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Autonomous Driving - Analysing the Impact of Resilience Engineering Features in Smart Car Interfaces

Pasnicu, Otilia ; Zmmermann, Verena ; Gerber, Nina ; Cardoso, Sarah (2022)
Autonomous Driving - Analysing the Impact of Resilience Engineering Features in Smart Car Interfaces.
Mensch und Computer 2022. Darmstadt, Germany (04.-07.09.2022)
doi: 10.1145/3543758.3547573
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The communication between driver and vehicle plays an important role in the development of car automation. Being able to perform non-driving related tasks in uncritical situations is one of the biggest advantages of autonomous driving in smart cars. Yet, critical situations often require the driver to take over control again, thereby making the design of takeover maneuvers a highly relevant task. Our study thus investigated the impact of basic vs. enhanced HMIs considering the principles of resilience engineering on supporting drivers in taking control over the vehicle. We investigated driving on the highway in two critical scenarios: a roadworks and a potential collision scenario. In a VR study in a driving simulator 45 participants tested three HMIs: basic, visual, and visual + speech-based. Even though the results indicate high usability scores and a positive user experience for all HMIs, no significant differences regarding takeover time could be measured between the HMIs. Reasons include the visual differences in the interface design with regards to resilience engineering being minor and the sample size being too small to detect small effects. Implications for future research and the design of takeover maneuvers are discussed.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Pasnicu, Otilia ; Zmmermann, Verena ; Gerber, Nina ; Cardoso, Sarah
Art des Eintrags: Bibliographie
Titel: Autonomous Driving - Analysing the Impact of Resilience Engineering Features in Smart Car Interfaces
Sprache: Englisch
Publikationsjahr: 8 September 2022
Verlag: ACM
Buchtitel: Mensch und Computer 2022: Facing Realities - Tagungsband
Veranstaltungstitel: Mensch und Computer 2022
Veranstaltungsort: Darmstadt, Germany
Veranstaltungsdatum: 04.-07.09.2022
DOI: 10.1145/3543758.3547573
Kurzbeschreibung (Abstract):

The communication between driver and vehicle plays an important role in the development of car automation. Being able to perform non-driving related tasks in uncritical situations is one of the biggest advantages of autonomous driving in smart cars. Yet, critical situations often require the driver to take over control again, thereby making the design of takeover maneuvers a highly relevant task. Our study thus investigated the impact of basic vs. enhanced HMIs considering the principles of resilience engineering on supporting drivers in taking control over the vehicle. We investigated driving on the highway in two critical scenarios: a roadworks and a potential collision scenario. In a VR study in a driving simulator 45 participants tested three HMIs: basic, visual, and visual + speech-based. Even though the results indicate high usability scores and a positive user experience for all HMIs, no significant differences regarding takeover time could be measured between the HMIs. Reasons include the visual differences in the interface design with regards to resilience engineering being minor and the sample size being too small to detect small effects. Implications for future research and the design of takeover maneuvers are discussed.

Fachbereich(e)/-gebiet(e): DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
03 Fachbereich Humanwissenschaften
Forschungsfelder
Forschungsfelder > Information and Intelligence
Forschungsfelder > Information and Intelligence > Cybersecurity & Privacy
03 Fachbereich Humanwissenschaften > Institut für Psychologie
03 Fachbereich Humanwissenschaften > Institut für Psychologie > Arbeits- und Ingenieurpsychologie
Hinterlegungsdatum: 19 Sep 2023 09:36
Letzte Änderung: 04 Mär 2024 11:46
PPN: 514553804
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