Experimental Study on Emergency Psychophysiological and Behavioral Reactions to Coal Mining Accidents-Reference-Cited by-同舟云学术

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Experimental Study on Emergency Psychophysiological and Behavioral Reactions to Coal Mining Accidents

Published:2024-06-28 Issue: Volume: Page:
ISSN:1090-0586
Container-title:Applied Psychophysiology and Biofeedback
language:en
Short-container-title:Appl Psychophysiol Biofeedback

Author:

Li Xiangchun,Long Yuzhen^ORCID,Zhang Shuhao,Yang Chunli,Xing Mingxiu,Zhang Shuang

Funder

Humanities and Social Sciences Youth Foundation, Ministry of Education

National Natural Science Foundation of China

Opening Project of the State Key Laboratory of Explosion Science and Technology

Fundamental Research Funds for the Central Universities

Innovation Engineering Project of Beijing Academy of Science and Technology

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10484-024-09651-4.pdf

Reference122 articles.

1. Ahmed, S., & Onan Demirel, H. (2019). A framework to assess human performance in normal and emergency situations. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 6(1). https://doi.org/10.1115/1.4044791

2. Anderson, J. R. (1980). Cognitive psychology and its implications. Worth Publishing Ltd. https://books.google.com/books?id=n-NipwAACAAJ

3. Andreassi, J. L. (2006). Psychophysiology-human behavior and physiological response. Psychology. https://doi.org/10.4324/9780203880340

4. Aryal, A., Ghahramani, A., & Becerik-Gerber, B. (2017). Monitoring fatigue in construction workers using physiological measurements. Automation in Construction, 82, 154–165. https://doi.org/10.1016/j.autcon.2017.03.003

5. Awada, M., Becerik-Gerber, B., Lucas, G., & Roll, S. C. (2023). Predicting office workers’ productivity: A machine learning approach integrating physiological, behavioral, and psychological indicators. Sensors (Basel, Switzerland), 23(21), 8694. https://doi.org/10.3390/s23218694

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