Assessing Cognitive Workload of Aircraft Pilots Through Face Temperature

This research delves into the intricate interplay between mental workload and facial temperature among participants undergoing simulated aircraft takeoff scenarios. Our objective was to discern how workload impacts facial temperature within the context of a flight simulator. Ten individuals were enlisted to serve as pilots in simulated A-320 flights, navigating through six distinct scenarios designed to mimic various levels of mental workload during takeoff, including both routine and emergency situations. We meticulously collected data, amassing a total of 120 takeoff instances and over 10 h of time-series data encompassing heart rate, workload assessments, and facial thermal images and temperatures. Through thorough comparative analysis of EEG data and different types of thermal images, compelling insights emerged. Notably, we observed a pronounced inverse relationship between workload and facial muscle temperatures, alongside facial landmark points. The implications of these findings extend beyond mere academic curiosity, offering valuable insights into the physiological repercussions of workload. Moreover, they hold promise for enhancing aviation safety protocols and optimizing pilot performance in demanding scenarios involving human interaction.