Evaluation of older driver head functional range of motion using portable immersive virtual reality

BACKGROUND The number of drivers over 65 years of age continues to increase. Although neck rotation range has been identified as a factor associated with self-reported crash history in older drivers, it was not consistently reported as indicators of older driver performance or crashes across previous studies. It is likely that drivers use neck and trunk rotation when driving, and therefore the functional range of motion (ROM) (i.e. overall rotation used during a task) of older drivers should be further examined. OBJECTIVE Evaluate older driver performance in an immersive virtual reality, simulated, dynamic driving blind spot target detection task. METHODS A cross-sectional laboratory study recruited twenty-six licensed drivers (14 young between 18 and 35 years, and 12 older between 65 to 75 years) from the local community. Participants were asked to detect targets by performing blind spot check movements while neck and trunk rotation was tracked. Functional ROM, target detection success, and time to detection were analyzed. RESULTS In addition to neck rotation, older and younger drivers on average rotated their trunks 9.96° and 18.04°, respectively. The younger drivers generally demonstrated 15.6° greater functional ROM (p<.001), were nearly twice as successful in target detection due to target location (p=.008), and had 0.46 s less target detection time (p=.016) than the older drivers. CONCLUSION Assessing older driver functional ROM may provide more comprehensive assessment of driving ability than neck ROM. Target detection success and time to detection may also be part of the aging process as these measures differed between driver groups.

[1]  William C Mann,et al.  Predictability of clinical assessments for driving performance. , 2008, Journal of safety research.

[2]  Janine G. Walker,et al.  Cognitive, sensory and physical factors enabling driving safety in older adults. , 2005, Clinical psychology review.

[3]  Holly Tuokko,et al.  Fit to Drive: A Pilot Study to Improve the Physical Fitness of Older Drivers , 2009 .

[4]  Julie Dugdale,et al.  EMERGENCY FIRE INCIDENT TRAINING IN A VIRTUAL WORLD , 2004 .

[5]  Charles Pontonnier,et al.  Assessing the Ability of a VR-Based Assembly Task Simulation to Evaluate PhysicalRisk Factors , 2014, IEEE Transactions on Visualization and Computer Graphics.

[6]  Kenard McPherson,et al.  The effects of a joint range-of-motion physical fitness training program on the automobile driving skills of older adults☆ , 1992 .

[7]  Malcolm Man-Son-Hing,et al.  Acceptability and concurrent validity of measures to predict older driver involvement in motor vehicle crashes: an Emergency Department pilot case-control study. , 2007, Accident; analysis and prevention.

[8]  I. Pike,et al.  Vision screening of older drivers for preventing road traffic injuries and fatalities. , 2014, The Cochrane database of systematic reviews.

[9]  Donald L. Fisher,et al.  The Use of a Driving Simulator to Assess Senior Driver Performance: Increasing Situational Awareness Through Post-Drive One-on-One Advisement , 2017 .

[10]  Karen B. Chen,et al.  The accuracy of the Oculus Rift virtual reality head-mounted display during cervical spine mobility measurement. , 2015, Journal of biomechanics.

[11]  J. Rosen,et al.  Virtual reality in surgical training. , 2000, Surgical oncology clinics of North America.

[12]  Kuem Ju Lee,et al.  Association Between Unsafe Driving Performance and Cognitive‐Perceptual Dysfunction in Older Drivers , 2011, PM & R : the journal of injury, function, and rehabilitation.

[13]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[14]  S. Lo,et al.  Evaluation of cervical range of motion and isometric neck muscle strength: reliability and validity , 2002, Clinical rehabilitation.

[15]  Kevin Kok Wai Wong,et al.  A Review of Using Virtual Reality for Learning , 2008, Trans. Edutainment.

[16]  M. Tinetti,et al.  Development of a Test Battery to Identify Older Drivers at Risk for Self‐Reported Adverse Driving Events , 1998, Journal of the American Geriatrics Society.

[17]  R. Swinkels,et al.  Normal Values for Cervical Range of Motion , 2014, Spine.

[18]  Barney Dalgarno,et al.  What are the learning affordances of 3-D virtual environments? , 2010, Br. J. Educ. Technol..

[19]  R B Isler,et al.  Age related effects of restricted head movements on the useful field of view of drivers. , 1997, Accident; analysis and prevention.

[20]  M. Sivak,et al.  Recent Changes in the Age Composition of Drivers in 15 Countries , 2012, Traffic Injury Prevention.

[21]  Erdem Basci Learning by imitation , 1999 .

[22]  T. R. Garrett,et al.  Normal range of motion of the cervical spine: an initial goniometric study. , 1992, Physical therapy.

[23]  Bryan Reimer,et al.  Effects of Age on Spinal Rotation during a Driving Task , 2008 .

[24]  T. Eames THE VISUAL FIELDS , 1955 .

[25]  Andy H. Lee,et al.  Using a driving simulator to identify older drivers at inflated risk of motor vehicle crashes. , 2003, Journal of safety research.

[26]  M L Lin,et al.  A Method for Evaluating Head-Controlled Computer Input Devices Using Fitts' Law , 1990, Human factors.

[27]  Maureen K. Holden,et al.  NEUROREHABILITATION USING ‘ LEARNING BY IMITATION ’ IN VIRTUAL ENVIRONMENTS , 2002 .

[28]  Patrice L Weiss,et al.  Cervical Motion Assessment Using Virtual Reality , 2009, Spine.

[29]  Gayla M. Cissell,et al.  Ten years down the road: predictors of driving cessation. , 2010, The Gerontologist.

[30]  Kenneth W. Gish,et al.  Model driver screening and evaluation program final technical report: volume 1: project summary and model program recommendations , 2003 .

[31]  Kaarin J Anstey,et al.  A Multidomain Approach for Predicting Older Driver Safety Under In‐Traffic Road Conditions , 2008, Journal of the American Geriatrics Society.

[32]  H Kenneth Walker,et al.  Clinical methods: The history, physical, and laboratory examinations , 1976 .

[33]  Tania Dukic,et al.  Older drivers’ visual search behaviour at intersections , 2012 .

[34]  Gayla M. Cissell,et al.  Can High‐Risk Older Drivers Be Identified Through Performance‐Based Measures in a Department of Motor Vehicles Setting? , 2006, Journal of the American Geriatrics Society.

[35]  L. Molnar,et al.  ASSESSMENT OF OLDER DRIVERS' CAPABILITIES: A REVIEW OF THE LITERATURE , 1998 .

[36]  S. MacDonald,et al.  Variability in reaction time performance of younger and older adults. , 2002, The journals of gerontology. Series B, Psychological sciences and social sciences.

[37]  H. Allore,et al.  A Randomized Trial of a Physical Conditioning Program to Enhance the Driving Performance of Older Persons , 2007, Journal of General Internal Medicine.

[38]  Patrick T McCoy,et al.  COUNTERMEASURES TO IMPROVE THE DRIVING PERFORMANCE OF OLDER DRIVERS , 1994 .