User profiling in personalization applications through rule discovery and validation
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Personalization on the Net using Web mining: introduction
Communications of the ACM
mPERSONA: personalized portals for the wireless user: An agent approach
Mobile Networks and Applications
Stars in their eyes: what eye-tracking reveals about multimedia perceptual quality
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
A proposed ASD-Centric framework: the case of ASDAPT
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Understanding users' behavior with software operation data mining
Computers in Human Behavior
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Advances in Web-based oriented technologies and services are taking place with a considerable speed around the world. As communications and IT usage become an integral part of many people's lives and the available products and services become more varied and sophisticated, users expect to be able to personalize a service to meet their individual needs and preferences. Due to the heterogeneous users' needs and requirements, user modeling could be considered as a successful step towards the identification of users' preferences. However, could user profiling nowadays be considered complete enough? Are all the vital parameters of users' characteristics are taken into account in order for the Web-based systems to provide them with the most user-centric result? This paper introduces a comprehensive user profiling, incorporating the User Perceptual Preference Characteristics, that serves as the core element for filtering Web-based raw content. It further analyzes the main intrinsic users' characteristics like visual, cognitive, and emotional processing parameters as well as the ''traditional'' user profiling characteristics that together tend to give the most optimized, adapted and personalized result. It finally presents initial experimental results applied on the Educational field based on the abovementioned notions.