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

conference paper

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

978-1-7138-7116-3

Book

ICAS PROCEEDINGS

ISBN

2958-4647

Periodical

ICAS Proceedings

Number

11

State

Federal Republic of Germany

Pages from

6861

Pages to

6872

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="6861--6872",
  publisher="International Council of the Aeronautical Sciences",
  address="Stockholm, Sweden",
  isbn="978-1-7138-7116-3",
  issn="2958-4647",
  url="https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0721_paper.pdf"
}