Abstract
In the operation of nuclear power plant and especially when the digital human-machine interactive system is adopted, the cognitive decision and acts of operator play more and more important role in determine the plant’s safe operation. In order to analysis the risk mechanism of human error and control the risk transmission, this study proposes a framework to conceptually model the performance shaping factor (PSF) interaction that involve the interactions of organizational, operator and technical system factors. Using the method of engineering psychology, the operator workload is adopted to be the central risk indicator and multiple levels of resource channel are considered in a quantitative manner. To reflect the dependency between PSFs, the system dynamics based modeling approach is adopted to identify the interactions between PSFs and the overall risk boundary. It helps to establish a dynamic model for human reliability assessment and human-machine interface design. Although this paper is focused on the method application on nuclear field, it has the potential to be extended to other industrial sectors.
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This research was sponsored by the National Science Foundation of China (No. 61803263) and the Startup Fund for Youngman Research at SJTU of China (SFYR at SJTU).
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Wu, G. et al. (2020). Multidimensional Risk Dynamics Modeling on Operator Errors of Nuclear Power Plant. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Cognition and Design. HCII 2020. Lecture Notes in Computer Science(), vol 12187. Springer, Cham. https://doi.org/10.1007/978-3-030-49183-3_7
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DOI: https://doi.org/10.1007/978-3-030-49183-3_7
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