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Eye-tracking users' behavior in relation to Cognitive Style within an e-Learning environment

dc.contributor.authorTsianos, Nikosen
dc.contributor.authorGermanakos, Panagiotisen
dc.contributor.authorLekkas, Zachariasen
dc.contributor.authorMourlas, Constantinosen
dc.contributor.authorSamaras, George S.en
dc.creatorTsianos, Nikosen
dc.creatorGermanakos, Panagiotisen
dc.creatorLekkas, Zachariasen
dc.creatorMourlas, Constantinosen
dc.creatorSamaras, George S.en
dc.date.accessioned2019-11-13T10:42:33Z
dc.date.available2019-11-13T10:42:33Z
dc.date.issued2009
dc.identifier.isbn978-0-7695-3711-5
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/55099
dc.description.abstractEye-tracking measurements may be used as a method of identifying users' actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in order to validate the construct of cognitive style as a personalization parameter in adaptive e-Learning systems. The main research question was whether the verbalizer/ imager axis of the Cognitive Style Analysis theory reflects actual preferences in an e-learning environment and properly identifies learner types. The findings from a sample of 21 participants reveal statistically significant differences among types of learnersen
dc.description.abstractas hypothesized, imagers concentrate on visual content, verbalizers on text, while intermediates are placed in between. © 2009 IEEE.en
dc.sourceProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009en
dc.source2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70449428460&doi=10.1109%2fICALT.2009.110&partnerID=40&md5=2623be21f5a718f184b72cc16bddf99e
dc.subjectEducationen
dc.subjectHypermediaen
dc.subjectCognitive stylesen
dc.subjectMultimedia systemsen
dc.subjectStatistically significant differenceen
dc.subjectE-learningen
dc.subjectPersonalizationsen
dc.subjectVisual communicationen
dc.subjectImage sensorsen
dc.subjectCognitive systemsen
dc.subjectResearch questionsen
dc.subjectEye-trackingen
dc.subjectAdaptive e-learning systemsen
dc.subjectAnalysis theoryen
dc.subjectE-learning environmenten
dc.subjectEye-tracking measurementsen
dc.subjectImagersen
dc.subjectIn-betweenen
dc.subjectVisual contenten
dc.titleEye-tracking users' behavior in relation to Cognitive Style within an e-Learning environmenten
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ICALT.2009.110
dc.description.startingpage329
dc.description.endingpage333
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEE Computer Societyen
dc.description.notesIEEE Technical Committee on Learning Technologyen
dc.description.notesConference code: 78349en
dc.description.notesCited By :18</p>en
dc.contributor.orcidLekkas, Zacharias [0000-0003-2049-8187]
dc.gnosis.orcid0000-0003-2049-8187


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