Abstract
Neurocognitive Patterns is a system that will offer execution options to users as soon as they form an intention to act. It will accomplish this by combining neural signals, user behavior, and contextual knowledge to determine when a user has a goal, and what that goal is. Because it will leverage the user’s neural signals and behavioral history, the options it will provide to the user will be available quickly. Because it will leverage real-time contextual and background knowledge, its estimates concerning the user’s goal will be accurate. Our initial target domain is UAV operators, but we expect it will be of use to other military decision-makers in Command and Control settings. We also expect that Neurocognitive Patterns will be a useful tool in Cognitive Neuroscience in general for interpreting neural signals in the presence of salient contextual information.
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Luu, P., Geyer, A., Fidopiastis, C., Campbell, G., Wheeler, T., et al.: Reentrant Processing in Intuitive Perception. PLoS ONE 5(3), e9523 (2010), doi:10.1371/journal.pone.0009523
Just, M., Cherkassky, V., Aryal, S., Mitchell, T.: A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes. PLoS ONE 5(1) (2010), DOI: 10.1371/journal.pone.0008622
Stacy, W., Cohn, J.V., Geyer, A., Wheeler, T.: A Cognition-Based Control System for Autonomous Robots. In: Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting, vol. 54, pp. 1473–1477 (2010)
Fauconnier, G., Turner, M.: The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities. Basic Books, New York (2002)
Barsalou, L.W.: Abstraction as dynamic interpretation in perceptual symbol systems. In: Gershkoff-Stowe, L., Rakison, D. (eds.) Building object categories. Carnegie Symposium Series, pp. 389–431. Erlbaum, Majwah (2005)
Kveraga, K., Ghuman, A.S., Bar, M.: Top-down predictions in the human brain. Brain and Cognition 65, 145–168 (2007)
Riordan, B., Bruni, S., Schurr, N., Freeman, J., Ganberg, G., Cooke, N.J., Rima, N.: Inferring user intent with Bayesian inverse planning: Making sense of multi-UAS mission management. In: Proceedings of the 20th Behavior Representation in Modeling and Simulation Conference (BRIMS), Sundance, Utah (2011)
Baker, C.L., Saxe, R., Tenenbaum, J.B.: Action understanding as inverse planning. Cognition 113(3), 29–349 (2009)
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Stacy, W. (2011). Neurocognitive Patterns: Using Brain, Behavior, and Context to Infer User Intent. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Foundations of Augmented Cognition. Directing the Future of Adaptive Systems. FAC 2011. Lecture Notes in Computer Science(), vol 6780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21852-1_31
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DOI: https://doi.org/10.1007/978-3-642-21852-1_31
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