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Analysis and Comparison of the Gaze Behavior of E-Scooter Drivers and Cyclists

dc.contributor.authorTrefzger, Mathias
dc.contributor.authorTitov, Waldemar
dc.contributor.authorSchlegel, Thomas
dc.contributor.editorReussner, Ralf H.
dc.contributor.editorKoziolek, Anne
dc.contributor.editorHeinrich, Robert
dc.date.accessioned2021-01-27T13:33:12Z
dc.date.available2021-01-27T13:33:12Z
dc.date.issued2021
dc.description.abstractIn this paper, we contribute an eye tracking study to evaluate the gaze behavior of e-scooter drivers and cyclists on high and low quality road surfaces. We recorded the surface quality with sensors and put the different surfaces in relation to the gaze behavior. We recorded eye movements of the participants and performed an Area of Interest (AOI) sequence analysis to identify gaze patterns. Found sequences show that on the high quality surface participants focused most commonly the distant road section and then shifted to nearer sections. Individual advantageous gaze sequences are omitted if the surface is poor. We found a significant difference in the attention distribution of the two means of transport. In addition, we can confirm previous results showing that low quality road surfaces cause the gaze to shift forward. However, the participants did not adapt their speed to the worse surface.en
dc.identifier.doi10.18420/inf2020_108
dc.identifier.isbn978-3-88579-701-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34696
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-307
dc.subjectBicycle
dc.subjectE-Scooter
dc.subjectEye tracking
dc.subjectSensors
dc.subjectTraffic safety
dc.subjectVisual analytics
dc.titleAnalysis and Comparison of the Gaze Behavior of E-Scooter Drivers and Cyclistsen
gi.citation.endPage1180
gi.citation.startPage1163
gi.conference.date28. September - 2. Oktober 2020
gi.conference.locationKarlsruhe
gi.conference.sessiontitle1st Workshop on Evaluating Intelligent and Ubiquitous Mobility Systems

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