Augmented Reality Eye Tracking for Tram Driver Simulator Training: Concept, Implementation, and Early Feedback

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dc.abstract.enThis paper presents a novel approach to visual attention training for novice tram drivers by combining a tram driving simulator with eye-tracking-enabled Augmented Reality (AR) glasses. Based on previous eye-tracking studies and interviews with tram driving instructors, we identified issues related to the attention distribution of novice drivers. That is, we found that driver field-of-view areas critical to tram-driving safety, are often neglected by novices. For instance, such areas enable drivers to check the right-side mirror before turning right. The training system proposed here aims to direct novice visual attention to critical areas by highlighting overlooked regions, displaying directional arrows, or providing auditory cues from the left or right side. Integration of real-time eye tracking into AR glasses supports continuous monitoring of trainee gaze patterns, offering instructors valuable information on trainee visual behavior. Such real-time data allows for dynamic adaptation of training cues, ensuring that visual attention guidance is both relevant and personalized. The proposed system has the potential to enhance situational awareness among tram drivers.
dc.affiliationSzkoła Doktorska
dc.affiliationWydział Psychologii w Warszawie
dc.affiliationInstytut Psychologii
dc.conferenceEye Tracking Research and Applications 2025
dc.conference.countryJaponia
dc.conference.datefinish2025-05-29
dc.conference.datestart2025-05-26
dc.conference.placeTokyo
dc.conference.seriesEye Tracking Research and Applications
dc.conference.seriesshortcutETRA
dc.conference.shortcutETRA'25
dc.conference.weblinkhttps://etra.acm.org/2025/
dc.contributor.authorWarchoł-Jakubowska, Anna
dc.contributor.authorNowak, Adam
dc.contributor.authorRomanowski, Andrzej
dc.contributor.authorFjeld, Morten
dc.contributor.authorKrejtz, Izabela
dc.contributor.authorKrejtz, Krzysztof
dc.contributor.editorSugano, Yusuke
dc.contributor.editorKhamis, Mohamed
dc.contributor.editorChetouani, Aladine
dc.contributor.editorSidenmark, Ludwig
dc.contributor.editorBruno, Alessandro
dc.date.access2025-06-26
dc.date.accessioned2025-06-26T10:49:21Z
dc.date.available2025-06-26T10:49:21Z
dc.date.created2025-03-24
dc.date.issued2025-05-25
dc.description.accesstimeat_publication
dc.description.physical1-5
dc.description.versionfinal_published
dc.identifier.doi10.1145/3715669.3726850
dc.identifier.isbn9798400714870
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/1547
dc.identifier.weblinkhttps://dl.acm.org/doi/10.1145/3715669.3726850
dc.languageen
dc.pbn.affiliationpsychologia
dc.publisher.ministerialAssociation for Computing Machinery (ACM)
dc.relation.bookETRA '25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications
dc.relation.languageen
dc.rightsClosedAccess
dc.rights.explanationzamknięty dostęp
dc.rights.questionNo_rights
dc.share.monoOPEN_REPOSITORY
dc.subject.enaugmented reality
dc.subject.eneye tracking
dc.subject.ensimulator
dc.subject.ennovices
dc.subject.entraining
dc.subject.entram driver
dc.swps.sciencecloudsend
dc.titleAugmented Reality Eye Tracking for Tram Driver Simulator Training: Concept, Implementation, and Early Feedback
dc.title.journalProceedings of the 2025 Symposium on Eye Tracking Research and Applications
dc.typeMonographyChapterConference
dspace.entity.typeBook