Developing adaptive systems to fit individual aptitudes
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Usability and learning: evaluating the potential of educational software
Computers & Education
User analysis in HCI—the historical lessons from individual differences research
International Journal of Human-Computer Studies
UIST'007 (panel): where will we be ten years from now?
Proceedings of the 10th annual ACM symposium on User interface software and technology
Individual differences in a spatial-semantic virtual environment
Journal of the American Society for Information Science - Special topic issue: individual differences in virtual environments
Individual differences, hypermedia navigation, and learning: an empirical study
Journal of Educational Multimedia and Hypermedia
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INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
An approach to automatic evaluation of educational influence
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Designing intelligent tutors to adapt individual interaction
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
HCI Research for E-Learning: Adaptability and Adaptivity to Support Better User Interaction
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
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
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In order to advance personal learning experience it is crucial to overcome the one-size-fits-all approach in user interface design and increase the e-learning systems intelligent behavior. Recent research has confirmed that user individual characteristics must be taken into account to accomplish that goal. This paper identifies user features relevant for system's adaptation in general. Aiming to investigate affect of those features on users' learning outcomes in elearning environment in particular, an empirical study along with obtained results is reported as well.