Our paper “Towards Pilot-Aware Cockpits” has been published in the proceedings of the 1st International Workshop on Eye-Tracking in Aviation (ETAVI 2020):
Lutnyk L., Rudi D., and Raubal M. (2020). Towards Pilot-Aware Cockpits. In Proceedings of the 1st International Workshop on Eye-Tracking in Aviation (ETAVI 2020), ETH Zurich. DOI: https://doi.org/10.3929/ethz-b-000407661
Abstract. Eye tracking has a longstanding history in aviation research. Amongst others it has been employed to bring pilots back “in the loop”, i.e., create a better awareness of the flight situation. Interestingly, there exists only little research in this context that evaluates the application of machine learning algorithms to model pilots’ understanding of the aircraft’s state and their situation awareness. Machine learning models could be trained to differentiate between normal and abnormal patterns with regard to pilots’ eye movements, control inputs, and data from other psychophysiological sensors, such as heart rate or blood pressure. Moreover, when the system recognizes an abnormal pattern, it could provide situation specific assistance to bring pilots back in the loop. This paper discusses when pilots benefit from such a pilot-aware system, and explores the technical and user oriented requirements for implementing this system.