Affiliation:
1. BBN Technologies, Cambridge, Massachusetts,
Abstract
Objective: I provide a summary that introduces three significant threads in the development of human performance models (HPMs) — manual control models derived from engineering control theory, network models founded on the definition of human reliability, and models derived from cognitive architectures. Background: HPMs are important because they allow the quantification of human performance capacities and limitations to be included in the analysis and simulation of engineering systems. Method: For each thread, founding articles and contemporary developments are cited that illustrate the range of innovation that has taken place. Results: Many contemporary concepts are rooted in this modeling history. Conclusion: The most successful models represent circumstances for which the situational and temporal environment in which the human performance takes place is most heavily constrained. Application: Applied illustrations are drawn from vehicle handling qualities, unmanned aerial systems, and mission training, for example.
Subject
Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics
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