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Towards Effective Automatic Feedback for Simulator Training
Oslo and Akershus University College of Applied Sciences (HiOA), Norway.
Oslo and Akershus University College of Applied Sciences (HiOA), Norway.
Oslo and Akershus University College of Applied Sciences (HiOA), Norway.ORCID iD: 0000-0001-8635-4069
Oslo and Akershus University College of Applied Sciences (HiOA), Norway.
2017 (English)In: Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58)Reykjavik, Iceland, September 25th – 27th, 2017, Linköping University Electronic Press, 2017, p. 203-208, article id 028Conference paper, Published paper (Refereed)
Abstract [en]

The presence of an expert instructor during simulator training is of great importance for the trainees, if not indispensable. The instructor’s role is to give feedback and guide the trainees to help them make the right decisions on time as effectively as possible. The instructor starts or pauses the training scenarios when needed and facilitates reflection during and after the scenarios. However, the fact that simulator-training sessions are very dependent on the participation of a guiding instructor can be a drawback, since there are not always sufficient expert instructors to fulfil the training demands. In this work, an intelligent tutoring system (ITS) is proposed as an automatic feedback solution for simulator training. It is based on effective assessment of the system conditions using a clustering based anomaly detection technique as a core component. Furthermore, we provide insights into the design of a proper interface for our ITS. The article presents the methodology for developing such a system which consists of three stages: data collection, data analysis and delivering feedback.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2017. p. 203-208, article id 028
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 138
Keywords [en]
simulator training, anomaly detection, automatic feedback, intelligent tutoring system
National Category
Information Systems, Social aspects
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-78062DOI: 10.3384/ecp17138203ISBN: 978-91-7685-417-4 (print)OAI: oai:DiVA.org:lnu-78062DiVA, id: diva2:1251718
Conference
The 58th Conference on Simulation and Modelling (SIMS 58)Reykjavik, Iceland, September 25th – 27th, 2017
Available from: 2018-09-27 Created: 2018-09-27 Last updated: 2018-10-04Bibliographically approved

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Ferati, Mexhid

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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