An Evaluation Framework on Pilot’s Competency-Based Flying Style DOI
Shan Gao, Yuanyuan Xian,

Lei Wang

и другие.

Lecture notes in computer science, Год журнала: 2023, Номер unknown, С. 190 - 199

Опубликована: Янв. 1, 2023

Язык: Английский

Determinants of Pilots’ Performance: Investigating Technology Trust and Situation Awareness DOI
Nuno Moura Lopes, Manuela Aparício, Fátima Trindade Neves

и другие.

Journal of Aerospace Information Systems, Год журнала: 2024, Номер unknown, С. 1 - 10

Опубликована: Июль 1, 2024

Simulation devices have been used in aviation training for decades, probably more than other industries. Embarking on this study, we aim to understand the relationship between information quality provided by system (simulator) pilots with effect situation awareness and trust technology. Also, how experienced total flight simulator hours affect their awareness. Furthermore, study introduces a novel theoretical model explore technology jointly impact individual pilot performance. We structured equation modeling within data retrieved from survey of 233 pilots. Our results show large performance quality. is supported There medium awareness, experience shown having small

Язык: Английский

Процитировано

2

Cognitive load assessment for cadet pilots in simulated aircraft environment-pilot study DOI
Omar Alharasees, Utku Kale

Aircraft Engineering and Aerospace Technology, Год журнала: 2024, Номер 96(7), С. 858 - 872

Опубликована: Июль 4, 2024

Purpose This study aims to propose a methodology aimed at understanding the cognitive and physiological processes inherent in cadet pilot operations. Through analyzing responses from two pilots with varied experience levels across diverse simulation scenarios, research uses descriptive statistics, t -test, one-way ANOVA percentage change analysis explore crucial variables, including heart rate (HR), variability (HRV) respiratory (RR). Design/methodology/approach The investigation meticulously examines HR, HRV RR under circumstances encompassing resting state, visual flight rules instrument engine failure. Pilots undergo comprehensive analyses employing statistical techniques representations comprehend loads adaptations. Findings Significant disparities emerge between pilots, elucidating profound impact of on outcomes. Novice exhibit heightened during scenario transitions, while experienced demonstrate controlled responses, indicative adaptability. Visual simulations evoke distinct whereas instrument-based particularly those simulating emergencies, lead pronounced changes. Practical implications findings this hold practical significance introducing proposed novel for monitoring Cadet refine training protocols enhance aviation safety by illuminating interplay complexities. Originality/value proposes investigating operations, mainly pilots’ vital parameters through analytical methods an exploration scenario-specific demands.

Язык: Английский

Процитировано

2

Effects of age and flight exposure on flight safety performance: Evidence from a large cross-sectional pilot sample DOI

Lei Wang,

Shan Gao, Ruiyuan Hong

и другие.

Safety Science, Год журнала: 2023, Номер 165, С. 106199 - 106199

Опубликована: Май 17, 2023

Язык: Английский

Процитировано

5

Development and validation of an assessment index for quantifying cognitive task load in pilots under simulated flight conditions using heart rate variability and principal component analysis DOI
Jing-Hua Yang,

Mengjun Tang,

Lin William Cong

и другие.

Ergonomics, Год журнала: 2023, Номер 67(4), С. 515 - 525

Опубликована: Июнь 27, 2023

To investigate whether high cognitive task load (CTL) for aircraft pilots can be identified by analysing heart-rate variability, electrocardiograms were recorded while cadet (n = 68) performed the plane tracking, anti-gravity pedalling, and reaction tasks during simulated flight missions. Data standard electrocardiogram parameters extracted from R–R-interval series. In research phase, low frequency power (LF), (HF), normalised HF, LF/HF differed significantly between CTL conditions (p < .05 all). A principal component analysis three components contributing 90.62% of cumulative variance. These incorporated into a composite index. Validation in separate group 139) under similar showed that index value increased with increasing .05). The variability used to objectively identify conditions.

Язык: Английский

Процитировано

5

Analysis of heart rate variability during emergency flight simulator missions in fighter pilots DOI
Carlos Fernández-Morales, Luís Espejo-Antúnez, Vicente Javier Clemente‐Suárez

и другие.

BMJ Military Health, Год журнала: 2022, Номер 170(4), С. 296 - 302

Опубликована: Дек. 30, 2022

Managing emergency situations in different simulated flight segments can entail a workload that could affect the performance of military pilots. The aim was to analyse modifications neurovegetative balance (using HR variability, HRV) professional fighter pilots attending learning/training sessions on simulator.

Язык: Английский

Процитировано

8

Pilot workload measurement model based on task complexity analysis DOI

Ziyi Wang,

Shuang Liu, Xiaoru Wanyan

и другие.

International Journal of Industrial Ergonomics, Год журнала: 2024, Номер 104, С. 103637 - 103637

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

1

Comprehensive Review on Aviation Operator’s Total Loads DOI
Omar Alharasees, Osama H. Adali, Utku Kale

и другие.

Опубликована: Ноя. 24, 2022

In the aviation environment and air transport operations, safety is most crucial element of system; maintaining safe aeronautical operations highly dependent on operators' actions reactions. Cognitive loads reflect human contribution to mental, communication, information, task, workload shape total loads. The number accidents incidents caused by factors increases rapidly due intensive technology automation in aviation. Such recent examples human-contributed can be given like (i) Casa 212-200, N497CA Flight accident, (ii) Ethiopian Airlines, ET-343 flight accident. Many previous studies focused measuring load pilots ATCOs through different processes scenarios using multiple sensors & devices. This paper reviews a variety experimental differentiating methodologies, scope, outcomes. Eventually, introduces compromised novel approach for operator scenarios.

Язык: Английский

Процитировано

7

The risk-taking behavioural intentions of pilots in adverse weather conditions: an application of the theory of planned behaviour DOI
Xiaohan He,

Xiaofei Nie,

Ronggang Zhou

и другие.

Ergonomics, Год журнала: 2022, Номер 66(8), С. 1043 - 1056

Опубликована: Сен. 27, 2022

This paper examined pilots' risk-taking behavioural intentions based on the theory of planned behaviour, as well impact experience in adverse weather conditions. Two hundred and seventy-three airline pilots flying cadets were divided into two groups asked to complete a questionnaire decision-making scenarios. measured take risks, along with attitude towards subjective norms, perceived control (PBC), risk perception, self-identity. The results showed that attitude, norm, PBC, perception explained 52% variance intentions. Additionally, decisions can be influenced by experience. Inexperienced had relatively stronger intention risks more favourable risky behaviour. Moreover, likely rely their own direct process. Practitioner summary: study under conditions using TPB theory. Results demonstrated model applied scenario influence decisions. These findings have implications for improving flight safety lowering accident rates.

Язык: Английский

Процитировано

5

Assessment of Pilot Mental Workload Based on Physiological Signals: A Real Helicopter Cross-country Flight Study DOI

Wenbing Zhu,

Chenyang Zhang, Chuang Liu

и другие.

2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Год журнала: 2023, Номер unknown, С. 638 - 643

Опубликована: Окт. 11, 2023

The helicopter pilots' mental workload is a contributing factor that detrimentally affects their performance, which can lead to flight accidents. This study proposes method assess and identify in real scenarios. Three pilots were involved the experiment, photoplethysmography (PPG) signals collected during three phases (takeoff climb, cruise, approach landing) cross-country flight. NASA-TLX scales used measure level, heart rate variability (HRV) features extracted further workload. Statistical analysis results showed most of exhibited significant differences across levels. machine learning algorithms, including support vector machines (SVM), k-nearest neighbors (KNN), random forests (RF), for three-class classification. demonstrated HRV feature set achieved highest classification accuracy 85.9% using KNN algorithm, area under curve (AUC) 0.934 was obtained RF algorithm. research first dataset civil China. Based on dataset, findings this could provide valuable reference among

Язык: Английский

Процитировано

2

Classification of Carrier-based Aircraft Pilot Mental Workloads Based on Feature Level Fusion and Decision Level Fusion of PPG and EEG Signals DOI
Wenbing Zhu,

Yuanyi Xie,

Yunbiao Wang

и другие.

Authorea (Authorea), Год журнала: 2024, Номер unknown

Опубликована: Авг. 31, 2024

This study explored mental workload recognition methods for carrier-based aircraft pilots utilizing multimodal physiological signal fusion and portable devices. A simulation flight experiment was designed, subjective scores Electroencephalogram (EEG) Photoplethysmogram (PPG) signals from six pilot cadets were collected using NASA Task Load Index (NASA-TLX) The of the in three phases used to label data into levels. Features extracted, interrelations between indicators evaluated. Machine learning deep algorithms classify pilots' workload. performances single-modal method investigated. results showed that outperformed methods, achieving higher accuracy, precision, recall, F1 score. Among all classifiers, random forest classifier with feature-level obtained best results, an accuracy 97.69%, precision 98.08%, recall 96.98%, score 97.44%. findings this demonstrate effectiveness feasibility proposed method, offering insights management enhancement safety pilots.

Язык: Английский

Процитировано

0