Visual analysis and filtering to augment cognition

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Abstract

We built and demonstrated a system that augments instructors' sensing abilities and augments their cognition through analysis and filtering of visual information. Called BASE-IT, our system helps US Marine instructors provide excellent training despite the challenging environment, hundreds of trainees and high trainee-to-instructor ratios, non-stop action, and diverse training objectives. To accomplish these objectives, BASE-IT widens the sensory input in multiple dimensions and filters relevant information: BASE-IT a) establishes omnipresence in a large training area, b) supplies continuous evaluation during multi-day training, c) pays specific attention to every individual, d) is specially equipped to identify dangerous situations, and e) maintains virtual vantage points for improved situational awareness. BASE-IT also augments and personalizes the after-action review information available to trainees. This paper focuses on the automated data analysis component, how it supplements the information available to instructors, and how it facilitates understanding of individual and team performances on the training range. © 2013 Springer-Verlag Berlin Heidelberg.

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APA

Kölsch, M., Wachs, J., & Sadagic, A. (2013). Visual analysis and filtering to augment cognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8027 LNAI, pp. 695–702). https://doi.org/10.1007/978-3-642-39454-6_74

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