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Modeling Users' Web Search Behavior and Their Cognitive Styles

机译:建模用户的Web搜索行为及其认知方式

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Previous studies have shown that users' cognitive styles play an important role during web searching. However, only a limited number of studies have showed the relationship between cognitive styles and web search behavior. Most importantly, it is not clear which components of web search behavior are influenced by cognitive styles. This article examines the relationships between users' cognitive styles and their web searching and develops a model that portrays the relationship. The study uses qualitative and quantitative analyses based on data gathered from 50 participants. A questionnaire was utilized to collect participants' demographic information, and Riding's (1991) Cognitive Styles Analysis (CSA) test to assess their cognitive styles. Results show that users' cognitive styles influenced their information-searching strategies, query reformulation behavior, web navigational styles, and information-processing approaches. The user model developed in this study depicts the fundamental relationships between users' web search behavior and their cognitive styles. Modeling web search behavior with a greater understanding of users' cognitive styles can help information science researchers and information systems designers to bridge the semantic gap between the user and the systems. Implications of the research for theory and practice, and future work, are discussed.
机译:先前的研究表明,用户的认知风格在网络搜索中起着重要作用。但是,只有有限的研究显示了认知风格与网络搜索行为之间的关系。最重要的是,尚不清楚网络搜索行为的哪些成分受认知风格的影响。本文研究了用户的认知风格与他们的网络搜索之间的关系,并开发了一个描述这种关系的模型。这项研究基于从50名参与者那里收集的数据进行了定性和定量分析。问卷被用来收集参与者的人口统计信息,Riding(1991)的认知风格分析(CSA)测试用来评估他们的认知风格。结果表明,用户的认知风格会影响他们的信息搜索策略,查询重新制定行为,Web导航风格和信息处理方法。本研究开发的用户模型描述了用户的网络搜索行为与其认知风格之间的基本关系。通过对用户的认知方式有更深入的了解来对网络搜索行为进行建模,可以帮助信息科学研究者和信息系统设计者弥合用户与系统之间的语义鸿沟。讨论了该研究对理论和实践以及未来工作的意义。

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    Information Systems School, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia;

    Information Systems School, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia;

    Information Systems School, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia;

    Information Systems School, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia;

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