Rama Myers, VP Aviation, Seeing Machines
Rama Myers is Vice President of Aviation at Seeing Machines where he leads the Product Management & Partnerships functions within the Aviation division. Rama collaborates closely with research institutions and industry to better understand and address challenges in crew fatigue, pilot monitoring, and operator workload. Rama drives the product vision, strategy and roadmap for the introduction of Seeing Machines computer vision platform into the Aviation industry to support operational safety.
Eye Tracking: A Window into Pilot Monitoring and Instrument Scanning Behavior to Support Evidence Based Training and Realtime Feedback
This paper identifies use cases for eye-tracking in simulator-based flight crew training. The authors explore the potential benefits to instructors and flight crew, and illustrate how such technology could be integrated into existing and future training environments.
Aviation instructors are limited in their ability to directly observe – and therefore accurately assess – trainees’ instrument scan behaviors, which directly impacts their ability to train effective scanning techniques. As a result, trainees develop scanning techniques organically based on their prior experience. Eye tracking technology will, for the first time, enable instructors to understand instrument scanning strategies as currently employed, and objectively assess the effectiveness of various scanning behaviors.
The introduction of eye tracking technology is especially impactful in the HUD training domain where the aviation human factors community has identified significant issues including HUD training and attention capture – a term used to described the distribution of attention to near HUD elements and far outside stimulus. HUDs were originally introduced to enhance safety by improving situational awareness and provide operators with lower approach minima and their safety benefits have resulted in many of the current generation of single and multi-crew aircraft types now offering HUD systems as an option. HUD training, however, presents unique challenges for the instructor. Eye tracking technology enables objective measurement of a pilot’s distribution of attention across in-HUD scanning and transition to and from other cockpit instruments, enabling higher quality instruction and enhancing training outcomes.
Finally, the authors will illustrate how eye-tracking technology could be integrated into existing and future training environments, for simulator-based flight crew training of the HUD.