Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies | Date: 28 April 2011, 03:40
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Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies (Premier Reference Source)
By Constantinos Mourlas, Panagiotis Germanakos
* Publisher: Information Science Reference
* Number Of Pages: 452
* Publication Date: 2008-09-09
* ISBN-10 / ASIN: 1605660329
* ISBN-13 / EAN: 9781605660325
Product Description:
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:
Section I: Theoretical Aspects of Adaptive and Personalized User Interfaces
Chapter I: An Assessment of Human Factors in Adaptive Hypermedia Environments
Nikos Tsianos, National & Kapodistrian University of Athens, Greece
Panagiotis Germanakos, National & Kapodistrian University of Athens, Greece
Zacharias Lekkas, National & Kapodistrian University of Athens, Greece
Constantinos Mourlas, National & Kapodistrian University of Athens, Greece
George Samaras, University of Cyprus, Cyprus
User profiles serves as the main component of most Web personalization systems. With the use of various techniques that are based on given user preferences, navigation behaviour and the Web-based content returns the requested personalized result. Main scope of this chapter is to present the various techniques employed by such systems with regards to user profiles extraction and introduce a comprehensive user profile, which includes User Perceptual Preference Characteristics. It further analyzes the main intrinsic users’ characteristics like visual, cognitive, and emotional processing parameters incorporated as well as the “traditional” user profile characteristics that together tend to give the most optimized, adapted and personalized outcome. It finally presents a Web adaptation and personalization system that implements the proposed comprehensive user profile as well as evaluation results that further support their importance and impact in the information space.
Chapter II: Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation
Barry Smyth, University College Dublin, Ireland
Navigation, search, and recommendation each have their own set of challenges when it comes to facilitating fast and efficient information access. This chapter considers a number of these challenges and describes how they can be addressed by using techniques that allow information services to respond more intelligently to the needs and preferences of individuals and groups of users. Each challenge is being addressed in the form of a case study focusing on one particular mode of information access (navigation, search, and recommendation) and an application scenario (mobile portals, Web search, and e-commerce), to describe how user profiling, personalization, and adaptive interface design can be combined to produce a more efficient and effective information service.
Chapter III: The Effects of Human Factors on the Use of Web-Based Instruction
Sherry Y. Chen, Brunel University, Middlesex, UK
Web-based instruction is prevalent in educational settings, with many issues that still need to be investigated. One of them is the significance of human factors, and how they influence learners’ performance and perception in Web-based instruction. In this vein, the study presented in this chapter investigates this issue in a Web-based instructional program, which was applied to teach students how to use HyperText Markup Language (HTML) in a United Kingdom (UK) university.
Chapter IV: The Next Generation of Personalization Techniques
Gulden Uchyigit, Imperial College London, UK
Innovative personalization services are required to extend the traditional user profiling techniques with semantic-based information. Using semantic-based information provides additional clues as to the reasons the user may or may not be interested in certain objects. The primary goal of this chapter is to present a comprehensive overview of the state-of-the art techniques and methodologies which integrate personalization technologies with semantic knowledge, exploring the challenges that such research areas pose to today’s information society.
Section II: Adaptive Content and Services
Chapter V: Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services
Nancy Alonistioti, National & Kapodistrian University of Athens, Greece
Costas Polychronopoulos, National & Kapodistrian University of Athens, Greece
Makis Stamatelatos, National & Kapodistrian University of Athens, Greece
The diversity of service access contexts, which is inevitable in the era of pervasive, “anywhere” computing, and the co-existence of different technologies caused by the evolutionary character of the transition to next generation systems, will lead to the heterogeneity of the networks and systems that support end-user application provision. The current mobile communications paradigm was not built to support this evolution, and therefore this chapter supports that intelligent mechanisms should exist for identifying the context and the particular high-level requirements of an application and mapping them to appropriate reconfiguration operations on the underlying hardware and software infrastructure. To this end, context management, knowledge building and the respective decision making process are key factors for the service personalisation and system adaptation in future mobile communications. A need for middleware platforms, that will abstract this management load and complexity and enable an enduser seamless service experience, emerges.
Chapter VI: Intelligent Information Personalization: From Issues to Strategies
Syed Sibte Raza Abidi, Dalhousie University, Canada
Information users are different in nature—they manifest heterogeneous information seeking behaviours, needs and expectations. Yet, most information retrieval services purport a one size fits all model whereby the same information is disseminated to a wide range of information users despite the individualistic nature of each user’s needs, goals, interests, preferences, intellectual levels and information consumption capacity. This leads to a sub-optimal model because information users,who are intrinsically distinct, are not only compelled to experience a generic outcome but are further required to manually adjust and adapt the recommended information artifacts according to their immediate needs or preferences in order to achieve the desired results. Therefore, this chapter argues that there is both a case and the need to design information services that take into account the individuality of information users, and in turn aim to personalize the information seeking experiences and outcomes for users.
Chapter VII: A Semantically Adaptive Interface for Measuring Portal Quality in E-Government
Babis Magoutas, National Technical University of Athens, Greece
Christos Chalaris, National Technical University of Athens, Greece
Gregoris Mentzas, National Technical University of Athens, Greece
Citizens possess, amongst others, different access possibilities, skills, expectations and motivation, during their navigation to an e-government portal while searching for a public e-service or during the a
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