AVIATION APPLICATIONS
- MEDICAL RECERTIFICATION OF AVIATORS WITH MEDICAL, NEUROLOGIC AND PSYCHIATRIC
CONDITIONS.
- HEAD INJURY, ALCOHOLISM, HIV ETC.
- EVALUATION OF PILOTS WITH PERFORMANCE PROBLEMS
- PROFICIENCY PROBLEMS (BUSTED PC)
- TRANSITION TRAINING PROBLEMS (727 -> 767)
- BASELINE TESTING
- USAF ENHANCED FLIGHT SCREEN PROGRAM
- AIRLINE NEW HIRES
- PILOT SELECTION
CogScreen and Flight Performance (Review
1)
- Studies Documenting Relationship Between CogScreen and Flight Performance
Hyland DT et al
Age 60 Study, Part IV: Experimental evaluation of pilot performance. Washington
DC: Office of Aviation Medicine 1994; DOT/FAA/AM-94/23.
Yakimovich et al
CogScreen as a predictor of flight performance in Russian pilots. Paper
presented at 65th annual meeting of the Aerospace Medical Association, San
Antonio, TX, May 1994.
CogScreen and Flight Performance (Review
2)
- Studies Documenting Relationship Between CogScreen and Flight Performance
Hoffmann CC et al
The Role that cognitive ability plays in CRM. Paper presented at NATO Symposium,
Human Factors & Medicine Panel on collaborative Crew Performance in Complex
Operational Systems, Edinburgh, Scotland, April 1998.
Taylor et al
Relationship of CogScreen-AE to Flight Simulator Performance and Pilot Age.
Aviation, Space, and Environmental Medicine, 71(4) 373-380, 2000.
CogScreen and Flight Performance (Yakimovich)
Yakimovich et al. (1994). Russian Flight Data Recorder (FDR) Study
METHOD: Analyzed logs of flight parameter violations obtained from FDR.
Violation frequency was compared to CogScreen test performance.
Violations were obtained from a computer program which analyzes flight data
recorder information. The list of violations were obtained for 75 Captains
over a period of 3 years in two commercial jet aircraft (IL-86 and TU-154).
RESULTS: Flight performance was found to be significantly correlated (p
< .01) with 11 CogScreen variables. Correlations ranged from r=.30 to r=.17
(highest for DAT, SAT, BDS, MTS)
Regression Analysis
TU-154 x DAT,DTT,SAT R2=.32
IL-86 x PF, BDS, DTT R2=.46
CogScreen and Flight Performance (Taylor)
Taylor et al. (2000). Relationship between CogScreen AE factor scores and
flight simulator performance in aircraft pilots aged 50-69
METHOD: Subjects: 100 licensed pilots, 58 +/- 3 years
Simulator: Frasca Model 141
Flight parameters: staying on course, dialing in communication frequencies,
avoiding conflicting traffic, monitoring cockpit instruments, executing
approach.
Analysis used five composite CogScreen scores:
Speed/Working Memory, Visual Association Memory, Motor Coordination, Tracking.
Attribute Identification
RESULTS: CogScreen Speed/Working Memory had the highest correlation with
the flight summary score (r=0.57)
Four CogScreen variables could account for 45% of the variance in flight
summary scores: Speed/Working Memory, Visual Associative Memory, Motor Coordination,
Tracking
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