Author:
Stanney Kay M.,Schmorrow Dylan D.,Johnston Matthew,Fuchs Sven,Jones David,Hale Kelly S.,Ahmad Ali,Young Peter
Abstract
Augmented cognition is a form of human-systems interaction in which a tight coupling between user and computer is achieved via physiological and neurophysiological sensing of a user's cognitive state. This interactive paradigm seeks to revolutionize the manner in which humans engage with computers by leveraging this knowledge of cognitive state to precisely adapt user-system interaction in real time. This review provides an overview of contemporary works in the field of augmented cognition and details regarding the three main components of an augmented cognition system: cognitive state sensors, adaptation strategies, and control systems. The review provides a perspective on the field as well as insights into the many challenges that lie ahead for those who endeavor to realize the full potential of augmented cognition.
Subject
Public Health, Environmental and Occupational Health,Human Factors and Ergonomics
Cited by
33 articles.
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