Oyvind, Josok, Knox, Benjamin J., Helkala, Kirsi, Wilson, Kyle M., Sutterlin, Stefan, Lugo, Ricardo G. and Odegaard, T. (2017) Macrocognition applied to the hybrid space: team environment, functions and processes in cyber operations. In: Ac 2017 Augmented Cognition, Enhancing Cognition and Behavior in Complex Human Environments. Lecture Notes in Computer Science . Springer, pp. 486-500. ISBN 9783319586243
Metadata only available from this repository.Abstract
As cyber is increasingly integrated into military operations, conducting military cyber operations requires the effective coordination of teams. This interdisciplinary contribution discusses teams working in, and in relation to the cyber domain as a part of a larger sociotechnical system, and the need for a better understanding of the human factors that contribute to individual and team performance in such settings. To extend an existing macrocognitive model [19] describing functions and processes into a conceptual framework that maps cognitive processes along cyber-physical and tactical-strategic dimensions (the Hybrid Space; [4]) to gain a better understanding of environmental complexity, and how to operate effectively in a cyber team context. Current experience from conducting cyber network defence exercises at the Norwegian Defence Cyber Academy and implications for future education and training are discussed.
Item Type: | Book Chapter |
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Additional Information: | 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II |
Uncontrolled Keywords: | macrocognition; cyber |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) T Technology > T Technology (General) U Military Science > U Military Science (General) |
Schools: | School of Human and Health Sciences School of Human and Health Sciences > Centre for Applied Psychological Research |
Related URLs: | |
Depositing User: | Kyle Wilson |
Date Deposited: | 12 May 2017 09:52 |
Last Modified: | 28 Aug 2021 12:16 |
URI: | http://eprints.hud.ac.uk/id/eprint/31885 |
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