The effect of prior night sleep on simulated driving performance in medical residents

2021 ◽  
pp. 1-2
Author(s):  
Benjamin McManus ◽  
Despina Stavrinos
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua

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.


2012 ◽  
Vol 43 (4) ◽  
pp. 738-746 ◽  
Author(s):  
Kristie L. Young ◽  
Eve Mitsopoulos-Rubens ◽  
Christina M. Rudin-Brown ◽  
Michael G. Lenné

2007 ◽  
Vol 38 (5) ◽  
pp. 563-570 ◽  
Author(s):  
Bryan Reimer ◽  
Lisa A. D'Ambrosio ◽  
Joseph F. Coughlin

PEDIATRICS ◽  
1970 ◽  
Vol 45 (1) ◽  
pp. 131-131
Author(s):  
A. Crancer ◽  
J. D. Dille ◽  
J. C. Delay ◽  
J. C. Wallace ◽  
M. D. Haykin

The authors studied simulated driving performance of a group of adults who were experienced marijuana smokers, familiar with the effects of alcohol, who were licensed motor vehicle operators, and were engaged in educational or vocational pursuit. Simulated driving performance was studied in a darkened chamber with the subjects at the controls of a driver-training simulator containing control and instrument equipment relevant to driving, and facing a screen upon which a test film was projected. The effects of marijuana (two cigarettes totalling 1.7 gm over a 30-minute period) , alcohol to 0.10% blood concentration (about 6 oz 86-proof liquor for a 120 lb subject), and no treatment were compared.


2019 ◽  
Vol 60 ◽  
pp. 64-69 ◽  
Author(s):  
Milou Jacobs ◽  
Ellen P. Hart ◽  
Yuri Mejia Miranda ◽  
Geert Jan Groeneveld ◽  
Joop M.A. van Gerven ◽  
...  

Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
Miriam Casares-López ◽  
José J. Castro-Torres ◽  
Luis Jiménez del Barco ◽  
...  

Aging leads to impaired visual function, which can affect driving—a very visually demanding task—and has a direct impact on an individual’s quality of life if their license is withdrawn. This study examined the associations between age-related vision changes and simulated driving performance. To this end, we attempted to determine the most significant visual parameters in terms of evaluating elderly drivers’ eyesight. Twenty-one younger drivers (aged 25–40) were compared to 21 older drivers (aged 56–71). Study participants were assessed for visual acuity, contrast sensitivity, halos, and intraocular straylight, which causes veiling luminance on the retina and degrades vision. Driving performance was evaluated using a driving simulator. The relationships between simulated driving performance and the visual parameters tested were examined with correlation analyses and linear regression models. Older drivers presented impairment in most visual parameters (p < 0.05), with straylight being the most significantly affected (we also measured the associated effect size). Older drivers performed significantly worse (p < 0.05) in the simulator test, with a markedly lower performance in lane stability. The results of the multiple linear regression model evidenced that intraocular straylight is the best visual parameter for predicting simulated driving performance (R2 = 0.513). Older drivers have shown significantly poorer results in several aspects of visual function, as well as difficulties in driving simulator performance. Our results suggest that the non-standardized straylight evaluation could be significant in driver assessments, especially at the onset of age-related vision changes.


Sign in / Sign up

Export Citation Format

Share Document