Investigating the relation between users' cognitive style and web navigation behavior with k-means clustering
Source31st International Conference on Conceptual Modeling, ER 2012
Google Scholar check
MetadataShow full item record
This paper focuses on modeling users' cognitive style based on a set of Web usage mining techniques on navigation patterns and clickstream data. Main aim is to investigate whether k-means clustering can group users of particular cognitive style using measures obtained from a series of psychometric tests and content navigation behavior. Three navigation metrics are proposed and used to find identifiable groups of users that have similar navigation patterns in relation to their cognitive style. The proposed work has been evaluated with a user study which entailed a psychometric-based method for extracting the users' cognitive styles, combined with a real usage scenario of users navigating in a controlled Web environment. A total of 22 participants of age between 20 and 25 participated in the reported study providing interesting insights with respect to cognitive styles and navigation behavior of users. © 2012 Springer-Verlag.
Showing items related by title, author, creator and subject.
Soteris, Stylianou; Chrysanthou, Yiorgos L. (2006)Pedestrians implicitly cooperate by forming lanes inside dense crowd in order to facilitate flow and prevent complete passage blocking. Our aim is to re-enforce this self-organization phenomenon in dense crowd for the ...
Data-driven user profiling to support web adaptation through cognitive styles and navigation behavior Germanakos, Panagiotis; Papatheocharous, Efi; Belk, Marios; Samaras, George S. (2012)This paper aims to analyze human navigation behavior and identify similarities of cognitive styles using measures obtained from psychometric tests. Specific navigation metrics are utilized to find identifiable groups of ...
Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques Belk, Marios; Papatheocharous, Efi; Germanakos, Panagiotis; Samaras, George S. (2013)This paper focuses on modeling users' cognitive styles based on a set of Web usage mining techniques on user navigation patterns and clickstream data. Main aim is to investigate whether specific clustering techniques can ...