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Modeling Vigilance Performance as a Complex Adaptive System

The MOVES Institute, Naval Postgraduate School

Mike Zyda, Ph.D.

Director, the MOVES Institute, Naval Postgraduate School

John Hiles

The MOVES Institute, Naval Postgraduate School

Current cognitive models not only lack flexibility and realism, they struggle to model individual behavior and reduced performance. We propose that reduced human performance can be best modeled as a complex adaptive system. We built a multi-agent model, "Reduced Human Performance Model (RHPM)," as a proof of principle. The simulation system realistically simulates the reduction of vigilance that individuals experience during such operations as airport screening, radar-screen operation, and other vital tasks in which attention easily flags. The developed multi-agent system generates individual behavior within a reasonable range. Its use for computer-generated forces (i.e., radar screen operator) would improve the realism of simulation systems by adding human-like reduced vigilance performance. The model represents a well suited tool to mediate between vigilance theories such as signal detection theory and experimental data. Using the model as a surrogate generates insights that potentially create likely hypotheses to improve the theories.

Key Words: Cognitive architectures • human performance models • vigilance • complex adaptive system • attention

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The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, Vol. 1, No. 1, 29-42 (2004)
DOI: 10.1177/154851290400100103


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This Article Abstract Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Wellbrink, J. Articles by Hiles, J. Search for Related Content Social Bookmarking                         What's this?