author={Dylan Schmorrow and Dennis McBride},
  journal={International Journal of Human–Computer Interaction},
  pages={127 - 130}
Augmented cognition is a constellation of desires, concepts, and goals aimed at maximizing human cognitive abilities through the unification of humans and computational systems. It is the focus of basic and applied research efforts that range from investigations into brain activity to experiments with cognitive prosthetics. Fundamental research and the related technology developments in this domain have centered on alleviating and maximizing human and computer information processing bottlenecks… 
1 Citations

Self-control Strategies: Interpreting and Enhancing Augmented Cognition from a Self-regulatory Perspective

This paper outlines the nature and potential implications of an emerging view of self-regulation focusing on five major self- control strategies and discusses how this self-control strategies perspective may help inform the understanding of current augmented cognition approaches, suggest new directions for the development of mitigation strategies, and highlight new research directions.



Overview of the DARPA Augmented Cognition Technical Integration Experiment

The empirical results of a Technical Integration Experiment involving the evaluation of 20 psychophysiological measures from 11 different research groups and the prospects for the successful transition of these cognitive state gauges to operational military human-machine systems are summarized.

Postural Control as a Probe for Cognitive State: Exploiting Human Information Processing to Enhance Performance

A unique suite of Cognitive Workload Assessment tools, based on real-time measurements of postural control that can serve as both a stand-alone indicator of cognitive state as well as a cueing filter for engaging other CWA sensor suites that are currently under development are proposed.

A Paradigm Shift in Interactive Computing: Deriving Multimodal Design Principles from Behavioral and Neurological Foundations

It is proposed that this may be accomplished by creating multimodal display systems that augment or switch modalities to maximize user information processing, which would ultimately be informed by a user's neurophysiological state.

Dynamic Models of Augmented Cognition

With changing technology and improving understanding of human neural mechanisms, the point is rapidly approaching where human-computer interaction could integrate information based on real-time

Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset

An integrated hardware and software solution for acquisition and real-time analysis of the electroencephalogram (EEG) to monitor indexes of alertness, cognition, and memory to augment cognition in military and industrial environments is presented.

Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance

The results presented demonstrate conclusively that the tracking of fluctuations from alertness to drowsiness within the vigilance continuum is possible by neural network analysis of a single channel of EEG recorded from the mastoid site.

A Real-Time Index of Vagal Activity

A computing system is described that produces a real-time cardiac-based measure of arousal based on changes in respiratory sinus arrhythmia, an established measure of vagal activity that could be applied in a number of scenarios, including training, stressful repetitive work, and military operations.

Functional optical brain imaging using NIR during cognitive tasks

  • International Journal of Human-Computer Interaction,
  • 2004