Assertive Takeover Requests: Immediate and Sustained Effects on Stress and Performance

Vanessa Kraut, Lenart Motnikar (Vortragende:r), Alexander Mirnig, Peter Fröhlich

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

In conditionally automated driving, assertive takeover requests (TORs) have been found to elicit faster responses in the transition from automated to manual control. However, despite this apparent benefit, concerns have been raised that assertive signals can stress the drivers, resulting in worse takeover quality and subsequent driving performance.
To investigate the phenomenon, we conducted a driving simulator study exploring the effects of assertive and non-assertive TOR signals. In a series of tasks where the drivers were required to take over control of the vehicle to manually maneuver a critical situation, immediate and sustained measures of driving performance, stress, and subjective perceptions were compared.
Consistent with previous research, the assertive signal led to shorter reaction times and stronger braking. However, no other immediate or delayed differences in the measures were observed. These findings suggest that assertive TOR signals might be a preferable design option, however, the phenomenon should be further explored.
OriginalspracheEnglisch
TitelProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten103-111
Seitenumfang9
ISBN (Print)9798400701054
DOIs
PublikationsstatusVeröffentlicht - 18 Sept. 2023
Veranstaltung15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2023) - Ingolstadt, Deutschland
Dauer: 18 Sept. 202322 Sept. 2023
https://www.auto-ui.org/23/

Publikationsreihe

NameProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Konferenz

Konferenz15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2023)
KurztitelAutomotiveUI 2023
Land/GebietDeutschland
StadtIngolstadt
Zeitraum18/09/2322/09/23
Internetadresse

Research Field

  • Capturing Experience

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