An Automated Measurement Technique for Evaluating Pilot Skill.
Abstract
This dissertation seeks to discover specific indicators of performance skill in pilot training. An algorithmic, performance state evaluation model was developed for an instrument flight maneuver with performance times and deviations from a standard flight path as indicators of skill. The algorithm's initial procedures and these indicators were used in 3 empirical investigations. The first showed that performance times can be used to enable an observer to discriminate between performances or performance states in performances by two experienced pilots. In the 2nd investigation, means of total performance time were found to discriminate between differences in treatments used in a training experiment with student pilots as subjects; and a priori predictions of differences in effects of these treatments on variability of group performances at a specified location were significant. In the final investigation, support was found for the hypothesis that a small set of specific indicators could be used to replace a summary indicator of variability in performances. Results of stepwise regression analyses indicated that 7 of 12 specific indicators could be used to account for 34% to 82% of the variance in the summary indicator over 6 performance trials.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1976
- Accession Number
- ADA033920
Entities
People
- Brian D. Shipley
Organizations
- Arizona State University