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Cognitive components of simulated driving performance: Sleep loss effects and predictors

Overview of attention for article published in Accident Analysis & Prevention, June 2012
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Title
Cognitive components of simulated driving performance: Sleep loss effects and predictors
Published in
Accident Analysis & Prevention, June 2012
DOI 10.1016/j.aap.2012.05.020
Pubmed ID
Authors

M.L. Jackson, R.J. Croft, G.A. Kennedy, K. Owens, M.E. Howard

Abstract

Driving is a complex task, which can be broken down into specific cognitive processes. In order to determine which components contribute to drowsy driving impairments, the current study examined simulated driving and neurocognitive performance after one night of sleep deprivation. Nineteen professional drivers (age 45.3±9.1) underwent two experimental sessions in randomised order: one after normal sleep and one after 27h total sleep deprivation. A simulated driving task (AusEd), the psychomotor vigilance test (PVT), and neurocognitive tasks selected from the Cognitive Drug Research computerised neurocognitive assessment battery (simple and choice RT, Stroop Task, Digit Symbol Substitution Task, and Digit Vigilance Task) were administered at 10:00h in both sessions. Mixed-effects ANOVAs were performed to examine the effect of sleep deprivation versus normal sleep on performance measures. To determine if any neurocognitive tests predicted driving performance (lane position variability, speed variability, braking RT), neurocognitive measures that were significantly affected by sleep deprivation were then added as a covariate to the ANOVAs for driving performance. Simulated driving performance and neurocognitive measures of vigilance and reaction time were impaired after sleep deprivation (p<0.05), whereas tasks examining processing speed and executive functioning were not significantly affected by sleep loss. PVT performance significantly predicted specific aspects of simulated driving performance. Thus, psychomotor vigilance impairment may be a key cognitive component of driving impairment when sleep deprived. The generalisability of this finding to real-world driving remains to be investigated.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Malaysia 1 <1%
Italy 1 <1%
Sweden 1 <1%
Canada 1 <1%
France 1 <1%
Singapore 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 209 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 18%
Student > Master 37 17%
Student > Ph. D. Student 32 14%
Student > Bachelor 24 11%
Student > Postgraduate 12 5%
Other 42 19%
Unknown 36 16%
Readers by discipline Count As %
Psychology 68 31%
Engineering 29 13%
Medicine and Dentistry 22 10%
Nursing and Health Professions 8 4%
Sports and Recreations 8 4%
Other 33 15%
Unknown 54 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2018.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Accident Analysis & Prevention
#2,471
of 4,178 outputs
Outputs of similar age
#102,267
of 177,273 outputs
Outputs of similar age from Accident Analysis & Prevention
#36
of 46 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 177,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.