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Implementing Affect Parameters in Personalized Web-Based Design

  • Zacharias Lekkas
  • Nikos Tsianos
  • Panagiotis Germanakos
  • Constantinos Mourlas
  • George Samaras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5612)

Abstract

Researchers used to believe that emotional processes are beyond the scope of a scientific study. Recent advances in cognitive science and artificial intelligence, however, suggest that there is nothing mystical about emotional processes. Affective neuroscience and psychology have reported that human affect and emotional experience play a significant, and useful, role in human learning and decision making. Emotions are considered to play a central role in guiding and regulating learning, performance, behaviour and decision making, by modulating numerous cognitive and physiological activities. Our purpose is to improve learning performance and, most importantly, to personalize web-content to users’ needs and preferences, eradicating known difficulties that occur in traditional approaches. Affect parameters are implemented, by constructing a theory that addresses emotion and is feasible in Web-learning environments.

Keywords

affect emotions mood disposition regulation personalization decision-making learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Zacharias Lekkas
    • 1
  • Nikos Tsianos
    • 1
  • Panagiotis Germanakos
    • 2
    • 3
  • Constantinos Mourlas
    • 1
  • George Samaras
    • 3
  1. 1.Faculty of Communication and Media StudiesNational & Kapodistrian University of AthensAthensGreece
  2. 2.Department of Management and MISUniversity of NicosiaNicosiaCyprus
  3. 3.Computer Science DepartmentUniversity of CyprusNicosiaCyprus

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