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Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 4: IDAC causal model of operator problem-solving response

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  • Chang, Y.H.J.
  • Mosleh, A.

Abstract

This is the fourth in a series of five papers describing the Information, Decision, and Action in Crew context (IDAC) operator response model for human reliability analysis. An example application of this modeling technique is also discussed in this series. The model has been developed to probabilistically predicts the responses of a nuclear power plant control room operating crew in accident conditions. The operator response spectrum includes cognitive, emotional, and physical activities during the course of an accident. This paper assesses the effects of the performance-influencing factors (PIFs) affecting the operators’ problem-solving responses including information pre-processing (I), diagnosis and decision making (D), and action execution (A). Literature support and justifications are provided for the assessment on the influences of PIFs.

Suggested Citation

  • Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 4: IDAC causal model of operator problem-solving response," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1061-1075.
  • Handle: RePEc:eee:reensy:v:92:y:2007:i:8:p:1061-1075
    DOI: 10.1016/j.ress.2006.05.011
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    References listed on IDEAS

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    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, Oxford University Press, vol. 69(1), pages 99-118.
    2. Rothstein, Howard G., 1986. "The effects of time pressure on judgment in multiple cue probability learning," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 83-92, February.
    3. Einhorn, Hj & Hogarth, Rm, 1981. "Behavioral Decision-Theory - Processes Of Judgment And Choice," Journal of Accounting Research, Wiley Blackwell, vol. 19(1), pages 1-31.
    4. Ford, J. Kevin & Schmitt, Neal & Schechtman, Susan L. & Hults, Brian M. & Doherty, Mary L., 1989. "Process tracing methods: Contributions, problems, and neglected research questions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(1), pages 75-117, February.
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    Citations

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    Cited by:

    1. Porthin, Markus & Liinasuo, Marja & Kling, Terhi, 2020. "Effects of digitalization of nuclear power plant control rooms on human reliability analysis – A review," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    2. Lee, Hyun-Chul & Seong, Poong-Hyun, 2009. "A computational model for evaluating the effects of attention, memory, and mental models on situation assessment of nuclear power plant operators," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1796-1805.
    3. Wang, Lijing & Wang, Yanlong & Chen, Yingchun & Pan, Xing & Zhang, Wenjin, 2020. "Performance shaping factors dependence assessment through moderating and mediating effect analysis," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    4. Vaurio, Jussi K., 2009. "Human factors, human reliability and risk assessment in license renewal of a nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1818-1826.
    5. Abrishami, Shokoufeh & Khakzad, Nima & Hosseini, Seyed Mahmoud & van Gelder, Pieter, 2020. "BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    6. Ramos, M.A. & Thieme, Christoph A. & Utne, Ingrid B. & Mosleh, A., 2020. "Human-system concurrent task analysis for maritime autonomous surface ship operation and safety," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    7. Zhang, Xiaoge & Mahadevan, Sankaran & Lau, Nathan & Weinger, Matthew B., 2020. "Multi-source information fusion to assess control room operator performance," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    8. 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).
    9. Groth, Katrina M. & Mosleh, Ali, 2012. "A data-informed PIF hierarchy for model-based Human Reliability Analysis," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 154-174.
    10. Li, Jue & Li, Heng & Wang, Fan & Cheng, Andy S.K. & Yang, Xincong & Wang, Hongwei, 2021. "Proactive analysis of construction equipment operators’ hazard perception error based on cognitive modeling and a dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    11. Wang, Lijing & Wang, Yanlong & Chen, Yingchun & Pan, Xing & Zhang, Wenjin & Zhu, Yanzhi, 2020. "Methodology for assessing dependencies between factors influencing airline pilot performance reliability: A case of taxiing tasks," Journal of Air Transport Management, Elsevier, vol. 89(C).
    12. Shirley, Rachel Benish & Smidts, Carol & Zhao, Yunfei, 2020. "Development of a quantitative Bayesian network mapping objective factors to subjective performance shaping factor evaluations: An example using student operators in a digital nuclear power plant simul," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    13. Di Pasquale, Valentina & Miranda, Salvatore & Iannone, Raffaele & Riemma, Stefano, 2015. "A Simulator for Human Error Probability Analysis (SHERPA)," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 17-32.
    14. Groth, Katrina M. & Smith, Reuel & Moradi, Ramin, 2019. "A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    15. Bandeira, Michelle Carvalho Galvão Silva Pinto & Correia, Anderson Ribeiro & Martins, Marcelo Ramos, 2018. "General model analysis of aeronautical accidents involving human and organizational factors," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 137-146.
    16. Abílio Ramos, M. & López Droguett, E. & Mosleh, A. & Das Chagas Moura, M., 2020. "A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    17. De Ambroggi, Massimiliano & Trucco, Paolo, 2011. "Modelling and assessment of dependent performance shaping factors through Analytic Network Process," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 849-860.

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