1. Human-Factor Driven Adaptive Web Environments – The AdaptiveWeb System Panagiotis Germanakos 1,3, Marios Belk 1, Zacharias Lekkas 2, Nikos Tsianos 2, Constantinos Mourlas 2, George Samaras 1 1 SCRAT research group, Department of Computer Science, University of Cyprus 2 Laboratory of New Technologies, Faculty of Communication and Media Studies, University of Athens 3 Department of Management and MIS, School of Business, University of Nicosia

2. This work introduces a framework for the dynamic reconstruction of any Web content based on human factors. Our approach provides a new comprehensive way of reconstructing Web content; that is creating a comprehensive user profile based on specific metrics of visual, cognitive and emotional processing parameters that have specific impact onto the information space. Any XHTML Web-site can be reconstructed and annotated based on an RDF schema that gives semantics to the providers content for the adaptation and personalization process. The AdaptiveWeb system - Introduction AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb

3. Comprehensive User Profile Creation User Perceptual Preference Characteristics Model AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb

4. Psychometric Tests for Creating the Profile Profile Construction AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb

5. Raw content environment before any personalization and adaptation is taking place eCommerce Environment (1) User wants to get personalized and adapted content. The user profile is mapped with the personalized content Personalized and adapted environment based on user’s comprehensive profile Analyst -> Tabbed Menu Imager -> Diagrammatical presentation of content “myNotepad” tool; temporary memory buffer for storing sections' summaries (low working memory)

6. Raw content environment before any personalization and adaptation is taking place eCommerce Environment (2) User wants to get personalized and adapted content. The user profile is mapped with the personalized content Personalized and adapted environment based on user’s comprehensive profile Verbalizer -> Textual content presentation Wholist -> Floating Menu

7. Evaluation Increase in Task accuracy Increase in Task completion time Increased User Satisfaction Increase in Comprehension Capabilities Evaluation of the system with more than 500 users! Results : Please visit our stand for more!... AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb