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Situation Awareness Measurement Techniques for Gaming Simulations: An Overview and Application for Railway Traffic Controllers
Delft Univ Technol, Fac Techol Policy & Management, Delft, Netherlands..
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.ORCID iD: 0000-0003-1126-3781
2013 (English)In: 2013 IEEE INTERNATIONAL MULTI-DISCIPLINARY CONFERENCE ON COGNITIVE METHODS IN SITUATION AWARENESS AND DECISION SUPPORT (COGSIMA), IEEE , 2013, p. 238-245Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides an extended gaming simulation framework and methods overview for the selection and development of situation awareness (SA) measurement techniques in gaming simulations. Gaming simulations are here defined as a simulation of a system through the use of gaming methods. Unlike SA measurements in human-in-the-loop simulators like cockpits, measurements for situation awareness in multi-actor gaming simulation environments are little investigated as a methodological approach. The aim of the framework is to bridge the gap between the theoretical implications of gaming simulations design elements and SA measurement techniques. Secondly, to provide key elements in game design and evaluation for the development of situation awareness measurement techniques. The framework is applied to determine a set of situation awareness measurement techniques for Dutch railway traffic controllers, in which the Dutch railway sector is increasingly using gaming simulation methods to investigate influences of new innovations for the railway system before innovations are put into the operations. Different sets of situation awareness measurement techniques for individuals and team/groups in railway traffic control are selected.

Place, publisher, year, edition, pages
IEEE , 2013. p. 238-245
Keywords [en]
Gaming Simulations, Measurement Techniques, Railways, Situation Awareness, Train Traffic Control
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-245269DOI: 10.1109/CogSIMA.2013.6523853ISI: 000325568600038Scopus ID: 2-s2.0-84879778911ISBN: 978-1-4673-2437-3 (print)OAI: oai:DiVA.org:kth-245269DiVA, id: diva2:1296789
Conference
2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013
Note

QC 20190318

Available from: 2019-03-18 Created: 2019-03-18 Last updated: 2019-10-25Bibliographically approved

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Meijer, Sebastiaan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • Other locale
More languages
Output format
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