Channel selection and feature projection for cognitive load estimation using ambulatory EEG
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Human performance in virtual environments
Computing with instinct
Adaptive attention allocation support: effects of system conservativeness and human competence
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
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We describe a novel, model-based approach toaugmented cognition. We first discuss a subset ofcognitive limitations that are likely to impairperformance. We then note traditional approaches to theenhancement of cognitive abilities and theirshortcomings, and compare the augmented approach tothat of the traditional human-computer interface design.We discuss an example of our approach involvingaugmenting human ability to allocate attention in taskssuch as search and monitoring. The model of attentionalprocesses is then used to develop a framework for anoptimal attention allocation process. Finally, we describea pilot experiment in which observers' eye gaze ismonitored and used to help them allocate attention.