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Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving

dc.contributor.authorRiegler, Andreas
dc.contributor.authorWintersberger, Philipp
dc.contributor.authorRiener, Andreas
dc.contributor.authorHolzmann, Clemens
dc.date.accessioned2019-08-14T09:13:33Z
dc.date.available2019-08-14T09:13:33Z
dc.date.issued2019
dc.description.abstractIncreasing vehicle automation presents challenges as drivers of highly automated vehicles become more disengaged from the primary driving task. However, even with fully automated driving, there will still be activities that require interfaces for vehicle-passenger interactions. Windshield displays are a technology with a promising potential for automated driving, as they are able to provide large content areas supporting drivers in non-driving related activities. However, it is still unknown how potential drivers or passengers would use these displays. This work addresses user preferences for windshield displays in automated driving. Participants of a user study (N=63) were presented two levels of automation (conditional and full), and could freely choose preferred positions, content types, as well as size, transparency levels and importance levels of content windows using a simulated “ideal” windshield display. We visualized the results in form of heatmap data which show that user preferences differ with respect to the level of automation, age, gender, or environment aspects. These insights can help designers of interiors and in-vehicle applications to provide a rich user experience in highly automated vehicles.en
dc.identifier.doi10.1515/icom-2018-0033
dc.identifier.pissn1618-162X
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24447
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofi-com: Vol. 18, No. 2
dc.subjectwindshield displays
dc.subjecthead-up displays
dc.subjectuser preferences
dc.subjectautomated driving
dc.subjectheatmaps
dc.titleAugmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Drivingen
dc.typeText/Journal Article
gi.citation.endPage149
gi.citation.publisherPlaceBerlin
gi.citation.startPage127
gi.conference.sessiontitleResearch Article

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