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