This study examined the relationship between measures of cue utilization and decision selection in the context of pre-flight decision-making. Fifty one licensed pilots participated in an on-line assessment of cue utilization using the program EXPERTise. The results revealed a relationship between cue utilization and decision selection in a pre-flight decision scenario. Overall, the results suggest a role for assessments of cue utilization in the evaluation of pilots’ capacity for effective weather-related decision-making.
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References
1.
BallJ. (2008). The impact of training on general aviation pilots’ ability to make strategic weather-related decisions. Washington, DC: Federal Aviation Administration (NTIS DOT/FAA/AM-08/03).
2.
CroskerryP. (2009). A universal model of diagnostic reasoning. Academic Medicine, 84, 1022-1028.
3.
HunterD.R. (2006). Risk perception among general aviation pilots. The International Journal of Aviation Psychology, 16, 135-144.
4.
KnechtW.HarrisH.ShappellS. (2005). The influence of visibility, cloud ceiling, financial incentive, and personality factors on general aviation pilots’ willingness to take-off into marginal weather. Washington, DC: Federal Aviation Administration (NTIS DOT/FAA/AM-05/7).
5.
National Aeronautics and Space Administration. (2007). General aviation weather encounters. Washington, DC: Author.
6.
National Transportation Safety Board. (2005). Safety study: Risk factors associated with weather-related general aviation accidents. Washington, DC. Author (NTIS NTSB/SS-05/01).
7.
MorrisonB.WigginsM.W.BondN.W.TylerM.D. (2009). Examining cue recognition across expertise using a computer-based task. In Proceedings of the 9th International Conference on Naturalistic Decision Making (pp. 91-98). Swindon, UK: British Computer Society.
8.
O’HareD.SmitheranT. (1995). “Pressing on” into deteriorating conditions: An application of behavioural decision theory to pilot decision making. The International Journal of Aviation Psychology, 5, 351-370.
9.
ShanteauJ.WeissD.J.ThomasR.P.PoundsJ.C. (2002). Performance-based assessment of expertise: How to decide if someone is an expert or not. European Journal of Operations Research, 136, 253-263.
10.
SchvaneveldtR. W.DursoF. T.GoldsmithT. E.BreenT. J.CookeN. M.TuckerR. G.De MaioJ. C. (1985). Measuring the structure of expertise. International Journal of Man-Machine Studies, 23, 699-728.
11.
WiegmannD.A.GohJ.O’HareD. (2002). The role of situation assessment and flight experience in pilots’ decisions to continue visual flight rules flight into adverse weather. Human Factors, 44, 189-197.
12.
WigginsM.W. (2006). Cue-based processing and human performance. In KarwowskiW. (Ed.), Encyclopedia of ergonomics and human factors (2nd ed) (pp. 641-645). London, UK: Taylor and Francis.
13.
WigginsM.W. (2012). Making Sense of Sustainability: Cue-Based Approaches to Sustainable Organizational Performance. In AveryG.HughesB. (Eds.), Fresh thoughts & new research in sustainable leadership (pp. 38-49) Melbourne, AUS: Tilde University Press.
14.
WigginsM.ConnanN.MorrisC. (1996). Weather-related decision-making and self-perception amongst pilots. In HaywardB.J.LoweA.R. (Eds.), Applied aviation psychology: Achievement, change and challenge (pp. 193-200). Aldershot, UK: Ashgate.
15.
WigginsM.W.HunterD.R.O’HareD.MartinussenM. (2012). Deliberate versus Inadvertent Visual Flight into Instrument Meteorological Conditions. Safety Science, 50, 472-477.
16.
WigginsM.W.O’HareD. (1995). Expertise in aeronautical weather-related decision-making: A cross-sectional analysis of general aviation pilots. Journal of Experimental Psychology: Applied, 1, 305-320.
