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Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model
Authors:Y.H.J. Chang  A. Mosleh
Affiliation:aCenter for Risk and Reliability, University of Maryland, College Park, MD 20742, USA;bPaul Scherrer Institute, 5232 Villigen PSI, Switzerland
Abstract:This is the first in a series of five papers that discuss the information, decision, and action in crew context (IDAC) model for human reliability analysis (HRA). An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room-operating crew during an accident for use in probabilistic risk assessments. The operator response spectrum includes cognitive, emotional, and physical activities during the course of the accident. This paper provides an overview of the IDAC architecture and principles of implementation as a HRA model. IDAC includes a crew model of three types of operators: decision maker, action taker, and consultant. Within the crew context, each individual operator's behaviors are simulated through a cognitive model under the influence of a number of explicitly modeled performance-influencing factors.
Keywords:Human reliability analysis   Cognitive response   Simulation   Dynamic probabilistic risk assessment
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