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A Simulator Experimental Study on Individual SA and Team SSA in Digital MCRs of NPPs

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 956))

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Abstract

Operator’s situation awareness (SA) issues are more prominent in digital nuclear power plants (NPPs). In order to identify the SA levels of operators and levels of team shared situation awareness (SSA), a SA measure method was developed based on Situation Awareness Global Assessment Technique (SAGAT). Furthermore, it was used to measure the SA levels of operators by simulation experiments and a method was established to determine the team SSA level. The experimental results showed that the individual SA level was related to the SSA level. The higher the individual SA level is, the higher the SSA level is. Furthermore, for different experimental scenarios, the SA level of operators and team SSA level is different, which means that the more obvious the symptoms of the risky scenarios are, the relatively higher the SA and SSA level are.

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Acknowledgments

The financial support by the National Natural Science Foundation of China (No. 51674145, 71771084), Postdoctoral Science Foundation of China (No. 2016M600633), Natural Science Foundation of Hunan Province (No. 2017JJ2222), Humanities and Social Science Projects of Ministry of Education (No. 11YJC630207) and Social Science Projects of Hunan Province (No. 16YBA314) are gratefully acknowledged. We would like to express gratitude to the staff in a Chinese nuclear power plant (LingAo-II) for the interviews and investigations, which facilitate the research included in this paper.

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Correspondence to Licao Dai .

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Li, P., Jin, X., Wang, Y., Chen, J., Dai, L. (2020). A Simulator Experimental Study on Individual SA and Team SSA in Digital MCRs of NPPs. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2019. Advances in Intelligent Systems and Computing, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-20037-4_19

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  • DOI: https://doi.org/10.1007/978-3-030-20037-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20036-7

  • Online ISBN: 978-3-030-20037-4

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