Detection of air traffic controllers? fatigue using voice analysis - An EEG validation study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F23%3A43921099" target="_blank" >RIV/00023752:_____/23:43921099 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11120/23:43925323
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0169814123000343?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0169814123000343?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ergon.2023.103442" target="_blank" >10.1016/j.ergon.2023.103442</a>
Alternative languages
Result language
angličtina
Original language name
Detection of air traffic controllers? fatigue using voice analysis - An EEG validation study
Original language description
The article summarizes the results of an EEG validation study following the proposal of a methodology for identification and monitoring of air traffic controllers' fatigue level based on layered-voice analysis (LVA) described in the initial study (Kouba et al., 2020).10 licensed air traffic controllers from APP Prague participated in the experiment that enabled the comparison of the state of vigilance during certain parts of the shifts rostering cycle. Methods for subjective assessment (Karolinska Sleepiness Scale) of fatigue were used as well as objective methods (Psychomotor Vigilance Task, Oddball Task and EEG power spectra analysis) to compare with the outputs of voice analysis.Our results indicate that the method of voice analysis reacts to changes in a person's mental state. Based on the results of current study, voice parameters marked as Stress and/or Energy levels seem to be the most suitable candidates for fatigue detection as shown by comparative statistics and correlations. The change in these parameters best reflected changes observed in EEG power in different band both during the cognitive testing and during the simulation exercise.According to our research voice analysis is able to identify differences in wakefulness and fatigue, as its results correlate with changes in brain activity. As our experiment likely induced not only fatigue but also changes in other mental states such as perceived stress which could have been reflected in the changes of other voice parameters, this could be the focus of the following studies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30305 - Occupational health
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Industrial Ergonomics
ISSN
0169-8141
e-ISSN
1872-8219
Volume of the periodical
95
Issue of the periodical within the volume
"Article Number: 103442"
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000966799100001
EID of the result in the Scopus database
2-s2.0-85150922965