Abstract
One expert has said "Most simply put, situational awareness (SA) is knowing what is going on around you." [1] "Knowing" is not just having a checklist of facts. Functionally, SA is about possessing information of sufficient scope and accuracy to support decision making that facilitates effective action. Augmented Cognition research shows that presenting too much data, even of high quality, can be as harmful to effective cognition as presenting little or no data [2]. Research has shows that in 35% of aviation errors in SA, all needed information was present, but not attended to by decision makers. [3] This work presents a formal but simple mathematical SA Model, and describes the application of data mining and modeling to SA errors resulting from inattention to the most salient facts. The model is applied to two data sets to demonstrate a general approach to automating the detection and diagnosis of SA errors.
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Hancock, M., Higley, M. (2014). Mining and Modeling the Phenomenology of Situational Awareness. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems. AC 2014. Lecture Notes in Computer Science(), vol 8534. Springer, Cham. https://doi.org/10.1007/978-3-319-07527-3_12
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DOI: https://doi.org/10.1007/978-3-319-07527-3_12
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