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The SACADA database for human reliability and human performance

Author

Listed:
  • James Chang, Y.
  • Bley, Dennis
  • Criscione, Lawrence
  • Kirwan, Barry
  • Mosleh, Ali
  • Madary, Todd
  • Nowell, Rodney
  • Richards, Robert
  • Roth, Emilie M.
  • Sieben, Scott
  • Zoulis, Antonios

Abstract

Lack of appropriate and sufficient human performance data has been identified as a key factor affecting human reliability analysis (HRA) quality especially in the estimation of human error probability (HEP). The Scenario Authoring, Characterization, and Debriefing Application (SACADA) database was developed by the U.S. Nuclear Regulatory Commission (NRC) to address this data need. An agreement between NRC and the South Texas Project Nuclear Operating Company (STPNOC) was established to support the SACADA development with aims to make the SACADA tool suitable for implementation in the nuclear power plants' operator training program to collect operator performance information. The collected data would support the STPNOC's operator training program and be shared with the NRC for improving HRA quality. This paper discusses the SACADA data taxonomy, the theoretical foundation, the prospective data to be generated from the SACADA raw data to inform human reliability and human performance, and the considerations on the use of simulator data for HRA. Each SACADA data point consists of two information segments: context and performance results. Context is a characterization of the performance challenges to task success. The performance results are the results of performing the task. The data taxonomy uses a macrocognitive functions model for the framework. At a high level, information is classified according to the macrocognitive functions of detecting the plant abnormality, understanding the abnormality, deciding the response plan, executing the response plan, and team related aspects (i.e., communication, teamwork, and supervision). The data are expected to be useful for analyzing the relations between context, error modes and error causes in human performance.

Suggested Citation

  • James Chang, Y. & Bley, Dennis & Criscione, Lawrence & Kirwan, Barry & Mosleh, Ali & Madary, Todd & Nowell, Rodney & Richards, Robert & Roth, Emilie M. & Sieben, Scott & Zoulis, Antonios, 2014. "The SACADA database for human reliability and human performance," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 117-133.
    • Handle: RePEc:eee:reensy:v:125:y:2014:i:c:p:117-133
    DOI: 10.1016/j.ress.2013.07.014
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    References listed on IDEAS

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    1. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1041-1060.
    2. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1076-1101.
    3. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1014-1040.
    4. Christophe Bérenguer & Antoine Grall & C. Guedes Soares, 2011. "Advances in Safety, Reliability and Risk Management - ESREL 2011," Post-Print hal-02273237, HAL.
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