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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