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Cognitive work analysis and conceptual designing for unmanned air traffic management in cities
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. (IxS)ORCID iD: 0000-0003-2919-098X
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (IxS)ORCID iD: 0000-0002-2529-4303
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2018 (English)In: Proceedings of the 36th European Conference on Cognitive Ergonomics (ECCE'18), New York: ACM Press, 2018, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Cognitive Work Analysis (CWA) is an appropriate approach in high-stakes domains, such as Air Traffic Management (ATM). It provides focus on human expert performance in regular as well as contingency situations. However, CWA is not suitable for the design of a first-of-a-kind system, since there is nothing to analyze before the start of the design process. In 2017, unmanned traffic management (UTM) for intense drone traffic in cities was such a system. Making things worse, the UTM system has to be in place before the traffic, since it provides basic safety. In this paper we present conceptual designing as a bootstrapping approach to CWA for UTM as a first-of-a-kind system.

Place, publisher, year, edition, pages
New York: ACM Press, 2018. p. 1-4
Keywords [en]
cognitive work analysis, conceptual designing, work domain analysis, unmanned aircraft traffic management
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-157104DOI: 10.1145/3232078.3232082Scopus ID: 2-s2.0-85055319921ISBN: 978-1-4503-6449-2 (electronic)OAI: oai:DiVA.org:liu-157104DiVA, id: diva2:1318684
Conference
36th European Conference on Cognitive Ergonomics (ECCE'18), Utrecht, Netherlands, September 5-7, 2018
Projects
UTM50Available from: 2019-05-28 Created: 2019-05-28 Last updated: 2022-02-08Bibliographically approved

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Lundberg, JonasWestin, Carl-FredrikArvola, MattiasHolmlid, Stefan

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Citation style
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