ERIC Number: ED044020
Record Type: RIE
Publication Date: 1969-Oct
Reference Count: N/A
Study of Adaptive Mathematical Models for Deriving Automated Pilot Performance Measurement Techniques. Volume II. Appendices. Final Report.
Connelly, E. M.; And Others
A new approach to deriving human performance measures and criteria for use in automatically evaluating trainee performance is described. Ultimately, this approach will allow automatic measurement of pilot performance in a flight simulator or from recorded in-flight data. An efficient method of representing performance data within a computer is described. A system of adaptive mathematical and computer models is developed to examine representative performance data corresponding to know n skill levels and to independently develop a unique method of performance evaluation. Three types of models are developed, each of which is designed to derive and use unique types of performance measures: (1) state-transfer measures, based on overall trends of the performance; (2) absolute measures, based on a comparison of actual performance with some reference or standard; and (3) relative measures, based on relations among various performance variables. A preliminary demonstration and an evaluation of the system are presented, using a simulated aircraft landing program to provide hypothetical test data. (Author/JY)
Descriptors: Analysis of Variance, Automation, Flight Training, Mathematical Models, Measurement Techniques, Performance Criteria, Programing, Simulation
National Technical Information Service, Springfield, Virginia 22151 (AD-704 115, MF $.95, HC $3.00)
Publication Type: N/A
Education Level: N/A
Sponsor: Air Force Human Resources Lab., Wright-Patterson AFB, OH.
Authoring Institution: Melpar Div. of American Standard, Inc., Falls Church, VA.
Note: See also Volume I, AD-704 597