Demonstration Integrated Knowledge-Based System for Estimating Human Error Probabilities

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Human Reliability Analysis (HRA) is currently comprised of at least 40 different methods that are used to analyze, predict, and evaluate human performance in probabilistic terms. Systematic HRAs allow analysts to examine human-machine relationships, identify error-likely situations, and provide estimates of relative frequencies for human errors on critical tasks, highlighting the most beneficial areas for system improvements. Unfortunately, each of HRA's methods has a different philosophical approach, thereby producing estimates of human error probabilities (HEPs) that area better or worse match to the error likely situation of interest. Poor selection of methodology, or the improper application of techniques can produce ... continued below

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3 p.

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Auflick, Jack L. April 21, 1999.

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Human Reliability Analysis (HRA) is currently comprised of at least 40 different methods that are used to analyze, predict, and evaluate human performance in probabilistic terms. Systematic HRAs allow analysts to examine human-machine relationships, identify error-likely situations, and provide estimates of relative frequencies for human errors on critical tasks, highlighting the most beneficial areas for system improvements. Unfortunately, each of HRA's methods has a different philosophical approach, thereby producing estimates of human error probabilities (HEPs) that area better or worse match to the error likely situation of interest. Poor selection of methodology, or the improper application of techniques can produce invalid HEP estimates, where that erroneous estimation of potential human failure could have potentially severe consequences in terms of the estimated occurrence of injury, death, and/or property damage.

Physical Description

3 p.

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OSTI as DE00008234

Medium: P; Size: 3 pages

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  • Integrity Assessment and Risk Analysis 1999 ASME-PVP Conference, Boston, MA (US), 08/01/1999--08/05/1999

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  • Report No.: LA-UR-98-3935
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 8234
  • Archival Resource Key: ark:/67531/metadc781013

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  • April 21, 1999

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • April 10, 2017, 7:21 p.m.

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Auflick, Jack L. Demonstration Integrated Knowledge-Based System for Estimating Human Error Probabilities, article, April 21, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc781013/: accessed May 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.