The article scrutinizes the basis of preceding discoveries of a link amid directories of driving safety and optical motion sensitivity (Lacherez, Au, & Wood, 2012). The article also examines whether this connection could be described using low-level variations in visual function. In the article, 36 participants have been enrolled. The members are aged between 19 and 80 years (Lacherez et al., 2012). The participants were required to undertake a battery of typical vision assessments.
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The trails comprised of visual perspicacity, contrast sensitivity, and programmed optical fields. Members also took a hazard perception test. The trial assessed participants’ response intervals to hazards entrenched in video footage of actual driving. The results indicated that Dmin for the random-dot stimulus fluctuated from −0.880 to −0.120 (Lacherez et al., 2012). On the other hand, the log time of the curve and the least drift rate for the Gabor impetus varied from 0.010 to 0.350 sets in every second (Lacherez et al., 2012). Both trials forecasted retort times on the HPT.
Based on the article, it is apparent that people with this type of disorder have to cope with many driving issues and reasonable limitations. As such, the disease increases the risk of crashing and other related driving difficulties. Researchers have indicated that motion awareness may be predictive of a series of guides of driving routine and care (Yiend & Mathews, 2004). Notably, it has been established that aging impairs time-to-contact decisions and sensitivity to speed and heading. The above features are important features of visual insight that relate to driving.
Lacherez, P., Au, S., & Wood, J. (2012). Visual motion perception predicts driving hazard perception ability. Acta Ophthalmologica, 92(1), 88-93.
Yiend, J., & Mathews, A. (2004). Cognition, emotion, and psychopathology. Cambridge, UK: Cambridge University Press.