Situation awareness global assessment technique (SAGAT)
DOI: 10.1109/naecon.1988.195097
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Summary
The provided text outlines the methodology and operational procedure of the Situation Awareness Global Assessment Technique (SAGAT), a method developed to objectively measure pilot situation awareness (SA) in simulation environments. The technique addresses the need for a standardized, statistically valid approach to evaluating how well pilots perceive and understand their operational environment, allowing for comparisons across different pilots, systems, and missions. The SAGAT procedure involves a specific sequence of steps within a man-in-the-loop simulation. First, a pilot executes a mission scenario using a specific aircraft system. At a randomly selected point in time, the simulation is halted, and both cockpit and out-the-window displays are blanked to prevent the pilot from accessing current visual information. The pilot is then queried via a Macintosh computer interface about their knowledge of the situation at that exact moment. These questions are designed to correspond directly to the pilot’s SA requirements. Because it is impractical to query all SA requirements in a single stop, a random subset of questions is selected for each halt. This random sampling ensures consistency and statistical validity, enabling the comparison of SA scores across various trials and conditions. The questions cover both highly important and secondary SA information. Upon completion of the trials, the pilot’s responses are evaluated against the actual state of the simulation. This evaluation is primarily objective, achieved by comparing the pilot’s answers to data collected from the simulation computers. In cases requiring subjective judgment, such as determining priority threats, evaluations may be augmented by a team of expert pilots. This comparison between the real situation and the pilot’s perceived situation provides an objective measure of SA. A composite SAGAT score is calculated for the system under investigation. This score is typically stratified into three zones—immediate, intermediate, and long-range—to offer evaluators a comprehensive view of the pilot’s SA. Additionally, individual components contributing to SA can be examined separately to provide detailed diagnostics for system designers. To ensure statistical significance, the random sampling process is repeated multiple times for several pilots flying the same system. The resulting SAGAT scores allow for the comparison of different system designs, facilitating the assessment of how various aircraft systems impact pilot situation awareness. The method, originally described by M. R. Endsley in 1988, provides a rigorous framework for quantifying SA, moving beyond subjective assessments to data-driven evaluations that support system design and improvement.
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