Mourlas C., Germanakos P. (eds.) Intelligent User Interfaces. Adaptation and Personalization Systems and Technologies

IGI Global, 2009. — 453 p.The explosive growth in size and use of the World Wide Web as a communication medium has been enthusiastically adopted by the mass market. The new developments in ICT along with the growth of mobile and wireless communication allowed service providers to meet these challenges developing new ways of interactions through a variety of channels enabling users to become accustomed to new means of service consumption in an anytime, anywhere and anyhow manner. However, the nature of most information structures is static and complicated, and users often lose sight of the goal of their inquiry, look for stimulating rather than informative material, or even use the navigational features unwisely. Hence, a number of researchers and practitioners studied adaptivity and personalization to address the comprehension and orientation difficulties presented in such systems; to alleviate navigational difficulties and satisfy the heterogeneous needs of the users, allowing at the same time Web applications of this nature to survive.
During the last years there has been huge effort from researchers to identify the peculiarities of each user group, analyze and design methodologies and systems that could alter the given raw content, and deliver them up-to-date personalized information as such, or with regards to products or services. Nonetheless, to date, there has not been a concrete definition of personalization. So far, the many adaptive hypermedia and Web personalization solutions offering personalisation features seem to meet an abstract common goal: to provide users with what they want or need without expecting from them to ask for it explicitly. There is a necessity therefore for further consideration and analysis of parameters and contexts such as users’ intellectuality, mental capabilities, socio-psychological factors, emotional states and attention grabbing strategies to be extensively investigated. All these characteristics could affect the apt collection of users’ customization requirements and along with the ‘traditional’ user characteristics (i.e. name, age, education, experience, interests, etc.), to constitute a comprehensive user profile that serves as the ground element of most of these systems offering in return the best adaptive environments to their preferences and demands.
Besides the content and services, which figure as the main personalization substance, also processes and communication need to become adaptive. New systems need to adapt their execution at run time according to new system requirements and requests that arrive from a dynamic and complex runtime environment where other processes coexist and share the same resources. The network resources and protocols should adapt their transmission according to the communication needs and characteristics of the connection of the individual user. The mobility of the user, the variation of bandwidth during communication, the loose connections and the network congestion are some of the main factors that network adaptation should be taken into account.Section I Theoretical Aspects of Adaptive and Personalized User Interfaces
An Assessment of Human Factors in Adaptive Hypermedia Environments
Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation
The Effects of Human Factors on the Use of Web-Based Instruction
The Next Generation of Personalization Techniques
Section II Adaptive Content and Services
Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services
Intelligent Information Personalization: From Issues to Strategies
A Semantically Adaptive Interface for Measuring Portal Quality in E-Government
Ontology-Based Personalization of E-Government Services
Context and Adaptivity-Driven Visualization Method Selection
Section III Adaptive Processing and Communication
Integrating Semantic Knowledge with Web Usage Mining for Personalization
Adaptive Presentation and Scheduling of Media Streams on Parallel Storage Servers
Section IV Innovative Applications with Adaptive Behaviour
Impact of Cognitive Style on User Perception of Dynamic Video Content
Building Digital Memories for Augmented Cognition and Situated Support
Open Learner Modelling as the Keystone of the Next Generation of Adaptive Learning Environments
From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior
Using Emotional Intelligence in Personalized Adaptation
Section V Security, Privacy, and Personalization
Technical Solutions for Privacy-Enhanced Personalization