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Individual differences in information seeking: The effects and interaction of spatial visualization and domain expertise.

机译:信息搜索中的个体差异:空间可视化和领域专业知识的影响和相互作用。

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摘要

Research in human computer interaction (HCI) has demonstrated that primary cognitive abilities, specifically spatial visualization ability (SVA), represent a powerful predictor of information-seeking success in electronic information systems. Individuals with low SVA take longer to complete tasks and experience more errors on first attempts to find information. Understanding the influences of SVA as well as its interaction with other aspects of individual differences, such as domain expertise, is critical to the design of systems intended to accommodate individual differences of users.; Thirty five participants, 23 males and 12 females, who were college seniors (n = 19) or greater including graduate students (n = 16), were assigned to groups based upon their self-reported membership in one of two specific disciplines: business (n = 26) or biology (n = 9). Using a median-split, participants were then assigned to groups based upon scores on tests of Spatial Visualization Ability (SVA). Each participant conducted five searches: one neutral search, two searches for business related information, and two searches for biology related information using the FirstSearch archival search tool.; A 2 x 2 factorial Analysis of Variance with one between-groups variable (high vs. low) SVA and one within-group variable (high vs. low domain expertise) indicated a significant main effect of SVA and Domain Expertise on time-to-first-article. There was no main effect for SVA on number-of-articles but there was a significant main effect of Domain Expertise on the number-of-articles found. There was no interaction between SVA and Domain Expertise.; Results of the study extend existing knowledge regarding the effects of SVA and domain expertise on information seeking and provide evidence in support of interface designs that are friendlier to information seekers who have low SVA.
机译:对人机交互(HCI)的研究表明,主要的认知能力,尤其是空间可视化能力(SVA),代表了电子信息系统中寻求信息成功的有力预测器。 SVA较低的人需要较长时间才能完成任务,并且在首次尝试查找信息时会遇到更多错误。了解SVA的影响及其与个人差异的其他方面(例如领域专业知识)的相互作用,对于旨在适应用户个人差异的系统设计至关重要。根据自己在两个特定学科之一中的自我报告成员资格,将35名参与者(23名男性和12名女性)为大学高年级(n = 19)或更高,包括研究生(n = 16),分为小组。 n = 26)或生物学(n = 9)。然后使用中位数拆分,根据空间可视化能力(SVA)测试的分数将参与者分配到各个组。每个参与者进行了五次搜索:一次是中性搜索,两次是与业务相关的信息搜索,另外两次是使用FirstSearch档案搜索工具搜索到生物学相关信息。对2个因素进行2 x 2阶乘方差分析,其中一个组间变量(高vs.低)SVA和一个组内变量(高vs.低域专业知识)表明,SVA和Domain Expertise对到达时间的重大影响第一篇。 SVA对文章数没有主要影响,但是Domain Expertise对发现的文章数有显着的主要影响。 SVA和Domain Expertise之间没有交互。研究结果扩展了有关SVA和领域专业知识对信息搜索的影响的现有知识,并提供了支持接口设计的证据,这些接口设计对SVA较低的信息搜索者更为友好。

著录项

  • 作者

    Downing, Ricard E.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Education Technology.; Education Educational Psychology.; Information Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 教育心理学;信息与知识传播;
  • 关键词

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