Date of Award
2019
Type
Thesis
Major
Computer Science - Applied Computing Track
Degree Type
Master of Science in Applied Computer Science
Department
TSYS School of Computer Science
First Advisor
Dr. Anastasia Angelopoulou
Second Advisor
Dr. Radhouane Chouchane
Third Advisor
Dr. Rodrigo Obando
Abstract
This report 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.
Recommended Citation
Boyapati, Nitisha Reddy, "A Simulation Model for Estimating Human Error Probability" (2019). Theses and Dissertations. 632.
https://csuepress.columbusstate.edu/theses_dissertations/632
