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Human Factors in Web Adaptation and Personalization

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Human-Centred Web Adaptation and Personalization

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Research on modelling intrinsic human characteristics with the outer scope to enrich the adaptation and personalization process has matured noticeably over the past several years. Designers of adaptive interactive systems are now personalizing the hypermedia content to users’ needs and preferences by considering the inclusion of components that take into account cognitive and emotional factors, in an attempt to eradicate known difficulties that occur in traditional approaches. Cognition and emotions play a central role in guiding and regulating interactions, navigation, and learning behavior as well as in increasing performance, accuracy and satisfaction. This happens by modulating numerous cognitive and physiological activities to the benefit of the unique user. In this regards, in this chapter we discuss the theoretical assumptions and influence of dominant cognitive typologies, as well as the way that individuals process their emotions, during key HCI activities that support information processing, decision making, problem solving and learning. We further present methods of extraction and a number of implications that could provide a practical insight on the development of adaptation and personalization rules and designs. At this point we should bring into the reader’s attention that given the high complexity and vagueness of subsequent human constructs, the selection of the appropriate cognitive and/or affective theories and models should be primarily in accordance to the context, situation or the goals of each research.

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  1. Suite Engineering UX, Products & Innovation, SAP SE, Walldorf, Germany

    Panagiotis Germanakos

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Panagiotis Germanakos & Marios Belk

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  1. Panagiotis Germanakos
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Germanakos, P., Belk, M. (2016). Human Factors in Web Adaptation and Personalization. In: Human-Centred Web Adaptation and Personalization. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-28050-9_2

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