Abstract
The paradigm shift in pervasive computing drives human-computer interaction (HCI) toward complex domains, where novel approaches to support human cognition in mobile and dynamic environments are necessary. The field of Augmented Cognition (AugCog) provides a scientifically-grounded approach toward intrinsic human information processing and challenges associated with data-intensive systems, leveraging empirically-based HCI solutions that account for human cognitive limitations. Applying this to ubiquitous computing demands unobtrusive technologies capable of time-dependant user assessment in various environments. Technological advances and utilization of personal activity reporting at a consumer level have made ubiquitous AugCog a necessary implementation. Such technologies (i.e., head-mounted displays) produce a deluge of data, generating a need for experimentally-based metrics, algorithms, and adaptive interfaces for closed-loop, synergistic human-technology performance systems. A Ubiquitous AugCog framework is proposed along with an essential use case to guide the design of multi-modal human performance assessment and optimization tools beyond laboratory settings.
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Skinner, A., Russo, C., Baraniecki, L., Maloof, M. (2014). Ubiquitous Augmented Cognition. 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_7
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DOI: https://doi.org/10.1007/978-3-319-07527-3_7
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