Publication Details
Pilot's Attention Distribution Modeling Using Hidden Markov Models
Vlk Jan, Ing., Ph.D. (FIT)
Chudý Peter, doc. Ing., Ph.D., MBA (VZ AeroWorks)
pilot, aircraft, eye tracking, Hidden Markov Models
The attention distribution over the instrument panel in flight is a significant indicator of pilots cognitive state. A major difference between a rookie and experienced pilot can be observed through the means of perceiving the environment and processing the information gathered from the flight instruments. Then such attention distribution models is a part of pilot behavior modeling and even pilot identification or classification. This work is focused on fusion of the eye-tracking data with the flight variables acquired during simulated flight experiments. The flight data itself were collected in a series of experimental simulated flight tasks performed by real pilots with a different level of experience.
@inproceedings{BUT182524,
author="Jiří {Hanák} and Jan {Vlk} and Peter {Chudý}",
title="Pilot's Attention Distribution Modeling Using Hidden Markov Models",
booktitle="ICAS PROCEEDINGS",
year="2022",
journal="ICAS Proceedings",
number="11",
pages="1--12",
publisher="International Council of the Aeronautical Sciences",
address="Stockholm, Sweden",
issn="2958-4647",
url="https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0721_paper.pdf"
}