Piloting Performance And Safety

1674 Words 7 Pages
Register to read the introduction… Consequently, “pilots have cited workload as one of the most important reasons for employing automation” (Muthard & Wickens, 2008, p. 2). Respectively, other widely voiced problems with older pilots are about variations in cognitive potential—reduced capacity to stay ahead of the plane, maintain situational alertness (SA), divide attention between multiple tasks, and communicate well. “Since 1960, when the FAA instituted the so-called “Age 60 Rule” for air carrier pilots, the relationship between age, piloting performance and safety has inspired much debate and many questions” (Air Safety Institute, n.d., p.3). A considerable amount of scientific study has been undertaken in these fields, and although there are numerous points of accord among the various studies, it appears uncommon to get two publications whose findings yield identical results (Causse, Dehais, Arexis, & Pastor, 2011). Moreover, pilots above 60 years on average perform poorly on multiple task tests in comparison to younger aviators, particularly when the assignment demands precise control and high attention (Kennedy et al, 2010). Besides, age is negatively linked to numerous measures of Cogscreen AE battery—a cognitive battery …show more content…
The quantitative data shows preference frequency of mixed key variables.
Data collection and Variables
A number of steps were taken to decrease the variables into homogenized composite variables. Spearman’s rank correlation method was used to analyze the data. The relationship between age and the cognitive variables of (working memory, speed of processing data, reasoning, and inhibition) was measured and data presented in tabular form. Also, flight performance was measured against the neuropsychological variables identified above. Working memory, speed processing, reasoning, and inhibition were some of the dependent variables in this study. The independent variables in this research were pilot age and experience.
Target
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(1997). Cognition and flight performance in older pilots. Journal of Experimental Psychology, 3(4), 313-348. Retrieved from http://archlab.gmu.edu/people/rparasur/Documents/Hardy97.pdf
Kennedy, Q., Taylor, J., Reade, G. & Yesavage, J. (2010). Age and expertise effects in aviation decision making and flight control in a flight simulator. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905035/
Muthard, E., & Wickens, C. (2003). Factors that mediate flight plan monitoring and errors in plan revision: planning under automated and high workload conditions. Retrieved from http://www.aviation.illinois.edu/avimain/papers/research/pub_pdfs/isap/mutwic.pdf
National Transportation Safety Board. (2005). Risk factors associated with weather-related general aviation accidents. Safety Study NTSB/SS-05/01. Retrieved from http://www.ntsb.gov/doclib/safetystudies/SS0501.pdf
Schriver, T., Morrow, D., Wickens, C., & Talleur, A. (2008). Expertise differences in attentional strategies related to pilot decision making. Hum Factors., 50, 864–878.
Wood, J. (December 14, 2011). Aging gracefully, flying safely. General Aviation

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