Vigilance Performance modeled as a Complex Adaptive System
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Authors
Wellbrink, Joerg
Zyda, Mike
Hiles, John
Subjects
Cognitive Architectures
Human Performance Models
Vigilance
Complex Adaptive System
Attention
Human Performance Models
Vigilance
Complex Adaptive System
Attention
Advisors
Date of Issue
2004
Date
2004
Publisher
Monterey, California: Naval Postgraduate School.
Language
Abstract
This research has addressed the need for modeling human performance more realistically. It
developed a computational model for vigilance performance, embedded in a new cognitive framework that utilizes
recent advances in system neuroscience, evolutionary psychology, and complexity theory. A computational model of
vigilance is needed —for example to simulate airport security screeners, radar screen operators, sonar operators, and
intelligence analysts. The developed model allows the simulation of realistic human errors in monitoring tasks; it can
thereby generate surprises in simulation programs that might show weaknesses of security systems.
After studying human performance especially vigilance, experiments were conducted to establish correlations
between personality and performance and to collect data for calibrating and validating the model.
The robust model shows a reasonable range of individual behaviors and represents a tool well suited for gaining
insights into vigilance theories. The insights can potentially be used to improve existing theories and monitoring
procedures, minimizing errors that might lead to catastrophic outcomes
Type
Article
Presentation
Presentation
Description
2004 Simulation Interoperability Workshop, Paper Number 7 & Presentation
Simulation Interoperability Standards Organization (SISO) SIW Conference Paper
Simulation Interoperability Standards Organization (SISO) SIW Conference Paper
Series/Report No
Department
Modeling, Virtual Environments, and Simulation Institute (MOVES)
Organization
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NPS Report Number
Sponsors
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Distribution Statement
Rights
This publication is a work of the U.S. Government as defined
in Title 17, United States Code, Section 101. As such, it is in the
public domain, and under the provisions of Title 17, United States
Code, Section 105, is not copyrighted in the U.S.