Modeling users’ web search behavior and their cognitive styles

Kinley, Khamsum, Tjondronegoro, Dian W., Partridge, Helen L., & Edwards, Sylvia L. (2014) Modeling users’ web search behavior and their cognitive styles. Journal of the American Society for Information Science and Technology, 65(6), pp. 1107-1123.

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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.

Impact and interest:

5 citations in Scopus
5 citations in Web of Science®
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ID Code: 65625
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Web searching, User cognitive styles
DOI: 10.1002/asi.23053
ISSN: 1532-2882
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 American Society for Information Science and Technology
Copyright Statement: This is a preprint of an article accepted for publication in Journal of the American Society for Information Science and Technology copyright (C) 2013 American Society for Information Science and Technology
Deposited On: 03 Jan 2014 05:00
Last Modified: 22 Jun 2017 19:16

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