Individual differences and behavioral metrics involved in modeling web navigation

This paper presents an empirical study aiming at investigating individual differences and behavioral metrics involved in modeling web navigation. Factors that have an influence on web navigation behavior were identified with the aid of task analysis, and their relevance in predicting task outcomes (...

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Bibliographic Details
Published inUniversal access in the information society Vol. 4; no. 3; pp. 258 - 269
Main Authors Juvina, Ion, Oostendorp, Herre van
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Nature B.V 01.03.2006
Subjects
Behavior
Regression analysis
World Wide Web
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Summary:This paper presents an empirical study aiming at investigating individual differences and behavioral metrics involved in modeling web navigation. Factors that have an influence on web navigation behavior were identified with the aid of task analysis, and their relevance in predicting task outcomes (performance, satisfaction, perceived disorientation) was tested with the aid of multiple regression analysis. Several types of navigation metrics were calculated based on web logging data and used as indicators of user characteristics and task outcomes. Results show that spatial-semantic cognitive mechanisms seem to be crucial in adequately performing web navigation tasks. The fact that user characteristics and task outcomes can be estimated with reasonable accuracy based on navigation metrics suggests the possibility of building adaptive navigation support in web applications.[PUBLICATION ABSTRACT]
ISSN:1615-5289
1615-5297
DOI:10.1007/s10209-005-0007-7