This study examines the mechanisms by which different working conditions impact pilot's workload. The study is conducted to explore the impact of clear weather ...
The objective data indicated that pilot-vehicle performance was reduced and the necessary control activity increased when linear motion was removed; however, ...
A pilot workload model based on task complexity analysis is built to predict the changing trend of workload under various task scenarios with different task ...
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Aug 20, 2019 · In this paper, a multi-source data fusion model for monitoring the pilot's workload condition based on a fuzzy neural network is proposed.
METHOD: This study proposed to assess pilot workload from four dimensions: cognitive activity, control activity, stress, and flight performance. A set of ...
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Aug 31, 2024 · This study explored mental workload recognition methods for carrier-based aircraft pilots utilizing multimodal physiological signal fusion and portable devices.
Mar 15, 2022 · This study combined subjective ratings, performance, fNIRS, and ECG to evaluate the mental workload of a simulated piloting multitasking task.
May 2, 2024 · In this study, we utilized machine learning algorithms to predict pilot workload based on physiological, cognitive, and eye-tracking data ...
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The proposed method analyzes the relationship between multi-source data and workload by utilizing a 10 s time window, allowing it to detect continuous workload ...
Human factors have an important impact on aviation safety. The evaluation of pilot's workload is one of the most noteworthy human factors issues.