DocumentCode :
3141090
Title :
Embracing Cognitive Aspects in Web Personalization Environments -- The AdaptiveWeb Architecture
Author :
Germanakos, Panagiotis ; Tsianos, Nikos ; Lekkas, Zacharias ; Mourlas, Constantinos ; Belk, Marios ; Samaras, George
Author_Institution :
Nat. & Kapodistrian Univ of Athens, Athens
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
430
Lastpage :
431
Abstract :
This paper presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focuses upon the creation of a comprehensive user profiling that combines parameters that analyze the most intrinsic users\´ characteristics like visual, cognitive, and emotional processing parameters as well as the "traditional" user profiling characteristics and together tend to give the most optimized adapted and personalized result to the user.
Keywords :
Internet; cognition; computer aided instruction; human factors; user modelling; AdaptiveWeb architecture; Web adaptation; Web personalization environments; cognitive aspects; e-learning environment; filtering element; intrinsic user characteristics; user profiling; Adaptive filters; Bandwidth; Batteries; Computer architecture; Computer science; Electronic learning; Information filtering; Information filters; Service oriented architecture; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
Type :
conf
DOI :
10.1109/ICALT.2007.137
Filename :
4281055
Link To Document :
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