DOI QR코드

DOI QR Code

Comparisons of Middle-, Old-, and Stroked Old-Age Drivers' Reaction Time and Accuracy Based on Multiple Reaction Time Tasks

중다 반응시간 과제에 기반한 중년, 고령 및 뇌졸중 고령 운전자의 반응시간과 반응정확성에서의 차이 비교

  • Lee, Jaesik (Department of Psychology, Pusan National University) ;
  • Joo, Mijung (Department of Psychology, Pusan National University) ;
  • Kim, Jung-Ho (Department of Psychology, Pusan National University) ;
  • Kim, Young-Keun (Department of Occupational Therapy, Daegu Health College) ;
  • Lee, Won-Young (Traffic Science Institute, Road Traffic Authority) ;
  • Ryu, Jun-Beom (Traffic Science Institute, Road Traffic Authority) ;
  • Oh, Ju-Seok (Traffic Science Institute, Road Traffic Authority)
  • Received : 2016.09.29
  • Accepted : 2016.12.02
  • Published : 2017.03.31

Abstract

Differences in reaction time and accuracy were compared among driver groups of middle-, old-, and stroke old-age drivers using various reaction time tasks including simple reaction task, 2-choice task, 4-choice task with different stimuli eccentricity, search task, and moving target detection task. The results can be summarized as followings. First, although overall reaction time tended to be slowed with age and stroke, stroke old drivers showed significantly slower reaction time than the other driver groups when the stimuli were presented in a large eccentricity. Second, differences in reaction time for 2-choice task and moving target detection task seemed to be determined mainly by participants' simple reaction time. Third, the search task which required temporary retention of previously presented stimuli was found to be more sensitive in discriminating difference in reaction time between middle-age drivers and old-age drivers (including stroke old drivers). Fourth, reaction accuracy of old (and stroke old) drivers decreased when more stimuli alternatives were presented and temporary retention for stimuli was required. Altogether, memory demand in reaction time task can be sensitive to evaluate performance for different age groups, whereas size of useful field of view for brain stroke.

본 연구는 운전자 연령대와 뇌손상 여부에 따라 다양한 반응시간 과제에서의 반응시간과 반응정확성에서 어떠한 차별성이 있는지 살펴볼 목적으로 수행되었다. 이를 위해 30-50대의 중년운전자, 65세 고령운전자, 그리고 65세 이상의 뇌졸중 고령운전자들을 대상으로 단순반응, 2-선택반응, 자극 이심률을 달리한 4-선택반응, 탐색반응 및 동적자극 탐지 과제에 대한 수행을 비교하였다. 본 연구의 결과를 정리하면 다음과 같다. 첫째, 전반적으로 중년, 고령 및 뇌졸중 고령운전자 순으로 느린 반응시간을 보였으나 자극 이심률이 작은 조건($5^{\circ}$)에 비해 큰 조건($10^{\circ}$)에서 뇌졸중 고령운전자의 반응시간이 다른 집단에 비해 더 두드러지게 지연되었다. 둘째, 전체 반응시간에서 단순 반응시간을 감산한 반응시간을 분석한 결과, 2-선택반응 과제와 동적자극 탐지과제에서의 집단간 반응시간 차이는 유의하지 않았는데, 이것은 이러한 과제들에서의 반응시간 차이가 단순 반응시간에 의해 주로 결정된다는 것을 시사한다. 셋째, 일시적 기억을 요구하는 탐색과제에서는 두 고령운전자 집단이 중년운전자 집단에 비해 유의하게 느리고 부정확한 수행을 보였다. 넷째, 집단간 반응정확성에서의 차이는 선택 대안이 많은 과제와 기억을 요구하는 과제에서 두드러졌다. 이러한 결과는 기억 요구를 수반하는 탐색과제는 중년과 고령운전자 사이의 수행을, 반면 자극 이심률 조건은 뇌졸중 여부에 따른 고령운전자 집단에서의 수행 차이를 민감하게 반영할 수 있음을 시사한다.

Keywords

References

  1. Ball, K. K., Beard, B. L., Roenker, D. L., Miller, R. L., & Griggs, D. S. (1988). Age and visual search:Expanding the useful field of view. Journal of the Optical Society of America, 5(12), 2210-2219. https://doi.org/10.1364/JOSAA.5.002210
  2. Ball, K. & Owsley, C. (1993). The useful field of view test: a new technique for evaluating age-related declines in visual function. Journal of the American Optometric Association, 64(1), 71-79.
  3. Blane, A., Lee, H. C., Lee, M., Parsons, R., & Falkmer, T. (2016). The cognitive and socio-demographic influences on driving performance and driving cessation in post-stroke drivers. Advances in Transportation Studies, 38, DOI:10.4399/978885489209506
  4. Ball, K., Owsley, C., Sloane, M. E., Roenker, D. L., & Bruni, J. R. (1993). Visual attention problems as a predictor of vehicle crashes in older drivers. Investigative Ophthalmology and Visual Science, 34(11), 3110-3123.
  5. Bleecker, M. L., Bolla‐Wilson, K., Agnew, J., & Meyers, D. A. (1987). Simple visual reaction time: sex and age differences. Developmental Neuropsychology, 3(2), 165-172. https://doi.org/10.1080/87565648709540372
  6. Botwinick, J. & Thompson, L. W. (1966). Components of reaction time in relation to age and sex. The Journal of genetic psychology, 108(2), 175-183. https://doi.org/10.1080/00221325.1966.10532776
  7. Chattha, H. K. (2010). The Influence of Physical Activity on Driving Performance and Cognitive Functioning in Older Adults: A Randomized Controlled Trial. Ann Arbor: Lakehead University, Canada.
  8. Choi, S., Shun, H. J., & Lee, J. (2009). Effects of aging and mild cognitive impairment on working and recognition memory: implication on driving(노화와 경도 인지기능장애가 작업기억과 재인기억에 미치는 효과). The Korean Journal of Cognitive and Biological Psychology, 21(4), 355-375. https://doi.org/10.22172/cogbio.2009.21.4.007
  9. De Raedt, R., & Ponjaert-Kristoffersen, I. (2000). The relationship between cognitive/neuropsychological factors and car driving performance in older adults. Journal of the American Geriatrics Society, 48(12), 1664-1668. https://doi.org/10.1111/j.1532-5415.2000.tb03880.x
  10. Eby, D. W., Molnar, L. J., Shope, J. T., Vivoda, J. M., & Fordyce, T. A. (2003). Improving older driver knowledge and self-awareness through self-assessment: The driving decisions workbook. Journal of Safety Research, 34(4), 371-381. https://doi.org/10.1016/j.jsr.2003.09.006
  11. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). "Mini-mental state": a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-198. https://doi.org/10.1016/0022-3956(75)90026-6
  12. Gresset, J. A. & Meyer, F. M. (1994). Risk of accidents among elderly car drivers with visual acuity equal to 6/12 or 6/15 and lack of binocular vision. Ophthalmic and Physiological Optics, 14(1), 33-37. https://doi.org/10.1111/j.1475-1313.1994.tb00553.x
  13. Hakamies-Blomqvist, L. (1994). Compensation in older drivers as reflected in their fatal accidents. Accident Analysis & Prevention, 26(1), 107-112. https://doi.org/10.1016/0001-4575(94)90073-6
  14. Hakamies-Blomqvist, L., Siren, A., & Davidse, R. (2004). Older drivers: A review. Swedish National Road and Transport Research Institute, Sweden.
  15. Joo, M. & Lee, J. (2014). The relationship between older drivers' BIS/BAS and life satisfaction: mediating Effects of Mobility and Affectivity(고령 운전자의 접근/회피동기와 삶의 만족 사이의 관계: 이동성과 정서성의 매개효과). Korean Journal of the Science of Emotion & Sensibility, 17(4), 29-40. https://doi.org/10.14695/KJSOS.2014.17.4.29
  16. Kawasaki, A., Crippa, S., Anderson, S., & Kardon, R. H. (2005). The pupil response to large regional stimuli in patients with focal visual field loss. Neuro-Ophthalmology, 29(4), 143-147. https://doi.org/10.1080/01658100500323119
  17. Kerkhoff, G. (2000). Neurovisual rehabilitation: recent developments and future directions. Journal of Neurology, Neurosurgery & Psychiatry, 68(6), 691-706.
  18. Kim, Y. G. & Lee, J. (2014). The effect on disability of cognition and visual perception for driving situation comprehension. Journal of Rehabilitation Research, 18(6), 267-288.
  19. Lee, J. (2015). The relationship between older driver's subjective driving capability evaluation and driving mobility: A moderating effect of motivational characteristics(고령운전자의 주관적 운전역량 평가와 운전이동량 사이의 관계: 접근/회피동기의 조절효과). Journal of The Korean Data Analysis Society, 17(3), 1513-1530.
  20. Lee, J., Choi, H., & Lee, S. (2013). Driving state of the stroke patients after cognitive perceptual assessment for driving evaluation at the national rehabilitation center(국립재활원에서 운전인지평가를 받은 뇌졸중 환자의 운전 실태조사). Journal of Korean Academy Rehabilitation Medicine, 7(2), 117-124.
  21. Lee. J-M. (2001). Cognitive Psychology: History of Formation, Conceptual Foundations, and Perspectives, Seoul: Academy Network.
  22. Lundberg, C., Caneman, G., Samuelsson, S. M., Hakamies-Blomqvist, L., & Almkvist, O. (2003). The assessment of fitness to drive after a stroke: the Nordic Stroke Driver Screening Assessment. Scandinavian journal of psychology, 44(1), 23-30. https://doi.org/10.1111/1467-9450.00317
  23. Makishita, H. & Matsunaga, K. (2008). Differences of drivers' reaction times according to age and mental workload. Accident Analysis & Prevention, 40(2), 567-575. https://doi.org/10.1016/j.aap.2007.08.012
  24. Marmeleira, J., Ferreira, I., Melo, F., & Godinho, M. (2012). Associations of physical activity with driving-related cognitive abilities in older drivers: an exploratory study. Perception and Motor Skills, 115(2), 521-533. https://doi.org/10.2466/10.06.25.PMS.115.5.521-533
  25. Marottoli, R. A., Richardson, E. D., Stowe, M. H., Miller, E. G., Brass, L. M., Cooney Jr., L. M., et al. (1998). Development of a test battery to identify older drivers at risk for self-reported adverse driving events. Journal of the American Geriatric Society, 46(5), 562-568. https://doi.org/10.1111/j.1532-5415.1998.tb01071.x
  26. Mazer, B. L., Sofer, S., Korner-Bitensky, N., & Gelinas, I. (2001). Use of the UFOV to evaluate and retrain visual attention skills in clients with stroke: A pilot study. American Journal of Occupational Therapy, 55(5), 552-557. https://doi.org/10.5014/ajot.55.5.552
  27. McKnight, A. J. & McKnight, A. S. (1999). Multivariate analysis of age-related driver ability and performance deficits. Accident Analysis & Prevention, 31(5), 445-454. https://doi.org/10.1016/S0001-4575(98)00082-7
  28. Morgan, R. & King, D. (1995). The older driver-a review. Postgraduate Medical Journal, 71(839), 525-528. https://doi.org/10.1136/pgmj.71.839.525
  29. Moskowitz, H. & Robinson, C. D. (1988). Effects of low doses of alcohol on driving-related skills: A review of the evidence (No. HS-807 280).
  30. Nouri, F. M. & Lincoln, N. B. (1993). Predicting driving performance after stroke. British Medical Journal, 307(6902), 482.483. https://doi.org/10.1136/bmj.307.6902.482
  31. Park, M-O. (2013). The relationship between basic perceptual-cognitive function and driving: driving aptitude after brain injury(뇌병변 장애인의 기초 인지 지각과 운전적성능력의 관련성). The Journal of Korean Society of Occupational Therapy, 21(1), 71-79. https://doi.org/10.14519/jksot.2013.21.4.07
  32. Philip, P., Taillard, J., Quera-Salva, M. A., Bioulac, B., & Akerstedt, T. (1999). Simple reaction time, duration of driving and sleep deprivation in young versus old automobile drivers. Journal of Sleep Research, 8(1), 9-14. https://doi.org/10.1046/j.1365-2869.1999.00127.x
  33. Rogers, W. C. & Knipling, R. R. (2007). Commercial driver human factors. Transportation Research Circular E-C117, 92-112.
  34. Roth, D. L., Goode, K. T., Clay, O. J., & Ball, K. K. (2003). Association of physical activity and visual attention in older adults. Journal of Aging and Health, 15(3), 534-547. https://doi.org/10.1177/0898264303253512
  35. Rumar, K. (1986). Age and road user behaviour. In 4th Nordic Congress of Traffic Medicine, Helsingfors, Finland.
  36. Ryan, G. A., Legge, M., & Rosman, D. (1998). Age related changes in drivers' crash risk and crash type. Accident Analysis & Prevention, 30(3), 379-387. https://doi.org/10.1016/S0001-4575(97)00098-5
  37. Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders' method. Acta Psychologica, 30, 276-315. https://doi.org/10.1016/0001-6918(69)90055-9
  38. Triggs, T. & Harris, W. G. (1982). Reaction Time of Drivers to Road Stimuli. Human Factors Report HFR-12. Monash University, Australia.
  39. Welford, A. T. (1984). Between bodily changes and performance: some possible reasons for slowing with age. Experimental Aging Research, 10(2), 73-88. https://doi.org/10.1080/03610738408258548
  40. Wickens, D. (1992). Engineering Psychology and Human Performance, New York: Harper-Collins.