scholarly journals The drive-wise project: driving simulator training increases real driving performance in healthy older drivers

2014 ◽  
Vol 6 ◽  
Author(s):  
Gianclaudio Casutt ◽  
Nathan Theill ◽  
Mike Martin ◽  
Martin Keller ◽  
Lutz Jäncke
Keyword(s):  
Driving Simulator ◽  
Driving Performance ◽  
Older Drivers ◽  
Simulator Training

scholarly journals Impact of Age-Related Vision Changes on Driving

2020 ◽  
Vol 17 (20) ◽  
pp. 7416
Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
Miriam Casares-López ◽  
José J. Castro-Torres ◽  
Luis Jiménez del Barco ◽  
...  
Keyword(s):  
Linear Regression ◽  
Visual Function ◽  
Driving Simulator ◽  
Multiple Linear Regression Model ◽  
Driving Performance ◽  
Older Drivers ◽  
Linear Regression Models ◽  
Simulated Driving ◽  
Age Related ◽  
Intraocular Straylight

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driving—a very visually demanding task—and has a direct impact on an individual’s quality of life if their license is withdrawn.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.

Use of Micro-Scenarios to Reduce the Effects of Simulator Sickness in Training Intervention Studies

2016 ◽  
Vol 60 (1) ◽  
pp. 1946-1950 ◽  
Author(s):  
Craig Schneider ◽  
Foroogh Hajiseyedjavadi ◽  
Jingyi Zhang ◽  
Matthew Romoser ◽  
Siby Samuel ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Training Group ◽  
Dropout Rate ◽  
Older Drivers ◽  
Drop Out ◽  
Simulator Training ◽  
Control Group ◽  
Simulator Sickness ◽  
Contributing Factors ◽  
Potential Threat

Older drivers are overrepresented in intersection crashes primarily because they fail to scan for potential threat vehicles after they enter a stop-controlled intersection. Existing simulator-based older driver training programs double the frequency of secondary glances that older drivers take up to two years after training. However, the simulator sickness dropout rate for this training is 40%. Two contributing factors to simulator sickness are 1) configuration of the driving simulator, and 2) duration of continuous simulator training. In this experiment, 91 older drivers were assigned to one of five groups: 3 simulator training groups, one passive training group, and one control group. Simulator training sessions were broken into segments of only 30-45 s in length. The effectiveness of the training was evaluated in the field. The most effective training was on a 3 screen simulator which doubled the frequency of secondary glances in the field and reduced simulator drop-out rates to 14.3%.

Speed-of-Processing and Driving Simulator Training Result in Improved Driving Performance

2003 ◽  
Vol 45 (2) ◽  
pp. 218-233 ◽  
Author(s):  
Daniel L. Roenker ◽  
Gayla M. Cissell ◽  
Karlene K. Ball ◽  
Virginia G. Wadley ◽  
Jerri D. Edwards
Keyword(s):  
Older Adults ◽  
Training Program ◽  
Driving Simulator ◽  
Driving Performance ◽  
Low Risk ◽  
Field Of View ◽  
Simulator Training ◽  
Speed Of Processing ◽  
Useful Field Of View ◽  
Speed Of Processing Training

Useful field of view, a measure of processing speed and spatial attention, can be improved with training. We evaluated the effects of this improvement on older adults' driving performance. Elderly adults participated in a speed-of-processing training program ( N = 48), a traditional driver training program performed in a driving simulator ( N = 22), or a low-risk reference group ( N = 25). Before training, immediately after training or an equivalent time delay, and after an 18-month delay each participant was evaluated in a driving simulator and completed a 14-mile (22.5-km) open-road driving evaluation. Speed-of-processing training, but not simulator training, improved a specific measure of useful field of view (UFOV®), transferred to some simulator measures, and resulted in fewer dangerous maneuvers during the driving evaluation. The simulator-trained group improved on two driving performance measures: turning into the correct lane and proper signal use. Similar effects were not observed in the speed-of-processing training or low-risk reference groups. The persistence of these effects over an 18-month test interval was also evaluated. Actual or potential applications of this research include driver assessment and/or training programs and cognitive intervention programs for older adults.

scholarly journals Driving Simulator Training Is Associated with Reduced Inhibitory Workload in Older Drivers

Geriatrics ◽  
2016 ◽  
Vol 1 (3) ◽  
pp. 16 ◽  
Author(s):  
Gianclaudio Casutt ◽  
Mike Martin ◽  
Lutz Jäncke
Keyword(s):  
Driving Simulator ◽  
Older Drivers ◽  
Simulator Training

scholarly journals Aging: Older Adults’ Driving Behavior Using Longitudinal and Lateral Warning Systems

2019 ◽  
Vol 62 (2) ◽  
pp. 229-248 ◽  
Author(s):  
Dustin J. Souders ◽  
Neil Charness ◽  
Nelson A. Roque ◽  
Hellen Pham
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Driving Performance ◽  
Older Drivers ◽  
Critical Event ◽  
Warning Systems ◽  
Driver Assistance Systems ◽  
Subjective Workload ◽  
Concurrent Use ◽  
Forward Collision Warning

Objective This study assessed older drivers’ driving behavior when using longitudinal and lateral vehicle warning systems together. Background Advanced driver assistance systems (ADAS) can benefit drivers of all ages. Previous research with younger to middle-aged samples suggests that safety benefits are not necessarily additive with additional ADAS. Increases in following distance associated with the use of forward collision warning (FCW) decreased when drivers also used lane departure warning (LDW), likely due to attending to the LDW more than the FCW. Method The current study used a driving simulator to provide 128 older drivers experience with FCW and/or LDW system(s) during a ~25-min drive to gauge their usage’s effects on driving performance and subjective workload. Results There were no significant differences found in headway distance between older drivers who used different combinations of FCW and LDW systems, but those who used an FCW system showed significantly longer time-to-collision (TTC) when approaching the critical event than those who did not. Users of LDW systems did not show reductions in standard deviation of lane position. Analyses of subjective workload measures showed no significant differences between conditions. Conclusion Findings suggest that FCW could increase older drivers’ TTC over the course of a drive. Contrary to previous findings in younger samples, concurrent use of FCW and LDW systems did not adversely affect older drivers’ longitudinal driving performance and subjective workload. Application Potential applications of this research include the assessment of older drivers’ use of vehicle warning systems and their effects on subjective workload.

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.

scholarly journals Acceptance of Transportation Technologies by Aging Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Neil Charness ◽  
Dustin Souders ◽  
Ryan Best ◽  
Nelson Roque ◽  
JongSung Yoon ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Detection System ◽  
Blind Spot ◽  
Driving Performance ◽  
Older Drivers ◽  
Crash Risk ◽  
Warning Systems ◽  
Risk Of Death ◽  
Spot Detection

Abstract Older adults are at greater risk of death and serious injury in transportation crashes which have been increasing in older adult cohorts relative to younger cohorts. Can technology provide a safer road environment? Even if technology can mitigate crash risk, is it acceptable to older road users? We outline the results from several studies that tested 1) whether advanced driver assistance systems (ADAS) can improve older adult driving performance, 2) older adults’ acceptance of ADAS and Autonomous Vehicle (AV) systems, and 3) perceptions of value for ADAS systems, particularly for blind-spot detection systems. We found that collision avoidance warning systems improved older adult simulator driving performance, but not lane departure warning systems. In a young to middle-aged sample the factor “concern with AV” showed age effects with older drivers less favorable. Older drivers, however, valued an active blind spot detection system more than younger drivers.

scholarly journals Comparison of the Effect of Two Driving Retraining Programs on On-Road Performance After Stroke

2009 ◽  
Vol 23 (7) ◽  
pp. 699-705 ◽  
Author(s):  
Hannes Devos ◽  
Abiodun Emmanuel Akinwuntan ◽  
Alice Nieuwboer ◽  
Mark Tant ◽  
Steven Truijen ◽  
...  
Keyword(s):  
Training Program ◽  
Cognitive Training ◽  
Driving Simulator ◽  
Controlled Trial ◽  
Rehabilitation Program ◽  
Simulator Training ◽  
Road Test ◽  
Item Score ◽  
Driving Skills ◽  
Subacute Stroke

Background. Several driving retraining programs have been developed to improve driving skills after stroke. Those programs rely on different rehabilitation concepts. Objectives. The current study sought to examine the specific carryover effect of driving skills of a comprehensive training program in a driving simulator when compared with a cognitive training program. Methods. Further analysis from a previous randomized controlled trial that investigated the effect of simulator training on driving after stroke. Forty-two participants received simulator-based driving training, whereas 41 participants received cognitive training for 15 hours. Overall performance in the on-road test and each of its 13 items were compared between groups immediately posttraining and at 6 months poststroke. Results. Generalized estimating equation analysis showed that the total score on the on-road test and each item score improved significantly over time for both groups. Those who received driving simulator training achieved better results when compared with the cognitive training group in the overall on-road score and the items of anticipation and perception of signs, visual behavior and communication, quality of traffic participation, and turning left. Most of the differences in improvement between the 2 interventions were observed at 6 months poststroke. Conclusions . Contextual training in a driving simulator appeared to be superior to cognitive training to treat impaired on-road driving skills after stroke. The effects were primarily seen in visuointegrative driving skills. Our results favor the implementation of driving simulator therapy in the conventional rehabilitation program of subacute stroke patients with mild deficits.

scholarly journals Driving Performance and Its Correlation with Neuropsychological Tests in Senior Drivers with Cognitive Impairment in Japan

2021 ◽  
Vol 79 (4) ◽  
pp. 1575-1587
Author(s):  
Zhouyuan Peng ◽  
Hiroyuki Nishimoto ◽  
Ayae Kinoshita
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Functions ◽  
Neuropsychological Tests ◽  
Driving Simulator ◽  
Driving Performance ◽  
Impaired Driving ◽  
Dementia Patients ◽  
Neuropsychological Factors ◽  
Senior Drivers

Background: With the rapid aging of the population, the issue of driving by dementia patients has been causing increasing concern worldwide. Objective: To investigate the driving difficulties faced by senior drivers with cognitive impairment and identify the specific neuropsychological tests that can reflect specific domains of driving maneuvers. Methods: Senior drivers with cognitive impairment were investigated. Neuropsychological tests and a questionnaire on demographic and driving characteristics were administered. Driving simulator tests were used to quantify participants’ driving errors in various domains of driving. Results: Of the 47 participants, 23 current drivers, though they had better cognitive functions than 24 retired drivers, were found to have impaired driving performance in the domains of Reaction, Starting and stopping, Signaling, and Overall (wayfinding and accidents). The parameters of Reaction were significantly related to the diagnosis, and the scores of MMSE, TMT-A, and TMT-B. As regards details of the driving errors, “Sudden braking” was associated with the scores of MMSE (ρ= –0.707, p < 0.01), BDT (ρ= –0.560, p < 0.05), and ADAS (ρ= 0.758, p < 0.01), “Forgetting to use turn signals” with the TMT-B score (ρ= 0.608, p < 0.05), “Centerline crossings” with the scores of MMSE (ρ= –0.582, p < 0.05) and ADAS (ρ= 0.538, p < 0.05), and “Going the wrong way” was correlated with the score of CDT (ρ= –0.624, p < 0.01). Conclusion: Different neuropsychological factors serve as predictors of different specific driving maneuvers segmented from driving performance.

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