Virtual reality (VR) offers an innovative method to assess the impact of neurocognitive deficits on daily activities like driving.
OBJECTIVE:
This study sought to evaluate the reliability of a VR driving simulator (VRDS) in assessing driving behaviors.
METHODS:
Participants included 91 individuals with a neurological condition (e.g., acquired brain injury, multiple sclerosis) and 59 participants with no history of neurological disorder. Internal consistency and split half reliability were examined from data for all participants for driving speed, lane positioning, and steering on a rural segment of the virtual reality driving simulator route. Test-retest reliability was examined for data from the 22 drivers who completed the same route sections across two time periods.
RESULTS:
Internal consistency and split half reliability were excellent (alphas 0.90) for speed and lane positioning on a basic rural route. Test-retest reliability was variable with adequate to good reliability of lane positioning and steering but poor reliability of speed.
CONCLUSIONS:
Findings suggest that VRDS is a generally reliable instrument for measuring speed, lane positioning, and steering in a virtual basic rural driving environment. Reliability of repeated testing is not consistent, likely due to practice effects, highlighting the importance of using a comparison group in VRDS studies.
BrooksBMMcNeilJERoseFDGreenwoodRJAttreeEALeadbetterAG. Route learning in a case of amnesia: A preliminary investigation into the efficacy of training in a virtual environment. Neuropsychological Rehabilitation.1999; 9(1): 63-76.
2.
CrombyJSNewmanJTaskerH. Successful transfer to the real world of skills practiced in a virtual environment by student with severe learning disabilities. In: SharkeyPM, editor. Proceedings of the 1st European Conference on Disability, Virtual Reality and Associated Technologies Reading, UK: University of Reading, 1996.
3.
GrewePLahrDKohsikADyckEMarkowitschHJBienCG, et al. Real-life memory and spatial navigation in patients with focal epilepsy: ecological validity of a virtual reality supermarket task. Epilepsy Behav.2014; 31: 57-66.
4.
JovanovskiDZakzanisKRuttanLCampbellZErbSNussbaumD. Ecologically valid assessment of executive dysfunction using a novel virtual reality task in patients with acquired brain injury. Appl Neuropsychol Adult.2012; 19(3): 207-20.
5.
PagliaFLa CasciaCRizzoRRivaGLa BarberaD. Assessment of executive functions in patients with obsessive compulsive disorder by NeuroVR. Stud Health Technol Inform.2012; 181: 98-102.
6.
McGeorgePPhillipsLHCrawfordJRGardenSEDella SalaSMilneABCallanderJ. Using virtual environments in the assessment of executive dysfunction. Presence: Teleoperators and Virtual Environments.2001; 10(4): 375-83.
7.
MendozziLMotta,ABarbieri,EAlpini,DPugnettiL. The application of virtual reality to document coping deficits after a stroke: report of a case. CyberPsychology and Behavior.1998; 1(1): 79-91.
8.
ShalliceTBurgessP. Higher order cognitive impairments and frontal lobe lesions in man. In: HSELevinALBenton, editor. Frontal Lobe Function and Dysfunction Oxford University Press; 1991; pp. 125-38.
9.
TarnanasISchleeWTsolakiMMuriRMosimannUNefT. Ecological validity of virtual reality daily living activities screening for early dementia: Longitudinal study. JMIR Serious Games.2013; 1(1): e1.
10.
CoxDJDavisMSinghHBarbourBNidifferFDTrudelT, et al. Driving rehabilitation for military personnel recovering from traumatic brain injury using virtual reality driving simulation: a feasibility study. Mil Med.2010; 175(6): 411-6.
11.
GuinossoSAJohnsonSBSchultheisMTGraefeACBishaiDM. Neurocognitive correlates of young drivers’ performance in a driving simulator. J Adolesc Health.2016; 58(4): 467-73.
12.
PatrickKEHurewitzFMcCurdyMDAgateFTDalyBPTaraziRA, et al. Driving comparisons between young adults with autism spectrum disorder and typical development. J Dev Behav Pediatr.2018; 39(6): 451-60.
13.
SchultheisMTSimoneLKRosemanENeadRRebimbasJMourantR. Stopping behavior in a VR driving simulator: A new clinical measure for the assessment of driving. Conf Proc IEEE Eng Med Biol Soc.2006; 1: 4921-4.
14.
SchultheisMTRebimbasJMourantRMillisSR. Examining the usability of a virtual reality driving simulator. Assist Technol.2007; 19(1): 1-8; quiz 9-10.
15.
SchultheisMTWeisserVAngJElovicENeadRSestitoN, et al. Examining the relationship between cognition and driving performance in multiple sclerosis. Arch Phys Med Rehabil.2010; 91(3): 465-73.
16.
SchultheisMTWeisser,VManning,KBlasco,AAng,J.. Driving behaviors among community-dwelling persons with multiple sclerosis. Arch Phys Med Rehabil.2009; 90(6): 975-81.
17.
GianutsosRCampbellABeattieAMandriotaF. The driving advisement system: a computer-augmented quasi-simulation of the cognitive prerequisites for resumption of driving after brain injury. Assist Technol.1992; 4(2): 70-86.
18.
LundqvistA. Neuropsychological aspects of driving characteristics. Brain Inj.2001; 15(11): 981-94.
19.
SzlykJPMyersLZhangYWetzelLShapiroR. Development and assessment of a neuropsychological battery to aid in predicting driving performance. J Rehabil Res Dev.2002; 39(4): 483-96.
20.
ZesiewiczTACiminoCRMalekARGardnerNLeavertonPLDunnePB, et al. Driving safety in Parkinson’s disease. Neurology.2002; 59(11): 1787-8.
21.
NetzJWolbers,T. Hemianopsia and Driving. Europa Medicophysica.2001; 37(4): 275-8.
22.
SzlykJPTagliaDPPaligaJEdwardDPWilenskyJT. Driving performance in patients with mild to moderate glaucomatous clinical vision changes. J Rehabil Res Dev.2002; 39(4): 467-82.
23.
BlaauwGJ. Driving experience and task demands in simulator and instrumented car: A validation study. Human Factors.1982; 24(4): 474-86.
24.
RogeJPebayleTEl HannachiSMuzetA. Effect of sleep deprivation and driving duration on the useful visual field in younger and older subjects during simulator driving. Vision Res.2003; 43(13): 1465-72.
25.
BrouwerWHWaterinkW, WolffelaarPCRothengatterT. Divided attention in experienced young and older drivers: lane tracking and visual analysis in a dynamic driving simulator. Hum Factors.1991; 33(5): 573-82.
26.
LeeHCDrake,VCameron,D. Identification of appropriate assessment criteria to measure older adults’ driving performance in simulated driving. Australian Occupational Therapy Journal.2002; 49(3): 138-45.
27.
HoffmanLMcDowdJM. Simulator driving performance predicts accident reports five years later. Psychol Aging.2010; 25(3): 741-5.
28.
NeyensDMBoyleLNSchultheisMT. The effects of driver distraction for individuals with traumatic brain injuries. Hum Factors.2015; 57(8): 1472-88.
29.
VickersKLSchultheisMTManningKJ. Driving after brain injury: Does dual-task modality matter? NeuroRehabilitation.2018; 42(2): 213-22.
30.
RaphailAVickersKLLeistTPSchultheisMT. Clinical Utility of the Multiple Sclerosis Functional Composite over the Expanded Disability Status Scale for Screening Driving Capacity in Multiple Sclerosis. American Journal of Physical Medicine and Rehabilitation, 2019; in press.
ClassenSShechtmanOStephensBDavisEJustissMBendixenR, et al. The impact of roadway intersection design on driving performance of young and senior adults. Traffic Inj Prev.2007; 8(1): s69-77.
33.
KraftMAmickMMBarthJTFrenchLMLewHL. A review of driving simulator parameters relevant to the operation enduring freedom/operation iraqi freedom veteran population. Am J Phys Med Rehabil.2010; 89(4): 336-44.
34.
WolfTJChuhAFloydTMcInnisKWilliamsE. Effectiveness of occupation-based interventions to improve areas of occupation and social participation after stroke: an evidence-based review. Am J Occup Ther.2015; 69(1): 6901180060p1-11.
35.
KublerTCKasneciERosenstielWHeisterMAehlingKNagelK, et al. Driving with glaucoma: Task performance and gaze movements. Optom Vis Sci.2015; 92(11): 1037-46.
36.
SpreijLATen BrinkAFVisser-MeilyJMANijboerTCW. Simulated driving: The added value of dynamic testing in the assessment of visuo-spatial neglect after stroke. J Neuropsychol.2018.
37.
CoxDJBrownTRossVMoncriefMSchmittRGaffneyG, et al. Can youth with autism spectrum disorder use virtual reality driving simulation training to evaluate and improve driving performance? An Exploratory Study. J Autism Dev Disord.2017; 47(8): 2544-55.
38.
WhitePJMoussaviZ. Neurocognitive treatment for a patient with alzheimer’s disease using a virtual reality navigational environment. J Exp Neurosci.2016; 10: 129-35.
