Driving Performance of Residents after Six Consecutive Overnight Work Shifts

2016 ◽  
Vol 124 (6) ◽  
pp. 1396-1403 ◽  
Author(s):  
Julie L. Huffmyer ◽  
Matthew Moncrief ◽  
Jessica A. Tashjian ◽  
Amanda M. Kleiman ◽  
David C. Scalzo ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Motor Vehicle ◽  
Reaction Times ◽  
Driving Performance ◽  
Guidance System ◽  
Driving Safety ◽  
Experimental Session ◽  
Consecutive Night ◽  
Resident Physicians ◽  
Night Shifts

Abstract Background Residency training requires work in clinical settings for extended periods of time, resulting in altered sleep patterns, sleep deprivation, and potentially deleterious effects on safe performance of daily activities, including driving a motor vehicle. Methods Twenty-nine anesthesiology resident physicians in postgraduate year 2 to 4 drove for 55 min in the Virginia Driving Safety Laboratory using the Driver Guidance System (MBFARR, LLC, USA). Two driving simulator sessions were conducted, one experimental session immediately after the final shift of six consecutive night shifts and one control session at the beginning of a normal day shift (not after call). Both sessions were conducted at 8:00 am. Psychomotor vigilance task testing was employed to evaluate reaction time and lapses in attention. Results After six consecutive night shifts, residents experienced significantly impaired control of all the driving variables including speed, lane position, throttle, and steering. They were also more likely to be involved in collisions. After six consecutive night shifts, residents had a significant increase in reaction times (281.1 vs. 298.5 ms; P = 0.001) and had a significant increase in the number of both minor (0.85 vs. 1.88; P = 0.01) and major lapses (0.00 vs. 0.31; P = 0.008) in attention. Conclusions Resident physicians have greater difficulty controlling speed and driving performance in the driving simulator after six consecutive night shifts. Reaction times are also increased with emphasis on increases in minor and major lapses in attention after six consecutive night shifts.

Smartwatches vs. Smartphones

2017 ◽  
Vol 9 (2) ◽  
pp. 39-57 ◽  
Author(s):  
Wayne C.W. Giang ◽  
Huei-Yen Winnie Chen ◽  
Birsen Donmez
Keyword(s):  
Perceived Risk ◽  
Driving Simulator ◽  
Reaction Times ◽  
Driving Performance ◽  
Smart Devices ◽  
Actual Performance ◽  
Common View ◽  
Handheld Device ◽  
Smartphone Use ◽  
Lane Position

This work seeks to understand whether the unique features of a smartwatch, compared to a smartphone, mitigate or exacerbate driver distraction due to notifications, and to provide insights about drivers' perceptions of the risks associated with using smartwatches while driving. As smartwatches are gaining popularity among consumers, there is a need to understand how smartwatch use may influence driving performance. Previous driving research has examined voice calling on smartwatches, but not interactions with notifications, a key marketed feature. Engaging with notifications (e.g., reading and texting) on a handheld device is a known distraction associated with increased crash risks. Two driving simulator studies compared smartwatch to smartphone notifications. Experiment I asked participants to read aloud brief text notifications and Experiment II had participants manually select a response to arithmetic questions presented as notifications. Both experiments investigated the resulting glances to and physical interactions with the devices, as well as self-reported risk perception. Experiment II also investigated driving performance and self-reported knowledge/expectation about legislation surrounding the use of smart devices while driving. Experiment I found that participants were faster to visually engage with the notification on the smartwatch than the smartphone, took longer to finish reading aloud the notifications, and exhibited more glances longer than 1.6 s. Experiment II found that participants took longer to reply to notifications and had longer overall glance durations on the smartwatch than the smartphone, along with longer brake reaction times to lead vehicle braking events. Compared to the no device baseline, both devices increased lane position variability and resulted in higher self-reported perceived risk. Experiment II participants also considered that smartwatch use while driving deserves penalties equal to or less than smartphone use. The findings suggest that smartwatches may have road safety consequences. Given the common view among participants to associate smartwatch use with equal or less traffic penalties than smartphone use, there may be a disconnect between drivers' actual performance and their perceptions about smartwatch use while driving.

scholarly journals Effects of Smoking Cannabis on Visual Function and Driving Performance. A Driving-Simulator Based Study

2020 ◽  
Vol 17 (23) ◽  
pp. 9033
Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
José J. Castro-Torres ◽  
José R. Jiménez ◽  
Rosario G. Anera
Keyword(s):  
Visual Function ◽  
Driving Simulator ◽  
Driving Performance ◽  
Driving Under The Influence ◽  
Driving Safety ◽  
Limited Information ◽  
Baseline Session ◽  
Visual Effects ◽  
Awareness Campaigns ◽  
Car Driving

Cannabis is the most widely used illegal drug in the world. Limited information about the effects of cannabis on visual function is available, and more detail about the possible impact of visual effects on car driving is required. This study investigated the effects of smoking cannabis on vision and driving performance, and whether these effects are correlated. Twenty drivers and occasional users were included (mean (SE) age, 23.3 (1.0) years; five women). Vision and simulated driving performance were evaluated in a baseline session and after smoking cannabis. Under the influence of cannabis, certain visual functions such as visual acuity (p < 0.001), contrast sensitivity (p = 0.004) and stereoacuity (far, p < 0.001; near, p = 0.013) worsened. In addition, there was an overall deterioration of driving performance, with the task of keeping the vehicle in the lane proving more difficult (p < 0.05). A correlation analysis showed significant associations between driving performance and visual function. Thus, the strongest correlations were found between the distance driven onto the shoulder and stereoacuity, for near (ρ = 0.504; p = 0.001) and far distances (ρ = 0.408; p = 0.011). This study provides the first evidence to show that the visual effects of cannabis could impact driving performance, compromising driving safety. The results indicate that information and awareness campaigns are essential for reducing the incidence of driving under the influence of cannabis.

Stopping Performance in Familiar and Unfamiliar Vehicles

1987 ◽  
Vol 31 (7) ◽  
pp. 762-765
Author(s):  
Thomas A. Ranney ◽  
Nathaniel H. Pulling
Keyword(s):  
Motor Vehicle ◽  
Reaction Times ◽  
Driving Performance ◽  
Driving Simulators ◽  
Vehicle Accidents ◽  
Approach Speed ◽  
Overall Performance ◽  
Driving Range ◽  
The One ◽  
Performance Research

Lack of vehicle familiarity is a contributing factor in motor-vehicle accidents. It may also contaminate results in experiments where subjects are required to drive unfamiliar vehicles or driving simulators. An instrumented driving range, including a signalized intersection, was developed to evaluate driving performance in subjects' own vehicles. Fourteen drivers completed approximately fifty laps of the one-half mile closed course in their own vehicles and in an unfamiliar passenger van. Their task was to stop at the stopline following the change of the traffic signal from green to yellow. Brake reaction time, smoothness of deceleration, approach speed, and stopping accuracy were recorded. In the unfamiliar van, brake reaction times were faster and drivers were more likely to stop considerably before the stop line than in their own vehicle. Deceleration was slightly smoother in the unfamiliar van. Individual differences in approach speed were stronger than differences associated with vehicles. Overall performance was influenced more by the position of the vehicle at yellow onset than by vehicle familiarity. Results were interpreted as suggesting heightened driver awareness in the unfamiliar vehicle. Implications for the safety of drivers in unfamiliar vehicles are discussed. The use of unfamiliar vehicles in driving performance research and problems of data analysis resulting from the use of drivers in their own vehicles are also discussed.

scholarly journals Neural correlates of safe driving performance: An fMRI study featuring a pedestrian-rich simulator environment

2021 ◽  
Author(s):  
Kentaro Oba ◽  
Koji Hamada ◽  
Azumi Tanabe-Ishibashi ◽  
Fumihiko Murase ◽  
Masaaki Hirose ◽  
...  
Keyword(s):  
Cognitive Processes ◽  
Social Cognitive ◽  
Driving Simulator ◽  
Neural Correlates ◽  
Driving Performance ◽  
Driving Safety ◽  
Facilitatory Effect ◽  
Safe Driving ◽  
Car Accidents ◽  
Fmri Study

Distracted attention is considered responsible for most car accidents, and many functional magnetic resonance imaging (fMRI) researchers have addressed its neural correlates using a car-driving simulator. Previous studies, however, have not directly addressed safe driving performance and did not place pedestrians in the simulator environment. In this fMRI study, we simulated a pedestrian-rich environment to explore the neural correlates of three types of safe driving performance: driving accuracy, the braking response to a preceding car, and the braking response to a crossing pedestrian. Activation of the bilateral frontoparietal control network predicted high driving accuracy. On the other hand, activation of the left posterior and right anterior superior temporal sulci preceding a sudden pedestrian crossing predicted a slow braking response. The results suggest the involvement of different cognitive processes in different components of driving safety: the facilitatory effect of maintained attention on driving accuracy and the distracting effect of social–cognitive processes on the braking response to pedestrians.

Smartwatches vs. Smartphones

2019 ◽  
pp. 453-473
Author(s):  
Wayne C.W. Giang ◽  
Huei-Yen Winnie Chen ◽  
Birsen Donmez
Keyword(s):  
Perceived Risk ◽  
Driving Simulator ◽  
Reaction Times ◽  
Driving Performance ◽  
Read Aloud ◽  
Smart Devices ◽  
Actual Performance ◽  
Common View ◽  
Smartphone Use ◽  
Lane Position

This work seeks to understand whether the unique features of a smartwatch, compared to a smartphone, mitigate or exacerbate driver distraction due to notifications, and to provide insights about drivers' perceptions of the risks associated with using smartwatches while driving. As smartwatches are gaining popularity among consumers, there is a need to understand how smartwatch use may influence driving performance. Previous driving research has examined voice calling on smartwatches, but not interactions with notifications, a key marketed feature. Engaging with notifications (e.g., reading and texting) on a handheld device is a known distraction associated with increased crash risks. Two driving simulator studies compared smartwatch to smartphone notifications. Experiment I asked participants to read aloud brief text notifications and Experiment II had participants manually select a response to arithmetic questions presented as notifications. Both experiments investigated the resulting glances to and physical interactions with the devices, as well as self-reported risk perception. Experiment II also investigated driving performance and self-reported knowledge/expectation about legislation surrounding the use of smart devices while driving. Experiment I found that participants were faster to visually engage with the notification on the smartwatch than the smartphone, took longer to finish reading aloud the notifications, and exhibited more glances longer than 1.6 s. Experiment II found that participants took longer to reply to notifications and had longer overall glance durations on the smartwatch than the smartphone, along with longer brake reaction times to lead vehicle braking events. Compared to the no device baseline, both devices increased lane position variability and resulted in higher self-reported perceived risk. Experiment II participants also considered that smartwatch use while driving deserves penalties equal to or less than smartphone use. The findings suggest that smartwatches may have road safety consequences. Given the common view among participants to associate smartwatch use with equal or less traffic penalties than smartphone use, there may be a disconnect between drivers' actual performance and their perceptions about smartwatch use while driving.

scholarly journals Displays for Productive Non-Driving Related Tasks: Visual Behavior and Its Impact in Conditionally Automated Driving

2021 ◽  
Vol 5 (4) ◽  
pp. 21
Author(s):  
Clemens Schartmüller ◽  
Klemens Weigl ◽  
Andreas Löcken ◽  
Philipp Wintersberger ◽  
Marco Steinhauser ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Reaction Times ◽  
Driving Performance ◽  
Automated Driving ◽  
Auditory Condition ◽  
Safety Critical ◽  
The Road ◽  
Within Subjects ◽  
On The Road ◽  
Vehicle Automation

(1) Background: Primary driving tasks are increasingly being handled by vehicle automation so that support for non-driving related tasks (NDRTs) is becoming more and more important. In SAE L3 automation, vehicles can require the driver-passenger to take over driving controls, though. Interfaces for NDRTs must therefore guarantee safe operation and should also support productive work. (2) Method: We conducted a within-subjects driving simulator study (N=53) comparing Heads-Up Displays (HUDs) and Auditory Speech Displays (ASDs) for productive NDRT engagement. In this article, we assess the NDRT displays’ effectiveness by evaluating eye-tracking measures and setting them into relation to workload measures, self-ratings, and NDRT/take-over performance. (3) Results: Our data highlights substantially higher gaze dispersion but more extensive glances on the road center in the auditory condition than the HUD condition during automated driving. We further observed potentially safety-critical glance deviations from the road during take-overs after a HUD was used. These differences are reflected in self-ratings, workload indicators and take-over reaction times, but not in driving performance. (4) Conclusion: NDRT interfaces can influence visual attention even beyond their usage during automated driving. In particular, the HUD has resulted in safety-critical glances during manual driving after take-overs. We found this impacted workload and productivity but not driving performance.

Analysis of driving simulator performance for post-call orthopaedic surgery residents

2021 ◽  
pp. postgradmedj-2021-139908
Author(s):  
Louis C Grandizio ◽  
Daniela F Barreto Rocha ◽  
J Alexander Holbert ◽  
Elizabeth J Pavis ◽  
David Hopkins ◽  
...  
Keyword(s):  
Orthopaedic Surgery ◽  
Driving Simulator ◽  
Motor Vehicle ◽  
Primary Outcome Measure ◽  
Motor Vehicle Accidents ◽  
Driving Safety ◽  
Secondary Outcome ◽  
Vehicle Accidents ◽  
Single Night ◽  
The Impact

PurposeDespite the associations between workhours, fatigue and motor vehicle accidents, driving abilities for residents post-call have been infrequently analysed. Our purpose was to compare orthopaedic surgery resident performance on a driving simulator after a night of call compared with their baseline.Study designAll residents from a single orthopaedic programme were asked to complete baseline and post-call driving simulator assessments and surveys. The primary outcome measure was brake reaction time (BRT) and secondary outcome measures included lane variance, speed variance and accidents on the driving simulator.ResultsAll 19 orthopaedic residents agreed to participate. Compared with the baseline assessment, residents demonstrated significantly higher levels of sleepiness on the Stanford Sleepiness Scale post-call (1.6 vs 3.4; p<0.0001). Despite higher levels of fatigue post-call, there was no statistically significant differences between baseline and post-call assessments for mean BRT, accidents, lane variation and speed variation.ConclusionsThese data suggest that for orthopaedic residents, driving simulator performance does not appear to be worse after a single night of call compared with baseline. Future collaborative, multicentre investigations on post-call driving safety that incorporate different call types and frequencies are necessary to better define the impact of post-call fatigue on driving performance. Recognising that motor vehicle accidents remain the leading cause of death for people under the age of 30 years, these continued areas of study are necessary to truly establish a culture of resident safety.

341 Acute effects of seltorexant, a selective orexin-2 antagonist (JNJ- 42847922), on driving after bedtime administration

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A136-A136
Author(s):  
S Brooks ◽  
R G J A Zuiker ◽  
G E Jacobs ◽  
I Kezic ◽  
A Savitz ◽  
...  
Keyword(s):  
Postural Stability ◽  
Driving Simulator ◽  
Motor Vehicle ◽  
Subjective Effects ◽  
Driving Ability ◽  
Post Dose ◽  
Double Blind ◽  
Increased Risk ◽  
Subjective Sleepiness ◽  
The Difference

Abstract Introduction Seltorexant (JNJ-42847922), a potent and selective antagonist of the human orexin-2 receptor, is being developed for the treatment of major depressive disorder. Seltorexant also has sleep-promoting properties. Investigating the effects of sleep-promoting medications on driving is important because some of these agents (e.g. GABAA receptor agonists) may be associated with increased risk of motor vehicle accidents. We evaluated the effect of seltorexant on driving after forced awakening at night, using a validated driving simulator. Methods This double-blind, placebo and active-controlled, randomized, 3-way cross-over study was conducted in 18 male and 18 female healthy subjects. All subjects received seltorexant 40 mg, zolpidem 10 mg, or placebo 15 minutes before bedtime. Eighteen subjects were awakened at 2- and 6-hours post-dose, and the other 18 at 4- and 8-hours post-dose. At those timepoints, pharmacokinetics, objective (standard deviation of the lateral position [SDLP]) and subjective effects (using Perceived Driving Quality and Effort Scales) on driving ability, postural stability and subjective sleepiness were assessed. Results For seltorexant, the SDLP difference from placebo (95% confidence interval) at 2-, 4-, 6- and 8-hours post-dose was 3.9 cm (1.26, 6.60), 0.9 cm (-1.08, 2.92), 1.1 cm (-0.42, 2.63), and 0.6 cm (-2.75, 1.55), respectively vs. 9.6 cm (6.97, 12.38), 6.6 cm (3.53, 9.60), 4.7 cm (1.46, 7.85), and 1.3cm (-1.16, 3.80), respectively for zolpidem. The difference from placebo was significant at 2-hours after taking seltorexant, while the difference from placebo was significant at 2, 4 and 6-hours after zolpidem. Subjective driving quality was decreased for both drugs at all time points and driving effort was increased up to 4-hours post-dose for both medications. Subjective sleepiness showed a significant increase compared to placebo 2- and 4-hours after administration of either drug. Postural stability was decreased up to 2-hours after administration of seltorexant, and up to 4-hours after administration of zolpidem. Conclusion Compared to zolpidem, objective effects on driving performance were more transient after seltorexant administration and largely normalized by 4–6 hours post-dose. Support (if any) This work was sponsored by Janssen R&D.

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.

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