1. Proceedings
  2. I3M
  3. 2019
  4. EMSS
  5. 10.46354/i3m.2019.emss.038

A simulation model for estimating human error probability

  • a Anastasia Angelopoulou  ,
  • b Konstantinos Mykoniatis  ,
  • c Nithisha Reddy Boyapati  
  • a,c Columbus State University, USA
  • b Auburn University, USA
Cite as
Angelopoulou A., Mykoniatis K., Boyapati N.R. (2019). A simulation model for estimating human error probability. Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 262-267. DOI: https://doi.org/10.46354/i3m.2019.emss.038.

Abstract

This paper describes the system dynamics architecture of a simulation model which estimates human error probability for humans performing certain tasks in a given scenario. Human error probability is estimated as a function of the type of tasks performed and the number of performance shaping factors. In this work, the Standardized Plant Analysis Risk-Human (SPAR-H) reliability analysis method is utilized for estimating the probability of human error. The system dynamics simulation model captures the cause and effect relationships of the SPAR-H defined performance shaping factors that affect human error and uses them to assess the overall human error probability of the system. The present work is a continuation of our previous work on task analysis, workload and human reliability assessment simulation and aims to evaluate the system dynamics simulation as a potential approach to assess human reliability.

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