Evaluating the Cognitive Load of Pilots: A Review of Workload Assessment Tools and Data Analysis Methods DOI

Michele Giuseppe Di Cesare,

Michele Tritto, Francesco Romanò

et al.

Published: Nov. 11, 2024

Language: Английский

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

Aircraft Engineering and Aerospace Technology, Journal Year: 2024, Volume and Issue: 96(7), P. 858 - 872

Published: July 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.

Language: Английский

Citations

2

Pilot turning behavior cognitive load analysis in simulated flight DOI Creative Commons
Wengang Zhou,

Pan-Pan Yu,

Liang-Hai Wu

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Sept. 23, 2024

Background To identify the cognitive load of different turning tasks in simulated flight, a flight experiment was designed based on real “preliminary screening” training modules for pilots. Methods Heart Rate Variability (HRV) and data were collected during experiments using simulator heart rate sensor bracelet. The behaviors classified into climbing turns, descending level turns. A recognition model associated with these developed machine learning deep algorithms. Results pnni_20, range_nni, rmssd, sdsd, nni_20, sd1, triangular_index indicators are negatively correlated load. LSTM-Attention excelled recognizing varying load, achieving an F1 score 0.9491. Conclusion Specific HRV characteristics can be used to analyze turn-ing tasks, provide references future studies selection pilot offer guidance training, thus having significant implications safety.

Language: Английский

Citations

1

Enhancing emotion regulation: investigating the efficacy of transcutaneous electrical acupoint stimulation at PC6 in reducing fear of heights DOI Creative Commons
Lin Cong, Yu Xiao,

Meiqing Huang

et al.

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: April 3, 2024

This study investigated the impact of transcutaneous electrical acupoint stimulation (TEAS) at Neiguan (PC6) on physiological and behavioral responses participants exposed in virtual height. 40 were included randomly assigned to either a control group or an intervention group. Participants had immersive experience with VR interactive platform that provided somatosensory interaction height scenes. Psychological scores, cognitive performance, recorded analyzed. The results indicated significantly lower fear scores compared Analysis heart rate variability revealed exhibited improved variability, indicating enhanced cardiovascular function emotion regulation. demonstrated higher left eye openness, faster reaction times, greater movement distance, suggesting attentional focus, processing, reduced avoidance behaviors. These findings suggest TEAS PC6 can effectively reduce improve regulation negative emotional stimuli.

Language: Английский

Citations

0

Evaluating Pilot Mental Workload Using fNIRS-Based Functional Connectivity Features with a Deep Residual Shrinkage Network Under Emergency Flight Scenarios DOI
Chenyang Zhang, Shihan Luo, Shi Cao

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 6, 2024

Language: Английский

Citations

0

Evaluating the Cognitive Load of Pilots: A Review of Workload Assessment Tools and Data Analysis Methods DOI

Michele Giuseppe Di Cesare,

Michele Tritto, Francesco Romanò

et al.

Published: Nov. 11, 2024

Language: Английский

Citations

0