Detection of air traffic controllers? fatigue using voice analysis - An EEG validation study

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11120/23:43925323

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of air traffic controllers? fatigue using voice analysis - An EEG validation study

Popis výsledku v původním jazyce

The article summarizes the results of an EEG validation study following the proposal of a methodology for identification and monitoring of air traffic controllers&apos; 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&apos;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.

Název v anglickém jazyce

Detection of air traffic controllers? fatigue using voice analysis - An EEG validation study

Popis výsledku anglicky

The article summarizes the results of an EEG validation study following the proposal of a methodology for identification and monitoring of air traffic controllers&apos; 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&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30305 - Occupational health

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Industrial Ergonomics

ISSN

0169-8141

e-ISSN

1872-8219

Svazek periodika

95

Číslo periodika v rámci svazku

"Article Number: 103442"

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

1-14

Kód UT WoS článku

000966799100001

EID výsledku v databázi Scopus

2-s2.0-85150922965