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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
eds.: 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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2021
Editors: Wienrich, C. ; Wintersberger, P. ; Weyers, B.
Creators: Avramidis, Mario ; Kellner, Christiane ; Staudt, Josephine ; Zimmermann, Verena ; Gerber, Nina
Type of entry: Bibliographie
Title: Evaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptance
Language: English
Date: 2021
Publisher: Gesellschaft für Informatik e.V.
Journal or Publication Title: i-com
Volume of the journal: 20
Issue Number: 2
Book Title: Mensch und Computer 2021 - Workshopband
Event Title: MuC'21: Mensch und Computer 2021
Event Location: Ingolstadt, Germany
Event Dates: 05.-08.09.2021
DOI: 10.18420/muc2021-mci-ws10-351
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.

Additional Information:

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

Divisions: Profile Areas
Profile Areas > Cybersecurity (CYSEC)
03 Department of Human Sciences
03 Department of Human Sciences > Institute for Psychology
03 Department of Human Sciences > Institute for Psychology > Engineering psychology research group!
Date Deposited: 03 Jan 2022 09:48
Last Modified: 18 Oct 2023 12:40
PPN: 490388167
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