Improving take-over quality in automated driving by interrupting non-driving tasks

Thomas Köhn, Matthias Gottlieb, Michael Schermann, Helmut Krcmar

Publikation: KonferenzbeitragPapierBegutachtung

21 Zitate (Scopus)

Abstract

With automated driving advancing, first production models started to incorporate the technology. However, until full autonomy is achieved, drivers always need to stay available to take over control from the car. This requirement has proven challenging: increased levels of automation reduce drivers' situational awareness and driving performance can suffer, especially in the critical moments after take-over. While manual-driving research introduced strategies to direct drivers' attention back to the road, notably interruptions of the non-driving task, the efficacy of these interventions on automated driving remain unclear. To investigate this, 53 participants drove in an automated simulator while performing tasks on an IVIS. With task interruptions, they reported increased situational awareness and showed improved reaction times during take-over, particularly for low-effort tasks (watching movies). Different to manual driving, halting tasks did not suffice; instead, we displayed the driving scene. Results question effects of situational awareness on take-over and offer solutions for manufacturers.

OriginalspracheEnglisch
Seiten510-517
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2019
Veranstaltung24th ACM International Conference on Intelligent User Interfaces, IUI 2019 - Marina del Ray, USA/Vereinigte Staaten
Dauer: 17 März 201920 März 2019

Konferenz

Konferenz24th ACM International Conference on Intelligent User Interfaces, IUI 2019
Land/GebietUSA/Vereinigte Staaten
OrtMarina del Ray
Zeitraum17/03/1920/03/19

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