Modeling users' web search behavior and their cognitive styles

Article

Kinley, Khamsum, Tjondronegoro, Dian, Partridge, Helen and Edwards, Sylvia. 2014. "Modeling users' web search behavior and their cognitive styles." American Journal of Information Science and Technology. 65 (6), pp. 1107-1123. https://doi.org/10.1002/asi.23053
Article Title

Modeling users' web search behavior and their cognitive styles

ERA Journal ID211713
18052
Article CategoryArticle
AuthorsKinley, Khamsum (Author), Tjondronegoro, Dian (Author), Partridge, Helen (Author) and Edwards, Sylvia (Author)
Journal TitleAmerican Journal of Information Science and Technology
Journal of the Association for Information Science and Technology
Journal Citation65 (6), pp. 1107-1123
Number of Pages17
Year2014
PublisherScience Publishing Group
Place of PublicationUnited States
ISSN2640-0588
1532-2882
1532-2890
2330-1635
2330-1643
Digital Object Identifier (DOI)https://doi.org/10.1002/asi.23053
Web Address (URL)http://onlinelibrary.wiley.com/doi/10.1002/asi.23053/abstract;jsessionid=9C22E628289A6FFFF02D8E097D6FB334.f02t02
Abstract

Previous studies have shown that users’ cognitive styles play an important role during Web searching. However, only limited 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 paper 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 to inform the study results based on data gathered from 50 participants. A questionnaire was utilised to collect participants’ demographic information, and Riding’s (1991) Cognitive Style Analysis (CSA) test to assess their cognitive styles. Results show that users’ cognitive styles influenced their information searching strategies, query reformulation behaviour, 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 user’s 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.

KeywordsWeb searching, User cognitive styles
ANZSRC Field of Research 2020460806. Human-computer interaction
460508. Information retrieval and web search
Byline AffiliationsQueensland University of Technology
Institution of OriginUniversity of Southern Queensland
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