Abstract
dc:description.abstract<p>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.</p>
Degree
thesis:*- Name thesis:degree_name
- Computer Science - Applied Computing Track
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- TSYS School of Computer Science
- Year
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Boyapati, Nitisha Reddy
- Contributors dc:contributor
-
- Dr. Anastasia Angelopoulou
- Dr. Radhouane Chouchane
- Dr. Rodrigo Obando
Subjects
dc:subject × 6Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://csuepress.columbusstate.edu/theses_dissertations/632
- OAI identifier oai:identifier
- oai:csuepress.columbusstate.edu:theses_dissertations-1583