The system dynamics architecture of UTASiMo: A simulation-based task analysis tool to predict human error probability

Human reliability Discrete-Event Simulation
DOI: 10.1109/cogsima.2017.7929604 Publication Date: 2017-05-18T22:37:47Z
ABSTRACT
This paper describes the system dynamics architecture of UTASiMo, a simulation-based task analysis tool that simulates outcomes for design and estimates execution times, workload, human error probability. UTASiMo combines discrete event, agent-based, simulation methods to automatically construct simulate models correspond different scenarios test prospective designs. Here, we focus on model, which captures causal relationships factors affecting uses them assess overall probability simulated (SimHEP). SimHEP provides quantitative basis system's evaluation. The present work is continuation our previous aims introduce as potential method reliability.
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