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Task and Procedure Level Primitives for Modeling Human Error

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

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Abstract

In this paper, we describe the development of behavioral primitives for use in human reliability analysis (HRA). Previously, in the GOMS-HRA method, we described the development of task level primitives, which model basic human cognition and actions. Like generic task types found in some HRA methods, the task level primitives provide a generic or nominal human error probability. These generic task types are often modeled at the task level—grouped according to a high-level goal that includes many activities. In contrast, task level primitives represent a finer level of task decomposition, corresponding not to a group of actions that comprise an overall task but rather individual steps toward that task. In this paper, we further elaborate on the task level primitives by grouping task level primitives into procedure level primitives. This terminology reflects standard groupings of activities that are performed by reactor operators when following operating procedures. For the purposes of HRA, it is desirable to model operator actions according to these prescribed procedure categories. We present mappings of the procedure level to the task level primitives found in the GOMS-HRA method. We provide examples and conclude that procedure level primitives are a useful tool to streamline HRA modeling and quantification, especially for dynamic HRA applications.

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Notes

  1. 1.

    Note that a simplified model based on PLPs will likely be incrementally more detailed than a simplified HFE-level model. One premise of GOMS-HRA is that the more detail that is available in the HRA model, the higher the fidelity and scrutability of the quantification.

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Acknowledgements

This work of authorship was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately-owned rights. Idaho National Laboratory is a multi-program laboratory operated by Battelle Energy Alliance LLC, for the United States Department of Energy under Contract DE-AC07-05ID14517.

Hoomaikai Hawaiʻi, no ka leʻaleʻa ka hihia oiai kākau i kēia pepa. The authors express their thanks to Dr. Curtis Smith at Idaho National Laboratory for championing the research of HUNTER and GOMS-HRA and funding various parts under the U.S. Department of Energy’s Light Water Reactor Sustainability program and Idaho National Laboratory’s Laboratory Directed Research and Development program.

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Correspondence to Ronald Boring .

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Boring, R., Rasmussen, M., Ulrich, T., Ewing, S., Mandelli, D. (2018). Task and Procedure Level Primitives for Modeling Human Error. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_4

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