06/05/2026
Air traffic control depends on the ability to monitor multiple moving aircraft, anticipate conflicts, and act quickly without overreacting.
This study tested whether NeuroTracker multiple object tracking ability could help predict performance on a simulated air traffic control task.
Forty-six novice participants completed NeuroTracker, two working-memory tests, and a 30-minute ATC simulation involving aircraft acceptance, conflict detection, and hand-off.
Key findings:
- Higher NeuroTracker scores predicted more correct aircraft conflict detections
- Higher scores predicted fewer false alarm responses
- NeuroTracker also predicted faster aircraft hand-off performance
- NeuroTracker remained significant across more ATC outcomes than the working-memory measures
This is a useful applied finding because ATC performance relies on more than isolated working memory. It requires distributed attention, dynamic tracking, visual prediction, and rapid decision-making under continuous monitoring demands.
Although the task was simulated with novice participants, it supports the idea that NeuroTracker ability may capture cognitive skills relevant to aviation screening, training, and high-reliability operator roles.
Study: โNeuroTracker Multiple Object Tracking Ability Predicts Novice Performance on a Simulated Air Traffic Control Task.โ
https://www.neurotrackerx.com/science/neurotracker-multiple-object-tracking-ability-predicts-novice-performance-on-a-simulated-air-traffic-control-task