
evaluation of controller workload via eye-tracking
1 February 2025
Understanding and optimizing air traffic controller workload is critical for safe and efficient airspace management. This student research opportunity focuses on integrating the SmartEye eye-tracking system into a high-fidelity air traffic simulation environment. With SmartEye, controllers' gaze direction is tracked in real time, offering valuable insights into cognitive workload and decision-making processes. To ensure precise measurements, you will:
- Design and implement an experimental setup for system calibration
- Conduct a measurement campaign to fine-tune accuracy
- Analyze real-world data and validate the system with controllers in a live test run
This project provides hands-on experience with state-of-the-art eye-tracking technology and contributes to ongoing research in air traffic management and human factors.