A modified version of the flicker technique to induce change blindness was used to examine the effects of time constraints on decision-making accuracy at intersections on a total of 62 young (18-25 years), middle-aged (26-64 years), young-old (65-73 years), and old-old (74 + years) drivers. Thirty-six intersection photographs were manipulated so that one object (i.e., pedestrian, vehicle, sign, or traffic control device) in the scene would change when the images were alternated for either 5 or 8 s using the modified flicker method. Young and middle-aged drivers made significantly more correct decisions than did young-old and old-old drivers. Logistic regression analysis of the data indicated that age and/or time were significant predictors of decision performance in 14 of the 36 intersections. Actual or potential applications of this research include driving assessment and crash investigation.
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References
1.
Ball, K., & Owsley, C. (1991). Identifying correlates of accident involvement for the older driver. Human Factors, 33, 583-595.
2.
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 adults. Investigative Ophthalmology and Visual Science, 34, 3110-3123.
3.
Caird, J. K. (2004). In-vehicle, intelligent transportation systems (ITS) and older drivers' safety and mobility. In Transportation in an aging society: A decade of experience (pp. 236-255). Washington, DC: Transportation Research Board.
4.
Caird, J. K., & Chugh, J. (1997). The time cost of head-up displays for older drivers: Critical event onset, task location, and display type. In Proceedings of the Human Factors and Ergonomics Society 41st Annual Meeting (pp. 1008-1012). Santa Monica, CA: Human Factors and Ergonomics Society.
5.
Caird, J. K., Edwards, C. J., Creaser, J. I., & Horrey, W. J. (2002). Contributing factors to accidents at intersections for older drivers (Report No. TP13939E). Montreal, Canada: Transport Development Centre, Transport Canada.
6.
Caird, J. K., & Hancock, P. A. (2002). Left turn and gap acceptance accidents. In R. E. Dewar, & R. Olson (Eds.), Human factors in traffic safety (pp. 591-640). Tucson, AZ: Lawyers & Judges.
7.
Caird, J. K., Horrey, W. J., & Edwards, C. J. (2001). Effects of conformal and non-conformal vision enhancement systems on older driver performance. Transportation Research Record, 1759, 38-45.
8.
Cairney, P., & Catchpole, J. (1996). Patterns of perceptual failures at intersections of arterial roads and local streets. In A. G. Gale, I. D. Brown, C. M. Haslegrave, & S. P. Taylor (Eds.), Vision in vehicles V (pp. 87-94). Amsterdam: Elsevier Science.
9.
Chu, X. (1994). The effect of age on driving habits of the elderly: Evidence from the 1990 National Personal Transportation Study (Report No. DOT-T-95-12). Washington, DC: U.S. Department of Transportation.
10.
Delorme, D., & Martin-Lamellet, C. (1998). Age-related effects on cognitive processes: Application to decision making under uncertainty and time pressure. In J. Graafmans, V. Taiple, & N. Charness (Eds.), Gerontechnology (pp. 124-127). Burke, VA: IOS Press.
11.
Drakopoulos, A., & Lyles, R. W. (1997). Driver age as a factor in comprehension of left-turn signals. Transportation Research Record, 1573, 76-85.
12.
Evans, L. (1988). Risk of fatality from physical trauma versus sex and age. Journal of Trauma, 28, 368-378.
13.
Guerrier, J. H., Manivannan, P., & Nair, S. N. (1999). The role of working memory, field dependence, visual search, and reaction time in left turn performance of older female drivers. Applied Ergonomics, 30, 109-119.
14.
Hakamies-Blomqvist, L. (1993). Fatal accidents of older drivers. Accident Analysis and Prevention, 25, 19-27.
15.
Hakamies-Blomqvist, L. (1994). Compensations in older drivers as reflected in their fatal accidents. Accident Analysis and Prevention, 26, 107-112.
16.
Hakamies-Blomqvist, L., & Henriksson, P. (2000). Cohort effects in older drivers' accident type distribution: Are older drivers as old as they used to be?Transportation Research, Part F, 2, 131-138.
17.
Hauer, E. (1988). The safety of older persons at intersections. In Special Report 218: Transportation in an aging society (Vol. 2, pp. 195-252). Washington, DC: Transportation Research Board, National Research Council.
18.
Ho, G., Scialfa, C. T., Caird, J. K., & Graw, T. (2001). Traffic sign conspicuity: The effects of clutter, luminance, and age. Human Factors, 43, 194-207.
19.
Insurance Institute for Highway Safety. (2000). IIHS fatality facts: Elderly.Washington, DC: Author.
20.
Keskinen, E., Ota, H., & Katila, A. (1998). Older drivers fail in intersections: Speed discrepancies between older and younger male drivers. Accident Analysis and Prevention, 30, 323-330.
21.
Lerner, N. (1994). Age and driver time requirements at intersections. In Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting (pp. 842-846). Santa Monica, CA: Human Factors and Ergonomics Society.
22.
Mack, A., & Rock, I. (1998). Inattentional blindness.Cambridge, MA: MIT Press.
23.
Massie, D. L., Cambell, K. L., & Williams, A. F. (1995). Traffic accident involvement rates by driver age and gender. Accident Analysis and Prevention, 27, 73-87.
24.
McDowd, J. M., & Shaw, R. J. (2000). Attention and aging: A functional perspective. In F. I. M. CraikF. I. M. Craik, & T. A. Salthouse (Eds.), The handbook of aging and cognition (2nd ed., pp. 221-292). Mahwah, NJ: Erlbaum.
25.
McGwin,G., Jr., & Brown, D. B. (1999). Characteristics of traffic crashes among young, middle-aged, and older drivers. Accident Analysis and Prevention, 31, 181-198.
26.
Menard, S. (1995). Applied logistic regression analysis.Thousand Oaks, CA: Sage.
27.
O'Regan, J. K., Rensink, R. A., & Clark, J. J. (1999). Change blindness as a result of "mudsplashes". Nature, 398, 34.
28.
Owsley, C. (2004). Traveler capabilities. In Transportation in an aging society: A decade of experience (pp. 44-55). Washington, DC: Transportation Research Board.
29.
Owsley, C., Ball, K., McGwin, G., Jr., Sloane, M. E., Roenker, D. L., White, M. F., et al. (1998). Visual processing impairment and risk of motor vehicle crash among older adults. Journal of the American Medical Association, 279, 1083-1088.
30.
Owsley, C., Ball, K., Sloane, M. E., Roenker, D. L., & Bruni, J. R. (1991). Visual/cognitive correlates of vehicle accidents in older drivers. Psychology and Aging, 6, 403-415.
31.
Parasuraman, R., & Nestor, P. G. (1991). Attention and driving skills in Alzheimer's disease. Human Factors, 33, 539-557.
32.
Pedhazur, E. J. (1997). Multiple regression in behavioral research, explanation and prediction (3rd ed.). Orlando, FL: Harcourt Brace College.
33.
Ponds, R. W. H. M., Brouwer, W. H., & van Wolffelaar, P. C. (1988). Age differences in divided attention in a simulated driving task. Journal of Gerontology, 43, 151-156.
34.
Preusser, D. F., Williams, A. F., Ferguson, S. A., Ulmer, R. G., & Weinstein, H. B. (1998). Fatal crash risk of older drivers at intersections. Accident Analysis and Prevention, 30, 151-159.
35.
Pringle, H. L. (2000). The role of scene characteristics, memory and attentional breadth of complex real-world scenes. Unpublished doctoral dissertation, University of Illinois, Urbana-Champaign.
36.
Pringle, H. L., Irwin, D. E., Kramer, A. F., & Atchley, P. (2001). Relationship between attention and perceptual change detection in driving scenes. Psychonomic Bulletin and Review, 8, 89-95.
37.
Rensink, R. A. (2000). The dynamic representation of scenes. Visual Cognition, 7, 17-42.
38.
Rensink, R. A. (2002). Change detection. Annual Review of Psychology, 53, 245-277.
39.
Rensink, R. A., O'Regan, J. K., & Clark, J. J. (1997). To see or not to see: The need for attention to perceive changes in scenes. Psychological Science, 8, 368-373.
40.
Rensink, R. A., O'Regan, J. K., & Clark, J. J. (2000). On the failure to detect changes in scenes across brief interruptions. Visual Cognition, 7, 127-145.
41.
Richard, C. M., Wright, R. D., Ee, C., Prime, S. L., Shimizu, Y., & Vavrik, J. (2002). Effect of a concurrent auditory task on visual search performance in a driving-related image-flicker task. Human Factors, 44, 108-119.
42.
Rumar, K. (1990). The basic driver error: Late detection. Ergonomics, 33, 1281-1290.
43.
Schiff, W., Oldak, R., & Shah, V. (1992). Aging person's estimates of vehicular motion. Psychology and Aging, 7, 518-525.
44.
Scialfa, C. T., Kline, D. W., & Lyman, B. J. (1987). Age differences in target identification as a function of retinal location and noise level: Examination of the useful field of view. Psychology and Aging, 2, 14-19.
45.
Scialfa, C. T., Thomas, D. M., & Joffe, K. M. (1994). Age differences in the useful field of view: An eye movement analysis. Optometry and Vision Science, 71, 736-742.
46.
Simons, D. J., & Levin, D. T. (1997). Change blindness. Trends in Cognitive Neuroscience, 1, 261-267.
47.
Stamatiadis, N., & Deacon, J. A. (1998). Trends in highway safety: Effects of an aging population on accident propensity. Accident Analysis and Prevention, 27, 443-459.
48.
Staplin, L. (1995). Simulator and field measures of driver age differences in left-turn gap judgments. Transportation Research Record, 1485, 49-55.
49.
Staplin, L., & Lyles, R. W. (1991). Age differences in motion perception and specific traffic maneuver problems. Transportation Research Record, 1325, 23-33.
50.
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Toronto: Allyn & Bacon.
51.
Theeuwes, J. (1996). Visual search at intersections: An eye movement analysis. In A. G. Gale, I. D. Brown, C. M. Haslegrave, & S. P. Taylor (Eds.), Vision in vehicles V (pp. 125-134). Amsterdam: Elsevier Science.
52.
Treat, J. R. (1980). A study of the precrash factors involved in traffic accidents. Highway Safety Research Institute Review, 10, 1-35.
53.
Wickens, C. D. (2001). Attention to safety and the psychology of surprise. In Proceedings of the 2001 Symposium on Aviation Psychology (n.p.). Columbus: Ohio State University.
54.
Yantis, S. (1998). Control of visual attention. In H. Pashler (Ed.), Attention (pp. 223-256). East Sussex, UK: Psychology Press.
