Using EEG and eye-tracking as indicators to investigate situation awareness variation during flight monitoring in air traffic control system

Journal of Navigation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Feb. 20, 2025

Abstract Identifying the absence of situation awareness (SA) in air traffic controllers is critical since it directly affects their hazard perception. This study aims to introduce and validate a multimodal methodology employing electroencephalogram (EEG) eye-tracking investigate SA variation within specific control contexts. Data from 28 participants executing experiment involving three different SA-probe tests illustrated conceptual relationship between EEG indicators variations, using behavioural data as proxy. The results indicated that both metrics correlated positively with levels required, is, frequency spectrum β (13–30 Hz) γ (30–50 bands, alongside fixation/saccade-based pupil dilation increased response higher levels. research has substantial implications for investigating human-centric approach via psychophysiological indicators, revealing intrinsic interactions human capability envelope SA, contributing development real-time monitoring system variations transportation safety research.

Language: Английский

---

Gaze behaviours, situation awareness and cognitive workload of air traffic controllers in radar screen monitoring tasks with varying task complexity

International Journal of Occupational Safety and Ergonomics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Feb. 11, 2025

Objectives. Air traffic controllers should maintain high situational awareness (SA) and low cognitive workload to ensure aviation safety. However, increased task complexity may influence air controllers' SA workload. Meanwhile, eye-tracking provides insights into the gaze patterns that might signify SA. This article investigates behaviours, of different radar screen monitoring tasks with varying complexity. Methods. Twenty-eight participants performed three tasks, including call-sign association, position identification heading projection. Cognitive were evaluated for each using National Aeronautics Space Administration load index (NASA-TLX) global assessment technique (SAGAT), respectively. The Gaussian mixture model was used cluster high/low. Eye-tracking reveals behaviours contribute formation. Results. significantly differ between levels While has a significant main effect on fixations human operators, it does not pupil diameter. Conclusions. Fixation-related metrics changes in under complexity, while side effects be mitigated.

Language: Английский

---

Human operators’ cognitive workload recognition with a dual attention-enabled multimodal fusion framework

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127418 - 127418

Published: April 1, 2025

Language: Английский

---

Flashlight model: Integrating attention distribution and attention resources for pilots’ visual behaviour analysis and performance prediction

International Journal of Industrial Ergonomics, Journal Year: 2024, Volume and Issue: 103, P. 103630 - 103630

Published: Aug. 17, 2024

Language: Английский

---

Flashlight Model: Integrating Attention Distribution and Attention Resources for Pilots' Visual Behaviour Analysis and Performance Prediction

Published: Jan. 1, 2024

Pilot performance is almost the last line of defence in aircraft safety. Recent years have seen a surge research aimed at utilizing eye-tracking technology to predict pilot performance, enhancing aviation safety margins. A decline often attributed either misdirected attention towards irrelevant tasks or inefficient information processing owing limited resources. Previous has shown that data can effectively capture these issues and provide accurate predictions. Nevertheless, existing studies focus on distribution resources separately, ignoring complex interactions between them. To address this gap, our study proposes synthesized Flashlight model-based analysis for prediction, integrating two perspectives. Accordingly, combined AOI-gaze metrics are proposed offer more nuanced across specific Areas Interest (AOIs), thereby gaze metrics. We examined efficacy Gradient-boosted decision trees(GBDT) model prediction compared them with other widely used simulated flight experiment case study. Moreover, we employed SHapley Additive exPlanations (SHAP) method identify most influential measurements pilots' prediction. The result demonstrated selected obtained highest accuracy Overall, framework serve as systematic visual behaviour dynamic human-machine interactions.

Language: Английский

---

Evaluating Pilot Mental Workload Using fNIRS-Based Functional Connectivity Features with a Deep Residual Shrinkage Network Under Emergency Flight Scenarios

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

Published: Dec. 6, 2024

Language: Английский

---