Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation

Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue....

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Main Authors: Andrea Alaimo, Antonio Esposito, Calogero Orlando, Andre Simoncini
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/7/9/137
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author Andrea Alaimo
Antonio Esposito
Calogero Orlando
Andre Simoncini
author_facet Andrea Alaimo
Antonio Esposito
Calogero Orlando
Andre Simoncini
author_sort Andrea Alaimo
collection DOAJ
description Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue. There exist several subjective or objective metrics to quantify the pilots’ workload level, with both linear and nonlinear relationships reported in the literature. The main research objective of the present work is to analyze the relationships between objective and subjective workload measurements by looking for a correlation between metrics belonging to the subjective and biometric rating methods. More particularly, the Heart Rate Variability (HRV) is used for the objective analysis, whereas the NASA-TLX questionnaire is the tool chosen for the subjective evaluation of the workload. Two different flight scenarios were considered for the studies: the take-off phase with the initial climb and the final approach phase with the landing. A Maneuver Error Index (MEI) is also introduced to evaluate the pilot flight performance according to mission requirements. Both qualitative and quantitative correlation analyses were performed among the MEI, subjective and objective measurements. Monotonic relationships were found within the HRV indexes, and a nonlinear relationship is proposed among NASA-TLX and HRV indexes. These findings suggest that the relationship between workload, biometric data, and performance indexes are characterized by intricate patterns of nonlinear relationships.
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spelling doaj.art-ca727a83ef774c7e9b51449e0db90b142023-11-20T13:59:09ZengMDPI AGAerospace2226-43102020-09-017913710.3390/aerospace7090137Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective EvaluationAndrea Alaimo0Antonio Esposito1Calogero Orlando2Andre Simoncini3Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, ItalyFaculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, ItalyFaculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, ItalyIstituto de Engenharia Mecanica, Universidade Federal de Itajubá—UNIFEI, Minas Gerais 37500-903, BrazilWorkload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue. There exist several subjective or objective metrics to quantify the pilots’ workload level, with both linear and nonlinear relationships reported in the literature. The main research objective of the present work is to analyze the relationships between objective and subjective workload measurements by looking for a correlation between metrics belonging to the subjective and biometric rating methods. More particularly, the Heart Rate Variability (HRV) is used for the objective analysis, whereas the NASA-TLX questionnaire is the tool chosen for the subjective evaluation of the workload. Two different flight scenarios were considered for the studies: the take-off phase with the initial climb and the final approach phase with the landing. A Maneuver Error Index (MEI) is also introduced to evaluate the pilot flight performance according to mission requirements. Both qualitative and quantitative correlation analyses were performed among the MEI, subjective and objective measurements. Monotonic relationships were found within the HRV indexes, and a nonlinear relationship is proposed among NASA-TLX and HRV indexes. These findings suggest that the relationship between workload, biometric data, and performance indexes are characterized by intricate patterns of nonlinear relationships.https://www.mdpi.com/2226-4310/7/9/137aircraft pilotsmental workloadNASA-TLXheart rate variabilityperformance indexnonlinear correlation
spellingShingle Andrea Alaimo
Antonio Esposito
Calogero Orlando
Andre Simoncini
Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
Aerospace
aircraft pilots
mental workload
NASA-TLX
heart rate variability
performance index
nonlinear correlation
title Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
title_full Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
title_fullStr Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
title_full_unstemmed Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
title_short Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
title_sort aircraft pilots workload analysis heart rate variability objective measures and nasa task load index subjective evaluation
topic aircraft pilots
mental workload
NASA-TLX
heart rate variability
performance index
nonlinear correlation
url https://www.mdpi.com/2226-4310/7/9/137
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AT calogeroorlando aircraftpilotsworkloadanalysisheartratevariabilityobjectivemeasuresandnasataskloadindexsubjectiveevaluation
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