This research investigates how flight crews maintain Cognitive Resilience (CR) in modern, highly automated cockpit environments. Through the development of the Crew Cognitive Resilience Index (CCRI™), the project brings together concepts such as Situation Awareness (SA), Decision Accuracy (DA), Adaptive Performance (AP), Cognitive Load (CL), and Trust Calibration (TC) within a systems-theoretic perspective. Using Systems-Theoretic Process Analysis (STPA) as an organising lens, the research examines how human performance emerges from the interaction between people, automation, procedures, and organisational context, particularly when automation becomes degraded or uncertain.
Professor of Inclusive AI
Director of the Centre of AI & Future Inclusive Technologies (AI-FIT)
Associate Professor
Research and Impact Lead
Human Factors Manager
Emirates Flight Operations Training
This research now focuses less on the initial startle response and more on what happens after it. In highly automated flight environments, the key question is how pilots recover, regain focus, and adapt when routine performance is disrupted. This is helping refine the Crew Cognitive Resilience Index (CCRI™) to better understand performance and recovery under…
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Automation, assessment, and the unresolved question of cognitive resilience The cockpit did not evolve alone Commercial aviation is often described in technological generations. Early jets required continuous manual manipulation and mechanical interpretation. Integrated auto-flight systems shifted pilots into supervisory roles. Glass cockpits layered abstraction over raw data. Fly-by-wire introduced control laws that mediate pilot intent…
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Why Crew Cognitive Resilience Matters in an Automated Aviation System? Modern aviation is often described as data-rich, highly regulated, and increasingly automated. In many respects, this is true, and it has delivered extraordinary levels of safety and efficiency. Yet these same characteristics raise an important and often under-examined question: What happens when safety and resilience…
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