Determining the Key Factors Affecting Pseudo-Pilot Workload Based on Real-Time Simulations

Abstract

Pseudo-pilots work in real-time simulations in air traffic control training and carry out an important task to ensure appropriate training for the trainee controllers. They are in constant communication with controllers during the training and are responsible for fulfilling the instructions given by the controllers. Unlike real operations, pseudo-pilots are required to monitor many aircraft simultaneously on the simulator’s radar screen and perform various interventions. This situation can be challenging, and the impact of such situations on their workload is usually neglected. In the literature, various studies have revealed the factors affecting controller workload; however, the factors affecting the workload of pseudo-pilots have not been emphasized. In this study, statistical analyses were carried out using the data obtained from real-time simulations and NASA-TLX surveys. As a result, the number of aircraft, controller performance, and the interruption duration were determined as the key factors that affect the overall workload of pseudo-pilots.