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Efficiency analysis of verbal radio communication in air combat simulation
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Effektivitetsanalys av verbal radiokommunikation i luftstridssimulering (Swedish)
Abstract [en]

Efficient communication is an essential part of cooperative work, and no less so in the case of radio communication during air combat. With time being a limited resource and the consequences of a misunderstanding potentially fatal there is little room for negligence. This work is an exploratory study which combines data mining, machine learning, natural language processing and visual analytics in an effort to investigate the possibilities of using radio traffic data from air combat simulations for human performance evaluation. Both temporal and linguistic properties of the communication were analyzed, with several promising graphical results. Additionally, utterance classification was successfully attempted with mean precision and recall both over 0.9. It is hoped that more complex and to a larger extent automated data based communication analysis can be built upon the results presented in this report.

Abstract [sv]

Effektiv kommunikation är en grundläggande del av god samarbetsförmåga, inte minst när det gäller radiokommunikation under luftstrid. När tid är en begränsad resurs och ett missförstånd kan få fatala följder finns inte mycket utrymme för slarv. Det här arbetet är en utforskande studie som kombinerar data mining, maskininlärning, natural language processing och visuell dataanalys i syfte att undersöka hur radiotrafikdata från luftstridssimulering skulle kunna användas för prestationsutvärdering. Såväl tidsrelaterade som språkliga egenskaper hos kommunikationen har analyserats och flera av visualiseringarna ser lovande ut. Vidare prövades med framgång att klassificera yttranden, med genomsnittlig precision och täckning över 0.9. Förhoppningen är att de resultat som presenteras i rapporten ska kunna användas som grund för vidareutveckling av mer djupgående och i större utsträckning automatiserad databaserad kommunikationsanalys.

Place, publisher, year, edition, pages
2016.
Keyword [en]
communication efficiency, air combat simulation, feature engineering, machine learning, natural language processing
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-189280OAI: oai:DiVA.org:kth-189280DiVA: diva2:945087
External cooperation
Swedish Defence Research Agency (FOI)
Educational program
Master of Science in Engineering -Engineering Physics
Supervisors
Examiners
Available from: 2016-06-30 Created: 2016-06-30 Last updated: 2016-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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