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Titlebook: Augmented Cognition: Intelligent Technologies; 12th International C Dylan D. Schmorrow,Cali M. Fidopiastis Conference proceedings 2018 Spri

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https://doi.org/10.1007/978-3-540-36689-8Tutoring on a one-on-one basis from an expert human tutor who is also a subject matter expert represents the ideal arrangement for learning – improving student outcomes on between one and two standard deviations.
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Adaptive, Policy-Driven, After Action Review in the Generalized Intelligent Framework for TutoringTutoring on a one-on-one basis from an expert human tutor who is also a subject matter expert represents the ideal arrangement for learning – improving student outcomes on between one and two standard deviations.
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Behaviour Adaptation Using Interaction Patterns with Augmented Reality Elements professional operators whether driving performance and safety in a vehicle with restricted vision could be improved. Furthermore, it was tested whether interaction patterns could be used to adapt the current driver behaviour towards better performance while reducing the task load. Using interaction
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Community Models to Enhance Adaptive Instructionarner attributes along with instructional conditions to select appropriate strategies and tactics. This is usually accomplished through the use of machine learning techniques, but large amounts of data are needed to reinforce the learning of these algorithms over time. We propose a method to develop
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Trust in Sensing Technologies and Human Wingmen: Analogies for Human-Machine Teamsstems. The present research examines an emerging predictor of trust in automation, Perfect Automation Schema, as a predictor of trust in the sensing capabilities. Additionally, the current study examines trust of a human wingman as an analogy for looking at trust within the context of a HMT. The fin
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