Bringing together a comprehensive and diverse collection of research, theory, and thought, this volume builds a foundation for the new field of Augmented Cognition research and development. The first section introduces general Augmented Cognition methods and techniques, including physiological and neurophysiological measures such as EEG and fNIR; adaptive techniques; and sensors and algorithms for cognitive state estimation. The second section discusses Augmented Cognition applications such as simulation and training, intent-driven user interfaces, closed-loop command and control systems, then goes on to explore lessons learned to date, and future directions in Augmented Cognition-enabled HCI.