<div class="csl-bib-body">
<div class="csl-entry">Wintersberger, P., Schartmüller, C., Shadeghian, S., Frison, A.-K., & Riener, A. (2021). Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track. <i>Human Factors</i>, 001872082110514. https://doi.org/10.1177/00187208211051435</div>
</div>
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dc.identifier.issn
0018-7208
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/138934
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dc.description.abstract
Objective: Investigating take-over, driving, non-driving
related task (NDRT) performance, and trust of conditionally
automated vehicles (AVs) in critical transitions on a test track.
Background: Most experimental results addressing driver
take-over were obtained in simulators. The presented experiment
aimed at validating relevant findings while uncovering
potential effects of motion cues and real risk.
Method: Twenty-two participants responded to four
critical transitions on a test track. Non-driving related task
modality (reading on a handheld device vs. auditory) and takeover
timing (cognitive load) were varied on two levels. We
evaluated take-over and NDRT performance as well as gaze
behavior. Further, trust and workload were assessed with
scales and interviews.
Results: Reaction times were significantly faster than in
simulator studies. Further, reaction times were only barely
affected by varying visual, physical, or cognitive load. Post-takeover
control was significantly degraded with the handheld
device. Experiencing the system reduced participants' distrust,
and distrusting participants monitored the system longer and
more frequently. NDRTs on a handheld device resulted in more
safety-critical situations.
Conclusion: The results confirm that take-over performance
is mainly influenced by visual-cognitive load, while
physical load did not significantly affect responses. Future takeover
request (TOR) studies may investigate situation awareness
and post-take-over control rather than reaction times only.
Trust and distrust can be considered as different dimensions in
AV research.
Application: Conditionally AVs should offer dedicated
interfaces for NDRTs to provide an alternative to using nomadic
devices. These interfaces should be designed in a way to
maintain drivers' situation awareness.
Pr' ecis: This paper presents a test track experiment addressing
conditionally automated driving systems. Twenty-two
participants responded to critical TORs, where we varied
NDRT modality and take-over timing. In addition, we assessed
trust and workload with standardized scales and interviews.
en
dc.publisher
SAGE PUBLICATIONS INC
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dc.relation.ispartof
Human Factors
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dc.subject
automated vehicles
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dc.subject
automated driving
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dc.subject
handover
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dc.subject
Behavioral Neuroscience
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dc.subject
Human Factors and Ergonomics
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dc.subject
driver take-over
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dc.subject
take-over request
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dc.subject
Applied Psychology
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dc.title
Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track
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dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
001872082110514
-
dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
I3
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Automation and Robotics
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
dcterms.isPartOf.title
Human Factors
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tuw.publication.orgunit
E193-04 - Forschungsbereich Artifact-based Computing & User Research
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tuw.publisher.doi
10.1177/00187208211051435
-
dc.identifier.eissn
1547-8181
-
dc.description.numberOfPages
17
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wb.sci
true
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Verkehrswesen
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
2013
-
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
-
item.grantfulltext
restricted
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.openairetype
research article
-
crisitem.author.dept
E193 - Institut für Visual Computing and Human-Centered Technology