Titlebook: Augmented Cognition; 13th International C Dylan D. Schmorrow,Cali M. Fidopiastis Conference proceedings 2019 Springer Nature Switzerland AG

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Automating Crime Informatics to Inform Public Policyrmation of a many-feature dataset. Further, all features in the set can be rank ordered by their K-metric values, providing an automated means of identifying and objectively quantifying potentially causal factors for intervention services.

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Visualizing Parameter Spaces of Deep-Learning Machinesground for those not familiar with deep-learning machines, we present a methodology for visualizing their parameter spaces, and describe how visual analysis of these spaces can inform developers..Methods are shown for creating visual representations of performance manifolds, and how these representa

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Enacting Virtual Reality: The Philosophy and Cognitive Science of Optimal Virtual Experienceredicated approach and argues, in particular, for a flow-based conception of immersive VR experience. Section?. systematically discusses the methodological implications of the theoretical merits of this article by examining a design probe, ., conducted on participants (.=.) in a mixed reality (MR) s

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Paul Michael Pechan,Gert E. Vriese words. We show that, when cues provided by the objects correspond to a ‘logical’ task sequence (i.e., familiar and/or easily interpretable), they aid performance and when these cues relate to ‘illogical’ task sequences, performance is impaired. We explain these results in terms of forms of engagem

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https://doi.org/10.1007/b138664lts point to the creation of an accurate player’s preference profiles during a baseline mission, with profile matching both a “ground truth” Fun Trace – a continuous, subjective rating of a player’s fun – and a self-reported profile with an accuracy of . and . respectively. This, however, did not tr

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