Abstract
In order to identified macro-cognitive processes and psychological error mechanisms (PEMs) of TSA in digital NPPs. Firstly, the components of TSA are identified according to team task analysis, which including individual situation awareness (ISA), shared situation awareness (SSA) and mutual awareness (MA). Furthermore, the macro-cognitive processes of TSA are identified respectively from ISA, SSA and MA on the basis of simulation experiments, and the process model of TSA is established to illustrate the forming mechanism of TSA. Finally, the PEMs of TSA errors are identified, it is very useful to prevent and reduce TSA errors.
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Acknowledgments
The financial support by Natural Science Foundation of China (71371070, 71301069, 51674145) and Scientific Research Program supported by Lingdong Nuclear Power Plant (KR70543), the Postdoctoral Science Foundation of China (2016M600633), the Natural Science Foundation of Hunan Province (2017-260), the Humanities and Social Science Projects of Ministry of Education (11YJC630207), Program of China Scholarship Council (CSC) and the Social Science Projects of Hunan Province (16YBA314) are gratefully acknowledged.
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Li, P., Dai, L., Zhang, L., Jiang, Y., Li, X. (2018). Cognitive Processes and PEMs of TSA in Digitized MCRs of NPPs. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_31
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