An Intelligent Debriefing System for Situation Awareness Training

Ellen J. Bass, Samuel T. Ernst-Fortin, and Phillip C. Duncan

An option to ensure that operators of complex systems have adequate situation awareness (SA) to support decision making and action is to train them to acquire and maintain SA. This paper expands upon an original approach to the problem of training and aiding SA skills in real-time operations by adding an intelligent debriefing capability. The system logs detected discrepancies from expected performance while the trainee performs a simulated mission. The system classifies the discrepancy data along multiple criteria so it can be viewed in many different ways according to the needs of the trainee and the instructor. When discrepancies occur, the system also saves the simulation state model so the trainee can request the detailed context.

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