Show simple item record

dc.contributor.authorLekkas, Zachariasen
dc.contributor.authorTsianos, Nikosen
dc.contributor.authorGermanakos, Panagiotisen
dc.contributor.authorMourlas, Constantinosen
dc.contributor.authorSamaras, George S.en
dc.creatorLekkas, Zachariasen
dc.creatorTsianos, Nikosen
dc.creatorGermanakos, Panagiotisen
dc.creatorMourlas, Constantinosen
dc.creatorSamaras, George S.en
dc.date.accessioned2019-11-13T10:40:57Z
dc.date.available2019-11-13T10:40:57Z
dc.date.issued2009
dc.identifier.issn0302-9743
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54378
dc.description.abstractResearchers 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. © 2009 Springer Berlin Heidelberg.en
dc.source13th International Conference on Human-Computer Interaction, HCI International 2009en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70350310321&doi=10.1007%2f978-3-642-02580-8_35&partnerID=40&md5=174e60475355d68e6f65fbbb0de9c20f
dc.subjectEducationen
dc.subjectLearningen
dc.subjectRegulationen
dc.subjectDecision makingen
dc.subjectArtificial intelligenceen
dc.subjectEmotionsen
dc.subjectAffecten
dc.subjectHuman computer interactionen
dc.subjectPersonalizationen
dc.subjectKnowledge managementen
dc.subjectDecision-makingen
dc.subjectDispositionen
dc.subjectMooden
dc.titleImplementing affect parameters in personalized web-based designen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/978-3-642-02580-8_35
dc.description.volume5612 LNCSen
dc.description.issuePART 3en
dc.description.startingpage320
dc.description.endingpage329
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Conference code: 77085en
dc.description.notesCited By :2</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidLekkas, Zacharias [0000-0003-2049-8187]
dc.gnosis.orcid0000-0003-2049-8187


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record