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A Dynamic Mechanistic Model of Human Response Proposed for Human Reliability Analysis

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 589))

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Abstract

A dynamic mechanistic model of human response for human reliability analysis is proposed in this paper. The model is comprised of three main components: information perception, knowledge base, and human reasoning and decision making. The activation based approach, which considers both stimulus-driven and goal-directed activations, is adopted model the impact of information perception on the reasoning process. An operator’s knowledge base is represented by a semantic network in the model. Activation propagation theory is applied to model human reasoning and decision making. Illustration of activation propagation through the relief-valve-stuck-open incident in the Three Mile Island accident demonstrates the feasibility of this approach. Additionally, the influences of two significant performance shaping factors, stress and fatigue, are integrated into the model.

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Acknowledgments

This research is funded by U.S. Nuclear Regulatory Commission under Grant NRC-HQ-60-15-G-0002.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, 43210, USA

    Yunfei Zhao & Carol Smidts

Authors
  1. Yunfei Zhao
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  2. Carol Smidts
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Corresponding author

Correspondence to Yunfei Zhao .

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Editors and Affiliations

  1. Idaho National Laboratory, Idaho Falls, Idaho, USA

    Ronald Laurids Boring

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Zhao, Y., Smidts, C. (2018). A Dynamic Mechanistic Model of Human Response Proposed for Human Reliability Analysis. 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_26

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60644-6

  • Online ISBN: 978-3-319-60645-3

  • eBook Packages: EngineeringEngineering (R0)

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