Evidence map›Paper›PMID 37496464›Full record

ArticleHuman factors2024

Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems.

Francesco N Biondi, Amy S McDonnell, Mobina Mahmoodzadeh, Noor Jajo, Balakumar Balasingam, David L Strayer

Open access · hybridAbstract read
In one paragraph

Article in Human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
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  7. On investigating drivers' attention allocation during partially-automated driving.Cognitive research: principles and implications · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Francesco N BiondiHuman Systems Lab, University of Windsor, Windsor, ON, Canada.ORCID 0000-0002-5558-4707
Amy S McDonnellApplied Cognition Lab, University of Utah, Salt Lake City, UT, USA.
Mobina MahmoodzadehHuman Systems Lab, University of Windsor, Windsor, ON, Canada.
Noor JajoHuman Systems Lab, University of Windsor, Windsor, ON, Canada.
Balakumar BalasingamHuman Systems Lab, University of Windsor, Windsor, ON, Canada.
David L StrayerApplied Cognition Lab, University of Utah, Salt Lake City, UT, USA.
University of Utah · USUniversity of Windsor · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study uses a detection task to measure changes in driver vigilance when operating four different partially automated systems.

backgroundResearch show temporal declines in detection task performance during manual and fully automated driving, but the accuracy of using this approach for measuring changes in driver vigilance during on-road partially automated driving is yet unproven.

methodParticipants drove four different vehicles (Tesla Model 3, Cadillac CT6, Volvo XC90, and Nissan Rogue) equipped with level-2 systems in manual and partially automated modes. Response times to a detection task were recorded over eight consecutive time periods.

resultsBayesian analysis revealed a main effect of time period and an interaction between mode and time period. A main effect of vehicle and a time period x vehicle interaction were also found.

conclusionResults indicated that the reduction in detection task performance over time was worse during partially automated driving. Vehicle-specific analysis also revealed that detection task performance changed across vehicles, with slowest response time found for the Volvo. APPLICATION: The greater decline in detection performance found in automated mode suggests that operating level-2 systems incurred in a greater vigilance decrement, a phenomenon that is of interest for Human Factors practitioners and regulators. We also argue that the observed vehicle-related differences are attributable to the unique design of their in-vehicle interfaces.

Indexed as

AttentionAutomationAutomobile DrivingAdultAutomobilesBayes TheoremFemaleHumansMaleMan-Machine SystemsPsychomotor PerformanceReaction TimeTask Performance and AnalysisYoung Adultattentionautomated drivingCadillacdetection performancedetection taskdriver behaviorhuman factorslevels of automationNissanreaction timesresponse taskresponse timesroad safetySAE level-2sustained attentionTeslavehicle automationvigilanceVolvoworkload

Identifiers

PMID37496464
PMCPMC11344368
OpenAlexW4385294542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.