International Journal of Industrial Ergonomics, Journal Year: 2024, Volume and Issue: 104, P. 103667 - 103667
Published: Nov. 1, 2024
Language: Английский
International Journal of Industrial Ergonomics, Journal Year: 2024, Volume and Issue: 104, P. 103667 - 103667
Published: Nov. 1, 2024
Language: Английский
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 61, P. 102557 - 102557
Published: April 22, 2024
Language: Английский
Citations
13Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 640 - 640
Published: Jan. 11, 2024
In the area of aviation safety, importance human factors is indisputable. This research endeavors to assess in predicting fatalities during mishaps. Utilizing reports from Aviation Safety Network Database, encompassing 1105 accidents and incidents spanning 2007 2016, neural networks were trained forecast probability fatalities. Our findings underscore that involved, by themselves, can yield strong predictions. As a term comparison, other variables (type occurrence, flight phase, aircraft fate) used as predictors, with poorer results; combining these factors, prediction only marginally better, if at all, than based on alone. So, although supplementary benefit predictive results derived their contribution remains minimal. Consequently, this study illuminates paramount influencing fatalities, guiding stakeholders immediate interventions investments which are most warranted prevent them.
Language: Английский
Citations
9International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20
Published: Jan. 13, 2025
Language: Английский
Citations
1International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14
Published: Jan. 19, 2025
Language: Английский
Citations
1Chinese Journal of Aeronautics, Journal Year: 2024, Volume and Issue: 37(8), P. 277 - 292
Published: April 12, 2024
With cutting-edge technologies and considering airline human-resource-saving, a single pilot in commercial jets could be technically feasible. Investigating changes captains' natural behaviours are initially required to comprehend the specific safe human performance envelope for safeguarding single-pilot flight, particularly high-risk situations. This paper investigates how transforms fixing emergencies when operating from Dual-Pilot Operations (DPO) Single-Pilot (SPO) through physiological-based approach. Twenty pilots flew an emergency-included flight with/without first officers' assistance. The neural activities scanning were recorded using 32-channel Electroencephalogram (EEG) glasses-based eye tracker, with observation post-experiment questionnaires evaluate operations pilots' perception. Flying alone, there was significantly increased cortical activity θ β waves over frontal, parietal, temporal lobes during more complicated emergencies, focused less on primary display while spending time other interfaces. physiological fluctuating patterns associated risky SPO highlighted by cross-correlating multimodal data. experimental-based noteworthy insights may wish inform measures lessen persistent fluctuation, assisting airlines creating SPO-oriented intelligent systems give captains adequate support assuring safer air transportation.
Language: Английский
Citations
6Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102656 - 102656
Published: June 20, 2024
Language: Английский
Citations
6Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 299, P. 112086 - 112086
Published: June 13, 2024
Language: Английский
Citations
5Ocean Engineering, Journal Year: 2024, Volume and Issue: 307, P. 118200 - 118200
Published: May 24, 2024
Language: Английский
Citations
5Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123857 - 123857
Published: March 28, 2024
Language: Английский
Citations
4Journal 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
Citations
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