Three consecutive nights of sleep loss: Effects of morning caffeine consumption on subjective sleepiness/alertness, reaction time and simulated driving performance

2020 ◽  
Vol 70 ◽  
pp. 124-134
Author(s):  
Karly Bartrim ◽  
Brianna McCarthy ◽  
Danielle McCartney ◽  
Gary Grant ◽  
Ben Desbrow ◽  
...  
Keyword(s):  
Reaction Time ◽  
Sleep Loss ◽  
Driving Performance ◽  
Caffeine Consumption ◽  
Simulated Driving ◽  
Subjective Sleepiness

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

2013 ◽  
Vol 50 ◽  
pp. 438-444 ◽  
Author(s):  
M.L. Jackson ◽  
R.J. Croft ◽  
G.A. Kennedy ◽  
K. Owens ◽  
M.E. Howard
Keyword(s):  
Sleep Loss ◽  
Driving Performance ◽  
Simulated Driving ◽  
Cognitive Components

Subjective sleepiness, simulated driving performance and blink duration: examining individual differences

2006 ◽  
Vol 15 (1) ◽  
pp. 47-53 ◽  
Author(s):  
MICHAEL INGRE ◽  
TORBJORN AKERSTEDT ◽  
BJORN PETERS ◽  
ANNA ANUND ◽  
GORAN KECKLUND
Keyword(s):  
Individual Differences ◽  
Driving Performance ◽  
Simulated Driving ◽  
Subjective Sleepiness

Effects of Individual Differences, Attention, and Memory Deficits on Driver Distraction

2020 ◽  
Vol 64 (1) ◽  
pp. 1196-1201
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua
Keyword(s):  
Individual Differences ◽  
Driving Simulator ◽  
Memory Deficits ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Traffic Density ◽  
Attention And Memory ◽  
Adhd Diagnosis ◽  
Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

The effects of using a portable music player on simulated driving performance and task-sharing strategies

2012 ◽  
Vol 43 (4) ◽  
pp. 738-746 ◽  
Author(s):  
Kristie L. Young ◽  
Eve Mitsopoulos-Rubens ◽  
Christina M. Rudin-Brown ◽  
Michael G. Lenné
Keyword(s):  
Driving Performance ◽  
Task Sharing ◽  
Simulated Driving ◽  
Music Player ◽  
And Task

293 Predictive utility of a brief scale to identify U.S. Army Soldiers who are genetically vulnerable and resilient to sleep loss

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A117-A117
Author(s):  
Janna Mantua ◽  
Carolyn Mickelson ◽  
Jacob Naylor ◽  
Bradley Ritland ◽  
Alexxa Bessey ◽  
...  
Keyword(s):  
Decision Making ◽  
Reaction Time ◽  
Sleep Deprivation ◽  
Cognitive Performance ◽  
Response Inhibition ◽  
Sleep Loss ◽  
Cutoff Score ◽  
Cognitive Subscale ◽  
Army Soldiers ◽  
Psychomotor Vigilance

Abstract Introduction Sleep loss that is inherent to military operations can lead to cognitive errors and potential mission failure. Single Nucleotide Polymorphisms (SNPs) allele variations of several genes (COMT, ADORA2A, TNFa, CLOCK, DAT1) have been linked with inter-individual cognitive resilience to sleep loss through various mechanisms. U.S. Army Soldiers with resilience-related alleles may be better-suited to perform cognitively-arduous duties under conditions of sleep loss than those without these alleles. However, military-wide genetic screening is costly, arduous, and infeasible. This study tested whether a brief survey of subjective resilience to sleep loss (1) can demarcate soldiers with and without resilience-related alleles, and, if so, (2) can predict cognitive performance under conditions of sleep loss. Methods Six SNPs from the aforementioned genes were sequenced from 75 male U.S. Army special operations Soldiers (age 25.7±4.1). Psychomotor vigilance, response inhibition, and decision-making were tested after a night of mission-driven total sleep deprivation. The Iowa Resilience to Sleeplessness Test (iREST) Cognitive Subscale, which measures subjective cognitive resilience to sleep loss, was administered after a week of recovery sleep. A receiver operating characteristic (ROC) curve was used to determine whether the iREST Cognitive Subscale can discriminate between gene carriers, and a cutoff score was determined. Cognitive performance after sleep deprivation was compared between those below/above the cutoff score using t-tests or Mann-Whitney U tests. Results The iREST discriminated between allele variations for COMT (ROC=.65,SE=.07,p=.03), with an optimal cutoff score of 3.03 out of 5, with 90% sensitivity and 51.4% specificity. Soldiers below the cutoff score had significantly poorer for psychomotor vigilance reaction time (t=-2.39,p=.02), response inhibition errors of commission (U=155.00,W=246.00,p=.04), and decision-making reaction time (t=2.13,p=.04) than Soldiers above the cutoff score. Conclusion The iREST Cognitive Subscale can discriminate between those with and without specific vulnerability/resilience-related genotypes. If these findings are replicated, the iREST Cognitive Subscale could be used to help military leaders make decisions about proper personnel placement when sleep loss is unavoidable. This would likely result in increased safety and improved performance during military missions. Support (if any) Support for this study came from the Military Operational Medicine Research Program of the United States Army Medical Research and Development Command.

Secondary analysis of time of day on simulated driving performance

2007 ◽  
Vol 38 (5) ◽  
pp. 563-570 ◽  
Author(s):  
Bryan Reimer ◽  
Lisa A. D'Ambrosio ◽  
Joseph F. Coughlin
Keyword(s):  
Secondary Analysis ◽  
Time Of Day ◽  
Driving Performance ◽  
Simulated Driving
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