Affective computing
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE
User Modeling and User-Adapted Interaction
Cognitive load in hypertext reading: A review
Computers in Human Behavior
Implementing Affect Parameters in Personalized Web-Based Design
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
The effects of personality type in user-centered appraisal systems
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Do cognitive styles of users affect preference and performance related to CAPTCHA challenges?
CHI '12 Extended Abstracts on Human Factors in Computing Systems
I-know my users: user-centric profiling based on the perceptual preference questionnaire (PPQ)
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Adaptive tutoring in an intelligent conversational agent system
Transactions on Computational Collective Intelligence VIII
Journal of Systems and Software
An adaptation algorithm for an intelligent natural language tutoring system
Computers & Education
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In order to clarify whether extending learners' profiles in an adaptive educational system to cognitive and emotional characteristics may have a positive effect on performance, we conducted an empirical study that consists of two subsequent experiments. The human factors that were taken into consideration in the personalization process were cognitive style, visual working memory span, control/speed of processing and anxiety. With the exception of control/speed of processing, matching the instructional style to users' characteristics was revealed to be statistically significant in optimizing their performance (n=219). On the basis of this empirical assessment, this paper argues that individual differences at this intrinsic level are important, and their main effect can be manipulated by taking advantage of adaptive technologies.