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Investigating the Effect of Task Complexity on the Occurrence of Human Errors observed in a Nuclear Power Plant Full-Scope Simulator

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  • Jang, Inseok
  • Kim, Yochan
  • Park, Jinkyun

Abstract

The task complexity (TACOM) measure was previously developed to quantify the complexity of the proceduralized tasks performed by nuclear power plant main control room operators, and its suitability has been verified by comparing TACOM scores with two different types of human performance data, response times and subjective workload scores. The full appropriateness of the measure has yet to be sufficiently validated though, because of a current lack of comparisons between TACOM scores and associated human errors. In this regard, the purpose of this study was to further confirm the appropriateness of the TACOM measure by comparing human error data collected from a full-scope simulator of a domestic Korean nuclear power plant with the associated TACOM scores. Results show that the number of human errors increases proportionally with an increase in TACOM score. This result strongly implies that the TACOM measure is suited for use as a tool to estimate the complexity of proceduralized tasks, which would act as a key indicator to identify the vulnerable points most likely to lead to operator performance degradation.

Suggested Citation

  • Jang, Inseok & Kim, Yochan & Park, Jinkyun, 2021. "Investigating the Effect of Task Complexity on the Occurrence of Human Errors observed in a Nuclear Power Plant Full-Scope Simulator," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s0951832021002398
    DOI: 10.1016/j.ress.2021.107704
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    References listed on IDEAS

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    1. Jung, Wondea & Park, Jinkyun & Kim, Yochan & Choi, Sun Yeong & Kim, Seunghwan, 2020. "HuREX – A framework of HRA data collection from simulators in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    2. Park, Jinkyun, 2014. "Investigating the TACOM measure as a general tool for quantifying the complexity of procedure guided tasks," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 66-75.
    3. Park, Jinkyun & Jung, Wondea, 2007. "A study on the development of a task complexity measure for emergency operating procedures of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1102-1116.
    4. Dindar, Serdar & Kaewunruen, Sakdirat & An, Min, 2020. "Bayesian network-based human error reliability assessment of derailments," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Selvik, Jon T. & Bellamy, Linda J., 2020. "Addressing human error when collecting failure cause information in the oil and gas industry: A review of ISO 14224:2016," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    6. Jinkyun Park, 2009. "The Complexity of Proceduralized Tasks," Springer Series in Reliability Engineering, Springer, number 978-1-84882-791-2, April.
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    Cited by:

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    2. Park, Jooyoung & Boring, Ronald L. & Ulrich, Thomas A. & Lew, Roger & Lee, Sungheon & Park, Bumjun & Kim, Jonghyun, 2022. "A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Ke Niu & Wenbo Liu & Jia Zhang & Mengxuan Liang & Huimin Li & Yaqiong Zhang & Yihang Du, 2023. "A Task Complexity Analysis Method to Study the Emergency Situation under Automated Metro System," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

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