross-app behavior theoretical model in order to provide reference for the relevant research. [Method/process] This paper mainly carries out the research through liter? ature investigation and combines the research framework with the existing research.[Result/conclusion] This paper proposed a context-based model of cross-app behavior in mobile search, which described user behavior from four con? textual dimensions: search behavior, search platform, user elements, and environmental elements. It also discusses the practical research design based on this theoretical model, discusses the application value to improve users' cross-app experience in mobile search, and puts forward the design idea of a cross-app behavior prediction system.
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