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Task as a predictable indicator for information seeking behavior on the Web.

机译:任务作为Web上信息搜索行为的可预测指标。

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This dissertation examined how task influences information seeking behavior in the new digital information environment of the World Wide Web. There are three primary reasons for considering this issue: to understand the nature of people's information seeking tasks, to investigate the ways in which they attempt to execute tasks in their IR system interactions, and to facilitate the development and design of an IR system so that it serves people's task goals and buttresses their task-related information seeking behaviors. The specific goal for the study is to understand how people's interactions in digital environments are influenced by task. This study attempted to identify the types of task that represent Web users' diverse information needs. It also sought to understand how types of tasks connect to information seeking behaviors. Specifically, this study investigated how different types of tasks can be related to different searching behaviors.; Thirty students with backgrounds in Library and Information Science participated in this study in a laboratory setting. Three different types of tasks were derived from task attributes: factual task, interpretive task, and exploratory task. During the search, screen capture software recorded each subject's screen activity, which included movements made by the mouse, input by the subject, and system response. After completing each task, a post-search interview in an open-ended format was conducted to clarify actions and decisions taken during the search. The transcribed interviews were then content analyzed.; Five task attributes were confirmed from the results of this study: task structure, task goal, task topic, expected information, and expected source. It was found that such task attributes have a direct or mediating impact on information seeking behavior for those using the World Wide Web. There were significant differences in information searching interaction and information searching strategies between task types. Furthermore, task difficulty, topic knowledge, and searchers' demographic characteristics as mediating factors influenced the relationship between types of task and information seeking behavior on the Web. Implications for Web system design which could effectively support information seeking tasks are discussed in the conclusions.
机译:本文研究了任务如何影响万维网在新的数字信息环境中的信息搜索行为。考虑此问题的三个主要原因是:了解人们的信息搜索任务的性质,调查人们在其IR系统交互中尝试执行任务的方式,以及促进IR系统的开发和设计,以便它服务于人们的任务目标,并支持他们与任务相关的信息寻求行为。该研究的特定目标是了解人们在数字环境中的交互如何受任务影响。这项研究试图确定代表Web用户多样化信息需求的任务类型。它还试图了解任务类型如何与信息搜索行为联系在一起。具体而言,本研究调查了不同类型的任务如何与不同的搜索行为相关。 30名具有图书馆和信息科学背景的学生在实验室中参加了这项研究。从任务属性派生出三种不同类型的任务:事实任务,解释性任务和探索性任务。在搜索过程中,屏幕捕获软件记录了每个对象的屏幕活动,包括鼠标的移动,对象的输入以及系统响应。完成每项任务后,进行了开放式的搜索后采访,以澄清搜索过程中采取的行动和做出的决定。然后对转录的访谈内容进行分析。这项研究的结果确认了五个任务属性:任务结构,任务目标,任务主题,预期信息和预期来源。已经发现,此类任务属性对使用万维网的人员的信息搜索行为具有直接或中介的影响。任务类型之间的信息搜索交互和信息搜索策略存在显着差异。此外,任务难度,主题知识和搜索者的人口统计学特征作为中介因素影响了任务类型和Web上信息搜索行为之间的关系。结论中讨论了对Web系统设计的暗示,该暗示可以有效地支持信息搜索任务。

著录项

  • 作者

    Kim, Jeonghyun.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Library Science.; Information Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 211 p.
  • 总页数 211
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 图书馆学、图书馆事业;信息与知识传播;
  • 关键词

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