Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies, 1st Edition

  • P. Germanakos
  • C. Mourlas
  • Published By:
  • ISBN-10: 1605660337
  • ISBN-13: 9781605660332
  • DDC: 004.019
  • Grade Level Range: College Freshman - College Senior
  • 457 Pages | eBook
  • Original Copyright 2008 | Published/Released November 2009
  • This publication's content originally published in print form: 2008

  • Price:  Sign in for price



The field of intelligent user interfaces has received great attention from the research community in the last few years with the explosion of new applications and services designed to be executed in a dynamic and continuously changing environment and aligned to the demands and preferences of the users. "Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies" innovatively combines broad research areas in intelligent user interfaces to provide an authoritative, comprehensive review of recent studies, state-of-the-art applications, and new methodologies and theories that support the issue of adaptation and personalization in various application levels.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
1: Theoretical Aspects of Adaptive and Personalized User Interfaces.
2: An Assessment of Human Factors in Adaptive Hypermedia Environments.
3: Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation.
4: The Effects of Human Factors on the Use of Web-Based Instruction.
5: The Next Generation of Personalization Techniques.
6: Adaptive Content and Services.
7: Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services.
8: Intelligent Information Personalization: From Issues to Strategies.
9: A Semantically Adaptive Interface for Measuring Portal Quality in E-Government.
10: Ontology-Based Personalization of E-Government Services.
11: Context and Adaptivity-Driven Visualization Method Selection.
12: Adaptive Processing and Communication.
13: Integrating Semantic Knowledge with Web Usage Mining for Personalization.
14: Adaptive Presentation and Scheduling of Media Streams on Parallel Storage Servers.
15: Innovative Applications with Adaptive Behaviour.
16: Impact of Cognitive Style on User Perception of Dynamic Video Content.
17: Building Digital Memories for Augmented Cognition and Situated Support.
18: Open Learner Modelling as the Keystone of the Next Generation of Adaptive Learning Environments.
19: From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior.
20: Using Emotional Intelligence in Personalized Adaptation.
21: Security, Privacy, and Personalization.
22: Technical Solutions for Privacy-Enhanced Personalization.
Compilation of References.
About the Contributors.