SODA

Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques

Belk, Marios and Papatheocharous, Efi and Germanakos, Panagiotis and Samaras, George (2013) Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques. Journal of Systems and Software , 86 (12). 2995 - 3012.

Full text not available from this repository.

Official URL: http://www.sciencedirect.com/science/article/pii/S...

Abstract

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 group users of particular cognitive style using measures obtained from psychometric tests and content navigation behavior. Three navigation metrics are proposed and utilized to find identifiable groups of users that have similar navigation patterns in relation to their cognitive style. The proposed work has been evaluated with two user studies which entail a psychometric-based survey for extracting the users’ cognitive styles, combined with a real usage scenario of users navigating in a controlled Web 2.0 environment. A total of 106 participants of age between 17 and 25 participated in the study providing interesting insights with respect to cognitive styles and navigation behavior of users. Studies like the reported one can be useful for modeling users and assist adaptive Web 2.0 environments to organize and present information and functionalities in an adaptive format to diverse user groups.

Item Type:Article
Uncontrolled Keywords:Web navigation behavior
ID Code:5775
Deposited By:Efi Papatheocharous
Deposited On:27 Nov 2014 10:07
Last Modified:27 Nov 2014 10:07

Repository Staff Only: item control page