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Misuse or abuse of automation? Exploring drivers’ intentions to nap during automated driving

Authors: Johanna Wörle; Barbara Metz;

Misuse or abuse of automation? Exploring drivers’ intentions to nap during automated driving

Abstract

In a driving simulator study on behavioural adaptation to a level 3 automated driving system (ADS), half of the participants slept during the study. Sleep was found to impair driver's take-over performance and lead to critical situations in previous studies. That is why in a follow-up interview study, we tried to understand if and why users would show this potentially dangerous behaviour when using a level 3 ADS in reality. The majority of participants who stated their willingness to sleep during automated driving in reality had a correct mental model of the level 3 ADS and understood that sleep was not allowed. Participants with willingness to sleep had higher trust levels and showed more trust-related behaviours. They slept more frequently during the study and experienced more take-over situations after sleep which they solved with less errors than participants without the willingness to sleep. Semi-structured interviews on the willingness to sleep with a subsample revealed that most of the participants with the willingness to sleep would sleep only under certain circumstances and when they had gained some experience with the ADS. The findings suggest that after some experience with the ADS, drivers are at risk of becoming complacent and they might sleep. Vehicle designers must consider automation complacency in the design of automation designing for appropriate trust levels or by using driver monitoring systems to detect sleep onset.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green