Modeling users' web search behavior and their cognitive styles
Article
Article Title | Modeling users' web search behavior and their cognitive styles |
---|---|
ERA Journal ID | 211713 |
18052 | |
Article Category | Article |
Authors | Kinley, Khamsum (Author), Tjondronegoro, Dian (Author), Partridge, Helen (Author) and Edwards, Sylvia (Author) |
Journal Title | American Journal of Information Science and Technology |
Journal of the Association for Information Science and Technology | |
Journal Citation | 65 (6), pp. 1107-1123 |
Number of Pages | 17 |
Year | 2014 |
Publisher | Science Publishing Group |
Place of Publication | United States |
ISSN | 2640-0588 |
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. |
Keywords | Web searching, User cognitive styles |
ANZSRC Field of Research 2020 | 460806. Human-computer interaction |
460508. Information retrieval and web search | |
Byline Affiliations | Queensland University of Technology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q478w/modeling-users-web-search-behavior-and-their-cognitive-styles
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