In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Aviation safety relies greatly on understanding human factors and pilot behaviour. This study uses innovative eye-tracking biometrics and predictive analytics to enhance aviation landing performance in a twin-engine Piper Seneca simulation. With a Tobii Glass 3 eye tracker, gaze patterns from two pilots …

Purpose This study aims to identify variability in aviation operators in order to gain greater understanding of the changes in aviation professional groups. Research has commonly addressed human factors and automation in broad categories according to a group’s function (e.g., pilots, air traffic controllers …

This paper presents the findings from a ‘Safety Differently’ (SD) case study in aviation, and specifically in a maintenance, repair and overhaul (MRO) organisation in Southeast Asia. The goal of the case study was to apply a new method of safety intervention that is part of the Safety Differently toolkit …

Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. …

Sleep quality and maintenance of the optimal cognitive functioning is of crucial importance for aviation safety. Fatigue Risk Management (FRM) enables the operator to achieve the objectives set in their safety and FRM policies. As in any other risk management cycle, the FRM value can be realized by deploying …