Rating of Take-Over Performance in Conditionally Automated Driving Using an Expert-Rating System

Oliver Jarosch, Klaus Bengler

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Conditionally Automated Driving could be the next step towards fully automated driving. In this level of automation, the human driver represents the fallback instance and has to be able to regain control of the vehicle if requested. This transition process is currently in focus of human factors research. In previous studies, take-over performance was rated by using data concerning reaction times and quantitative data measuring the quality of the drivers’ input. One disadvantage of this method is that all aspects of the take-over process are considered separately and not the take-over as a whole event. In the current study, a new method for rating of take-over performance was used. The expert rating system TOC [1] was used to rate take-over performance of N = 66 subjects in a driving simulator study. Two different non-driving related tasks (NDRTs) were used to affect fatigue. Results suggest, that take-over performance was poor, independent of NDRTs.

OriginalspracheEnglisch
TitelAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018
Redakteure/-innenNeville Stanton
Herausgeber (Verlag)Springer Verlag
Seiten283-294
Seitenumfang12
ISBN (Print)9783319938844
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungAHFE International Conference on Human Factors in Transportation, 2018 - Orlando, USA/Vereinigte Staaten
Dauer: 21 Juli 201825 Juli 2018

Publikationsreihe

NameAdvances in Intelligent Systems and Computing
Band786
ISSN (Print)2194-5357

Konferenz

KonferenzAHFE International Conference on Human Factors in Transportation, 2018
Land/GebietUSA/Vereinigte Staaten
OrtOrlando
Zeitraum21/07/1825/07/18

Fingerprint

Untersuchen Sie die Forschungsthemen von „Rating of Take-Over Performance in Conditionally Automated Driving Using an Expert-Rating System“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren