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Evaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptance

Avramidis, Mario ; Kellner, Christiane ; Staudt, Josephine ; Zimmermann, Verena ; Gerber, Nina
Hrsg.: Wienrich, C. ; Wintersberger, P. ; Weyers, B. (2021)
Evaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptance.
MuC'21: Mensch und Computer 2021. Ingolstadt, Germany (05.-08.09.2021)
doi: 10.18420/muc2021-mci-ws10-351
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Although 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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2021
Herausgeber: Wienrich, C. ; Wintersberger, P. ; Weyers, B.
Autor(en): Avramidis, Mario ; Kellner, Christiane ; Staudt, Josephine ; Zimmermann, Verena ; Gerber, Nina
Art des Eintrags: Bibliographie
Titel: Evaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptance
Sprache: Englisch
Publikationsjahr: 2021
Verlag: Gesellschaft für Informatik e.V.
Titel der Zeitschrift, Zeitung oder Schriftenreihe: i-com
Jahrgang/Volume einer Zeitschrift: 20
(Heft-)Nummer: 2
Buchtitel: Mensch und Computer 2021 - Workshopband
Veranstaltungstitel: MuC'21: Mensch und Computer 2021
Veranstaltungsort: Ingolstadt, Germany
Veranstaltungsdatum: 05.-08.09.2021
DOI: 10.18420/muc2021-mci-ws10-351
Kurzbeschreibung (Abstract):

Although 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.

Zusätzliche Informationen:

9th Workshop Automotive HMIs: Natural and Adaptive UIs to Support Future Cars

Fachbereich(e)/-gebiet(e): Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
03 Fachbereich Humanwissenschaften > Institut für Psychologie > Arbeits- und Ingenieurpsychologie
Hinterlegungsdatum: 03 Jan 2022 09:48
Letzte Änderung: 18 Okt 2023 12:40
PPN: 490388167
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