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A study of social navigation support under different situational and personal factors.

机译：对不同情况和个人因素下的社交导航支持的研究。

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摘要

"Social Navigation" for the Web has been created as a response to the problem of disorientation in information space. It helps by visualizing traces of behavior of other users and adding social affordance to the information space. Despite the popularity of social navigation ideas, very few studies of social navigation systems can be found in the research literature. In this dissertation, I designed and carried out an experiment to explore the effect of several factors on social navigation support (SNS). The purpose of the experiment was to identify situations under which social navigation is most useful and to investigate the effect of personal factors, e.g., interpersonal trust, and gender on the likelihood of following social navigation cues. To gain a deeper insight into the effect of SNS on users' information seeking behavior, traditional evaluation methodologies were supplemented with eye tracking. The results of the study show that social navigation cues affect subjects' search behavior; specifically, while under time pressure subjects were more likely to use SNS. SNS was successful in guiding them to relevant documents and allowed them to achieve higher search performance. Reading abilities and interpersonal trust had a reliable effect on the SNS-following behavior and on subjects' subjective opinion about SNS. The effect of the gender was less pronounced than expected, contrary to the evidence in the literature.
机译：已创建Web的“社交导航”，以解决信息空间迷失方向的问题。它通过可视化其他用户的行为痕迹并向信息空间添加社交功能来提供帮助。尽管社会导航思想很流行，但是在研究文献中却很少找到有关社会导航系统的研究。本文设计并进行了一项实验，探讨了多种因素对社交导航支持（SNS）的影响。实验的目的是确定社交导航最有用的情况，并调查个人因素（例如人际信任和性别）对遵循社交导航线索的可能性的影响。为了更深入地了解SNS对用户信息搜索行为的影响，传统的评估方法还辅以眼动追踪。研究结果表明，社交导航提示会影响对象的搜索行为；具体而言，在时间压力下，受试者更有可能使用SNS。 SNS成功地将其引导至相关文档，并获得了更高的搜索性能。阅读能力和人际信任度对SNS跟随行为和受试者对SNS的主观评价具有可靠的影响。与文献中的证据相反，性别的影响没有预期的那么明显。

著录项

  • 作者

    Farzan, Rosta.;

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Engineering Computer.;Information Technology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:29

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