Implicit measures of lostness and success in web navigation
Interacting with Computers
Using a cognitive model to generate web navigation support
International Journal of Human-Computer Studies
Predicting and solving web navigation problems
Proceedings of the eighteenth conference on Hypertext and hypermedia
User Individual Differences in Intelligent Interaction: Do They Matter?
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
The Influence of Cognitive and Personality Characteristics on User Navigation: An Empirical Study
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Interacting with Computers
An integrated model of interaction experience for information retrieval in a Web-based encyclopaedia
Interacting with Computers
Enhancing the learning experience: preliminary framework for user individual differences
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
A cognitive-experiential approach to modelling web navigation
International Journal of Human-Computer Studies
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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.