Towards Effective Virtual Reality Learning Environments: Assessment of Information Processing and Learning through Eye Tracking

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dc.contributor.advisor Kasneci, Enkelejda (Prof. Dr.)
dc.contributor.author Stark, Philipp
dc.date.accessioned 2024-07-22T09:44:48Z
dc.date.available 2024-07-22T09:44:48Z
dc.date.issued 2024-07-22
dc.identifier.uri http://hdl.handle.net/10900/155304
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1553047 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-96637
dc.description.abstract Due to recent technological innovations, virtual reality (VR) has become a promising technology for systematically investigating learning in more authentic scenarios while simultaneously providing a controllable experimental setting. When bridging the gap between standardized lab experiments and real-life phenomena, eye tracking can be a rich source of information. Eye tracking can be instrumental for assessing information processing and learning in VR, and analyzing visual attention through eye tracking can provide valuable insights for creating effective virtual learning environments. However, investigating eye tracking in 3D environments also poses some challenges, including integrating head movement, acquiring gaze target information, and interpreting eye movements in relation to information processing and learning. This thesis addresses some of these challenges by proposing methodological and analytical solutions, including reliable measures of pupil diameter, gaze-ray casting, network analysis, gaze entropy, and machine-learning models. These approaches are used to measure information processing and learning through eye-tracking and explore the potential for modeling eye movements and visual attention. First, two standardized virtual experiments focus on processing and encoding information with 3D objects and measuring reliable pupil diameter baselines in VR. Second, the visual attention distribution in a virtual classroom is analyzed to understand the effects of the classroom environment and different teaching events on the students. In the last step, gaze-based attention networks are utilized to study the effect of social-related behavior on visual attention and learning in VR classrooms. This work contributes to expanding knowledge of VR research in education science and explores the possibilities of eye-tracking analysis in VR. The findings aim to offer insights into information processing and learning in virtual environments and contribute to developing effective virtual learning environments. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podno de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_ohne_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_ohne_pod.php?la=en en
dc.subject.ddc 004 de_DE
dc.title Towards Effective Virtual Reality Learning Environments: Assessment of Information Processing and Learning through Eye Tracking en
dc.type PhDThesis de_DE
dcterms.dateAccepted 2024-07-01
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.publikation.noppn yes de_DE

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