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Supporting after action review in simulator mission training: Co-creating visualization concepts for training of fast-jet fighter pilots
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Number of Authors: 82019 (English)In: The Journal of Defence Modeling and Simulation: Applications, Methodology, Technology, ISSN 1548-5129, E-ISSN 1557-380X, Vol. 16, no 3, p. 219-231Article, review/survey (Refereed) Published
Abstract [en]

This article presents the design and evaluation of visualization concepts supporting After Action Review (AAR) in simulator mission training of fast-jet fighter pilots. The visualization concepts were designed based on three key characteristics of representations: re-representation, graphical constraining, and computational offloading. The visualization concepts represent combined parameters of missile launch and threat range, the former meant to elicit discussions about the prerequisites for launching missiles, and the latter to present details of what threats a certain aircraft is facing at a specific moment. The visualization concepts were designed to: 1) perceptually and cognitively offload mental workload from participants in support of determining relevant situations to discuss; 2) re-represent parameters in a format that facilitates reading-off of crucial information; and 3) graphically constrain plausible interpretations. Through a series of workshop iterations, two visualization concepts were developed and evaluated with 11 pilots and instructors. All pilots were unanimous in their opinion that the visualization concepts should be implemented as part of the AAR. Offloading, in terms of finding interesting events in the dynamic and unique training sessions, was the most important guiding concept, while re-representation and graphical constraining enabled a more structured and grounded collaboration during the AAR.

Place, publisher, year, edition, pages
2019. Vol. 16, no 3, p. 219-231
Keywords [en]
After-action-review (AAR), design-based research, external cognition, simulator-based training, performance evaluation, visualizations
National Category
Human Computer Interaction Interaction Technologies
Identifiers
URN: urn:nbn:se:su:diva-170835DOI: 10.1177/1548512918823296ISI: 000470768900001OAI: oai:DiVA.org:su-170835DiVA, id: diva2:1339311
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf