Interdisciplinary area of psychology and engineering
Augmented cognition is an interdisciplinary area of psychology and engineering, attracting researchers from the more traditional fields of human-computer interaction, psychology, ergonomics and neuroscience.[1][2] Augmented cognition research generally focuses on tasks and environments where human–computer interaction and interfaces already exist. Developers, leveraging the tools and findings of neuroscience, aim to develop applications which capture the human user's cognitive state in order to drive real-time computer systems.[3][4] In doing so, these systems are able to provide operational data specifically targeted for the user in a given context.[3] Three major areas of research in the field are: Cognitive State Assessment (CSA), Mitigation Strategies (MS), and Robust Controllers (RC).[4] A subfield of the science, Augmented Social Cognition, endeavours to enhance the "ability of a group of people to remember, think, and reason."[5]
^Miller, Christopher A.; Dorneich, Michael C. (2006). "From Associate Systems to Augmented Cognition: 25 Years of User Adaptation in High Criticality Systems". Foundations of Augmented Cognition. 2: 344–353.
^Stanney, Kay M.; Schmorrow, Dylan D.; Johnston, Mathew; Fuchs, Sven; Jones, David; Hale, Kelly S.; Ahmad, Ali; Young, Peter (2009). "Augmented cognition: An overview". Reviews of Human Factors and Ergonomics. 5 (1): 195–224. doi:10.1518/155723409X448062.
^ abSchmorrow, D.D.; Kruse, A.A. (2002). "DARPA's Augmented Cognition Program-tomorrow's human computer interaction from vision to reality: Building cognitively aware computational systems". Proceedings of the IEEE 7th Conference on Human Factors and Power Plants. doi:10.1109/HFPP.2002.1042859. ISBN0-7803-7450-9. S2CID108991554.
^ abReeves, Leah M.; Schmorrow, Dylan D.; Stanney, Kay M. (2007). "Augmented Cognition and Cognitive State Assessment Technology – Near-Term, Mid-Term, and Long-Term Research Objectives". In Schmorrow, Dylan D. (ed.). Foundations of Augmented Cognition. Lecture Notes in Computer Science. Vol. 4565. Springer Berlin Heidelberg. pp. 220–228. doi:10.1007/978-3-540-73216-7_25. ISBN978-3-540-73215-0. S2CID33734841.