Abstract
We examined the effectiveness of situation awareness probe questions in predicting sector performance and behavior in a human-in-the-loop simulation air traffic management (ATM) simulation with low (50%) and high (75%) traffic densities. Probes were presented online during the performance of the air traffic management task, and the accuracy and response latencies were measured. Hierarchical linear modeling was used to analyze the predictive power of each category type. Response latencies for conflict probe questions predicted performance metrics associated with separation assurance.
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Strybel, T.Z., Minakata, K., Nguyen, J., Pierce, R., Vu, KP.L. (2009). Optimizing Online Situation Awareness Probes in Air Traffic Management Tasks. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Information and Interaction. Human Interface 2009. Lecture Notes in Computer Science, vol 5618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02559-4_91
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DOI: https://doi.org/10.1007/978-3-642-02559-4_91
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