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dc.contributor.authorAvramidis, Mario
dc.contributor.authorKellner, Christiane
dc.contributor.authorStaudt, Josefine
dc.contributor.authorZimmermann, Verena
dc.contributor.authorGerber, Nina
dc.contributor.editorWienrich, Carolin
dc.contributor.editorWintersberger, Philipp
dc.contributor.editorWeyers, Benjamin
dc.date.accessioned2021-09-05T18:56:34Z
dc.date.available2021-09-05T18:56:34Z
dc.date.issued2021
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37361
dc.description.abstractAlthough the automation of cars aims to facilitate driving, current systems still rely on the driver for handling critical driving situations. As long as fully automatic systems are not available, the driver has to be supported in the take-over maneuver. We thus propose an interface that relies on auditory and visual signals to support the take-over process. Our interface further provides assistance for driving in poor visibility conditions, such as bad weather or darkness, by highlighting other traffic participants and lane boundaries. An online evaluation of our interface with 22 participants indicates a good usability, user experience, and acceptance.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2021 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectAutonomated driving
dc.subjectSmart car interface
dc.subjectuser study
dc.titleEvaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptanceen
dc.typeText/Conference Poster
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS10: 9th Workshop Automotive HMIs: Natural and Adaptive UIs to Support Future Cars
mci.conference.locationIngolstadt
mci.conference.date5.-8. September 2021
dc.identifier.doi10.18420/muc2021-mci-ws10-351


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