ADAPTIVE PILOT PERFORMANCE OPTIMIZING: VALIDATION AND HUMAN BEHAVIOR ADJUSTMENT

This paper will present the final preliminary stage of validation results and human behaviour adjustment build on data acquired during pre-production use of an intelligent system able to improve assessments of aircraft piloting abilities. Optimized components of these abilities are provided, along with the base for decision making process concerning the pilots' and candidates' hierarchy and their admittance in specific flight training programs. Data analyzed and results emerge from the system recorded performance parameters based on measuring the differences between ideal trajectories according to assigned missions and the real trajectories in simulated flights. These differences were measured in 3D space (on each axis: Ox - longitudinal axis, Oy - transversal axis, Oz - vertical axis). The data acquisition stream rate is 2 samples per second. Each of these variables is afterwards processed so that a set of performance data can be synthesized (e.g.: average values, symmetry and form of distributions). All results are thoroughly analyzed, as well as their psychological meanings and consequences for final release of intelligent system.