Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving
Background: In safety-critical environments, human error is a leading cause of accidents, with the loss of situation awareness (SA) being a key contributing factor. Accurate SA assessment is essential for minimizing such risks and ensuring operational safety. Traditional SA measurement methods have...
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MDPI AG
2024-11-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/14/11/1156 |
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| author | Wenli Dong Weining Fang Hanzhao Qiu Haifeng Bao |
| author_facet | Wenli Dong Weining Fang Hanzhao Qiu Haifeng Bao |
| author_sort | Wenli Dong |
| collection | DOAJ |
| description | Background: In safety-critical environments, human error is a leading cause of accidents, with the loss of situation awareness (SA) being a key contributing factor. Accurate SA assessment is essential for minimizing such risks and ensuring operational safety. Traditional SA measurement methods have limitations in dynamic real-world settings, while physiological signals, particularly EEG, offer a non-invasive, real-time alternative for continuous SA monitoring. However, the reliability of SA measurement based on physiological signals depends on the accuracy of SA labeling. Objective: This study aims to design an effective SA measurement paradigm specific to high-speed train driving, investigate more accurate physiological signal-based SA labeling methods, and explore the relationships between SA levels and key physiological metrics based on the developed framework. Methods: This study recruited 19 male high-speed train driver trainees and developed an SA measurement paradigm specific to high-speed train driving. A method combining subjective SA ratings and task performance was introduced to generate accurate SA labels. Results: The results of statistical analysis confirmed the effectiveness of this paradigm in inducing SA level changes, revealing significant relationships between SA levels and key physiological metrics, including eye movement patterns, ECG features (e.g., heart rate variability), and EEG power spectral density across theta, alpha, and beta bands. Conclusions: This study supports the use of multimodal physiological signals for SA assessment and provides a theoretical foundation for future applications of SA monitoring in railway operations, contributing to enhanced operational safety. |
| format | Article |
| id | doaj-art-8925f38d59d747a6b4a37c48c229ca1d |
| institution | Kabale University |
| issn | 2076-3425 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj-art-8925f38d59d747a6b4a37c48c229ca1d2024-11-26T17:55:13ZengMDPI AGBrain Sciences2076-34252024-11-011411115610.3390/brainsci14111156Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train DrivingWenli Dong0Weining Fang1Hanzhao Qiu2Haifeng Bao3State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, ChinaBackground: In safety-critical environments, human error is a leading cause of accidents, with the loss of situation awareness (SA) being a key contributing factor. Accurate SA assessment is essential for minimizing such risks and ensuring operational safety. Traditional SA measurement methods have limitations in dynamic real-world settings, while physiological signals, particularly EEG, offer a non-invasive, real-time alternative for continuous SA monitoring. However, the reliability of SA measurement based on physiological signals depends on the accuracy of SA labeling. Objective: This study aims to design an effective SA measurement paradigm specific to high-speed train driving, investigate more accurate physiological signal-based SA labeling methods, and explore the relationships between SA levels and key physiological metrics based on the developed framework. Methods: This study recruited 19 male high-speed train driver trainees and developed an SA measurement paradigm specific to high-speed train driving. A method combining subjective SA ratings and task performance was introduced to generate accurate SA labels. Results: The results of statistical analysis confirmed the effectiveness of this paradigm in inducing SA level changes, revealing significant relationships between SA levels and key physiological metrics, including eye movement patterns, ECG features (e.g., heart rate variability), and EEG power spectral density across theta, alpha, and beta bands. Conclusions: This study supports the use of multimodal physiological signals for SA assessment and provides a theoretical foundation for future applications of SA monitoring in railway operations, contributing to enhanced operational safety.https://www.mdpi.com/2076-3425/14/11/1156situation awareness (SA)multimodal physiological signalsEEGhigh-speed train drivingSA labeling methodsSA measurement paradigms |
| spellingShingle | Wenli Dong Weining Fang Hanzhao Qiu Haifeng Bao Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving Brain Sciences situation awareness (SA) multimodal physiological signals EEG high-speed train driving SA labeling methods SA measurement paradigms |
| title | Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving |
| title_full | Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving |
| title_fullStr | Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving |
| title_full_unstemmed | Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving |
| title_short | Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving |
| title_sort | impact of situation awareness variations on multimodal physiological responses in high speed train driving |
| topic | situation awareness (SA) multimodal physiological signals EEG high-speed train driving SA labeling methods SA measurement paradigms |
| url | https://www.mdpi.com/2076-3425/14/11/1156 |
| work_keys_str_mv | AT wenlidong impactofsituationawarenessvariationsonmultimodalphysiologicalresponsesinhighspeedtraindriving AT weiningfang impactofsituationawarenessvariationsonmultimodalphysiologicalresponsesinhighspeedtraindriving AT hanzhaoqiu impactofsituationawarenessvariationsonmultimodalphysiologicalresponsesinhighspeedtraindriving AT haifengbao impactofsituationawarenessvariationsonmultimodalphysiologicalresponsesinhighspeedtraindriving |