Comprehensive User Profile Creation User Perceptual Preference Characteristics Model AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb
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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
Transcript
Human-Factor Driven Adaptive Web Environments – The AdaptiveWeb System
1SCRAT research group, Department of Computer Science, University of Cyprus2Laboratory of New Technologies, Faculty of Communication and Media Studies, University of
Athens3Department of Management and MIS, School of Business, University of Nicosia
• 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
Comprehensive User Profile Creation
User Perceptual Preference Characteristics Model
AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb
Psychometric Tests for Creating the Profile
Profile Construction
AdaptiveWeb: www4.cs.ucy.ac.cy/adaptiveweb
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 contentPersonalized 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)
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 contentPersonalized and adapted environment based on user’s comprehensive profile
Verbalizer -> Textual content presentation
Wholist -> Floating Menu
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!
