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Modeling Vigilance Performance as a Complex Adaptive SystemThe MOVES Institute, Naval Postgraduate School
Director, the MOVES Institute, Naval Postgraduate School
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
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, Vol. 1, No. 1,
29-42 (2004) |
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