Publication detail

Pilot's Attention Distribution Modeling Using Hidden Markov Models

HANÁK, J. VLK, J. CHUDÝ, P.

Original Title

Pilot's Attention Distribution Modeling Using Hidden Markov Models

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

pilot, aircraft, eye tracking, Hidden Markov Models

Authors

HANÁK, J.; VLK, J.; CHUDÝ, P.

Released

28. 11. 2022

Publisher

International Council of the Aeronautical Sciences

Location

Stockholm, Sweden

ISBN

2958-4647

Periodical

ICAS Proceedings

Number

11

State

Federal Republic of Germany

Pages from

1

Pages to

12

Pages count

12

URL

https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0721_paper.pdf

BibTex

@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"
}