The goal of this multi-year research project was to develop methods for assessing the efficacy of training (including live and simulated platforms) by validating measures of cognitive workload that characterize skill acquisition.
10 evaluation pilots (100-300 flight hours of experience) were selected to perform low, medium and high difficulty flight manoeuvres in both a jet flight simulator and live jet flight (Aero Vodochody L-29 jet trainer) using experimental conditions. During flight ECG data (NeXus-4) and eye-tracking data (Dikablis) was collected. Flight performance was analysed for altitude, roll, and vertical speed errors, and cognitive workload was subjectively assessed (10-point Bedford Workload Scale). As a validated tool for evaluating perceptual-cognitive skills, NeuroTracker was selected as to measure spare cognitive capacity via extraneous load (Cognitive Load Theory). All pilots first completed home-based NeuroTracker consolidation training (15 Core sessions). NeuroTracker was integrated into the flight testbed. Low, medium and high difficulty flight manoeuvre tests were performed by all pilots, both without NeuroTracker, and while simultaneously performing NeuroTracker Core sessions.
Compared to performing NeuroTracker alone, live and simulated flight across all manoeuvres, caused a drastic decrease in NeuroTracker speed thresholds (average of ~97%). This, perhaps for the first time, objectively demonstrated that jet flight involves very high intrinsic cognitive loads. Live flight resulted in lower NeuroTracker speed thresholds and physiological performance than simulated flight, with greater differences for higher difficulty maneuverers. This evidence suggests that physiological and cognitive loads are significantly heavier in live flight, supporting the theory that that brain dynamics differ in real-world environments compared to those of a laboratory.
NeuroTracker baselines are a strong predictor of multiple performance measures of simulated air traffic control abilities.
To investigate of NeuroTracker baselines can be a predictor of air traffic control task performance.
46 participants completed 2 hours of assessments including a NeuroTracker baseline, the Corsi Block Tapping and Automated Operation Span tests, followed by a simulated air traffic control task.
After controlling for age and video game playing, NeuroTracker baselines significantly predicted correct detections of conflicts between aircraft, fewer false alarm responses to conflicts, and faster aircraft acceptance and hand-off performance. NeuroTracker was a stronger predictor of these outcomes, than the Corsi Block Tapping and Automated Operation Span tests. The researchers concluded that the findings demonstrate that NeuroTracker and could be useful for applicant screening and selection of air traffic control personnel.