RE: Air Asia India24 Aug 2022 04:53
Looks like SEE, smells like SEE
Much of the early interest in the project was in support of a Department of Defense priority to automatically measure mission-critical, higher-order cognitive constructs, such as situational awareness, to accelerate training of complex skills and support multi-domain warfare. In 2019, SMU and CAE (then L3Harris Technologies) first demonstrated that machine learning based on biometric data could yield real-time accurate performance results. During these demonstrations, pilot eye scan techniques—using heat maps—were used to determine levels of situational awareness and mental workload.
The use of biometrics and machine learning in a flight training environment may ultimately change the way pilots are trained. Physical reactions from a student may be a more reliable indicator of proficiency and mastery of a maneuver than the subjective view of an instructor or evaluator. While the SMU/CAE research validates the use of biometrics and machine learning on military aircraft, these processes, and techniques may be useful in civil aviation. The use of gaze patterns, as an example, may help train pilots to improve in areas such as active flight path monitoring, flight mode awareness, and the effectiveness of pilot monitoring duties.