Pilot Performance Modelling of Carrier-Based Aircraft Landing Missions with Applications in Human-Machine Systems Design

Abstract

To solve the evaluation problem of human-machine interface (HMI) design in the carrier aircraft landing phase, to optimize the design scheme, to improve the operational efficiency and safety of pilots in the critical phase of carrier aircraft landing, and to quantify the performance of the pilot’s cognitive behavior model based on the QN-MHP model to provide a new method for HMI design. In the QN-MHP theoretical framework and neuroscientific mechanism, the pilot’s “perception-cognition-action” control pathway and production rule base were constructed. Human cognition and behavior simulation software was used to simulate the landing task, analyze the operation error rate and reaction time under different interface designs, and achieve prediction and evaluation without experimental data. The QN-MHP model can effectively reveal the cognitive mechanisms of pilots in complex tasks, overcome the limitations of traditional experimental evaluation methods, and systematically compare the efficiency of different interface solutions. The simulation verifies the applicability of the model in the design evaluation of human-machine interfaces for complex equipment, and it will be extended to full process modelling in the future to support the optimization of human factors engineering and the improvement of combat effectiveness of shipboard aircraft.

Keywords

QN-MHP model cognitive behavior modeling pilot performance optimization

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