Real Time Research Methods: Monitoring Air Traffic Controller Workload During Simulation Studies Using Electroencephalography

measure the effects of automation changes or new task demands on controller/pilot workload and performance is critical. Much of the EEG research has focused on identifying specific cognitive states associated with levels of workload during post processing. However, there are potential benefits for researchers to having EEG results as a continuous measure that can be observed during simulation experiments. This demonstration is a workload gauge that processes EEG data in real time as the Air Traffic Controller (ATC) participant is performing basic cognitive and operational ATC tasks. The visualizations demonstrated are also available during post processing to enable investigation of the continuous relationships between ATC situational variables, controller performance, and EEG