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"
}