Version 1
: Received: 8 November 2023 / Approved: 9 November 2023 / Online: 9 November 2023 (14:28:34 CET)
How to cite:
Gaber, J.; Ren, J.; A.Gabbar, H. Electroencephalogram-Based Human Performance Analysis for Improved Small Modular Reactor Operation. Preprints2023, 2023110648. https://doi.org/10.20944/preprints202311.0648.v1
Gaber, J.; Ren, J.; A.Gabbar, H. Electroencephalogram-Based Human Performance Analysis for Improved Small Modular Reactor Operation. Preprints 2023, 2023110648. https://doi.org/10.20944/preprints202311.0648.v1
Gaber, J.; Ren, J.; A.Gabbar, H. Electroencephalogram-Based Human Performance Analysis for Improved Small Modular Reactor Operation. Preprints2023, 2023110648. https://doi.org/10.20944/preprints202311.0648.v1
APA Style
Gaber, J., Ren, J., & A.Gabbar, H. (2023). Electroencephalogram-Based Human Performance Analysis for Improved Small Modular Reactor Operation. Preprints. https://doi.org/10.20944/preprints202311.0648.v1
Chicago/Turabian Style
Gaber, J., Jing Ren and Hossam A.Gabbar. 2023 "Electroencephalogram-Based Human Performance Analysis for Improved Small Modular Reactor Operation" Preprints. https://doi.org/10.20944/preprints202311.0648.v1
Abstract
In the wake of the rapid deployment of Small Modular Reactors (SMRs), this study aims to enhance the efficiency, reliability, and safety of SMR operations through a deeper understanding of human factors in their interaction within digital control room systems. Recognizing the pivotal role of human understanding in this new era of nuclear power, we employed electroencephalogram (EEG)-based monitoring to provide an unparalleled real-time view into operators' cognitive states. By interfacing detailed human models, informed by EEG metrics, with specific operational tasks, we recreate potential operational scenarios using an SMR simulator and capture intricate human responses therein. Our results elucidated the intricate relationship between EEG-derived data and human performance shaping factors, indicating a marked correlation between certain EEG patterns and operational efficiencies. Conclusively, these findings underscore the potential of EEG monitoring not only as a diagnostic tool but as an instrumental aid in the design and operation of future SMR digital control rooms. The insights derived offer a roadmap for the development of practical strategies, ensuring more effective and safer SMR operations.
Keywords
Human Performance; Mental Model; EEG; SMR; Plant Operation; Human Factors
Subject
Engineering, Safety, Risk, Reliability and Quality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
