Development and evaluation of a model of human performance in a large-scale system

Abstract

Human performance in monitoring and controlling a large-scale system, such as a communication network, is considered. A model of performance in monitoring and controlling a simulated large-scale system is proposed that explicitly incorporates three types of knowledge: system, contextual, and task knowledge. The first two types are represented by a set of rules. The model is further characterized by a fuzzy role prioritization scheme. The model compares favorably to human performance in an experimental validation. >