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Adaptation and Personalization of Web-Based Multimedia Content

Adaptation and Personalization of Web-Based Multimedia Content

Panagiotis Germanakos, Constantinos Mourlas
Copyright: © 2008 |Pages: 27
ISBN13: 9781599049533|ISBN10: 1599049538|EISBN13: 9781599049540
DOI: 10.4018/978-1-59904-953-3.ch115
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MLA

Germanakos, Panagiotis, and Constantinos Mourlas. "Adaptation and Personalization of Web-Based Multimedia Content." Multimedia Technologies: Concepts, Methodologies, Tools, and Applications, edited by Mahbubur Rahman Syed, IGI Global, 2008, pp. 1616-1642. https://doi.org/10.4018/978-1-59904-953-3.ch115

APA

Germanakos, P. & Mourlas, C. (2008). Adaptation and Personalization of Web-Based Multimedia Content. In M. Syed (Ed.), Multimedia Technologies: Concepts, Methodologies, Tools, and Applications (pp. 1616-1642). IGI Global. https://doi.org/10.4018/978-1-59904-953-3.ch115

Chicago

Germanakos, Panagiotis, and Constantinos Mourlas. "Adaptation and Personalization of Web-Based Multimedia Content." In Multimedia Technologies: Concepts, Methodologies, Tools, and Applications, edited by Mahbubur Rahman Syed, 1616-1642. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-953-3.ch115

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Abstract

A traditional multimedia system presents the same static content and suggests the same next page to all users, even though they might have widely differing knowledge of the subject. Such a system suffers from an inability to be all things to all people, especially when the user population is relatively diverse. The rapid growth of mobile and wireless communication allowed service providers to develop new ways of interactions, enabling users to become accustomed to new means of multimedia-based service consumption in an anytime, anywhere, and anyhow manner. This chapter investigates the new multi-channel constraints and opportunities emerged by these technologies, as well as the new user-demanding requirements that arise. It further examines the relationship between the adaptation and personalization research considerations, and proposes a three-layer architecture for adaptation and personalization of Web-based multimedia content based on the “new” user profile, with visual, emotional, and cognitive processing parameters incorporated.

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