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
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: | 03 Mar 2022 10:53 |
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