Logo des Repositoriums
 

Investigating Eye-Tracking in 3rd Party Off-the-Shelve Software

dc.contributor.authorIgbudu, Mary
dc.contributor.authorTümler, Johannes
dc.contributor.editorMandausch, Martin
dc.contributor.editorHenning, Peter A.
dc.date.accessioned2023-01-13T13:11:54Z
dc.date.available2023-01-13T13:11:54Z
dc.date.issued2022
dc.description.abstractEye-tracking and its uses to assess visual attention in head-mounted displays opens many possibilities for virtual reality experiences. Eye-tracking in virtual reality can reveal what is behind an individual’s subconscious reaction and behavior when interacting with environments Several Virtual Reality headsets have integrated eye-tracking capabilities. In order to use the eye-tracking feature, it usually is necessary to implement specific SDKs into the Virtual Reality software. The focus of this paper is to present an approach to use such systems to investigate eye-tracking data in third party off-the-shelve Virtual Reality software without integration of specific SDKs. Also investigated is the measurement and forecasting of user performance based on the eye-tracking data. A randomized controlled study was conducted with 20 participants. They used the Varjo VR-2 head-mounted display with integrated eye-tracking capabilities in a biomedical teaching application. The method proved to be successful. A link was found between visual attention and educational outcomes in biomedical training with a positive and strong correlation.en
dc.identifier.doi10.18420/delfi2022-ws-14
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39939
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2022
dc.relation.ispartofseriesDELFI
dc.subjectEye-tracking
dc.subjectVirtual reality
dc.subjectcardiac anatomy
dc.subjectVarjo VR-2
dc.subjectHead mounted display
dc.subjectFixation
dc.subjectGaze
dc.titleInvestigating Eye-Tracking in 3rd Party Off-the-Shelve Softwareen
dc.typeText/Conference Paper
gi.citation.endPage55
gi.citation.publisherPlaceBonn
gi.citation.startPage47
gi.conference.date12.-14. September 2022
gi.conference.locationKarlsruhe
gi.conference.sessiontitleDELFI: Workshop
gi.document.qualitydigidoc

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
DELFI 2022 Workshops-14-Mary Igbudu und Johannes Tuemler.pdf
Größe:
446.35 KB
Format:
Adobe Portable Document Format