Article | Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017 | Towards Effective Automatic Feedback for Simulator Training
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Title:
Towards Effective Automatic Feedback for Simulator Training
Author:
Laura Marcano: Department of Electronic Engineering, Oslo and Akershus University College of Applied Sciences (HiOA), Norway Anis Yazidi: Department of Computer Science, Oslo and Akershus University College of Applied Sciences (HiOA), Norway Mexhid Ferati: Department of Computer Science, Oslo and Akershus University College of Applied Sciences (HiOA), Norway Tiina Komulainen: Department of Electronic Engineering, Oslo and Akershus University College of Applied Sciences (HiOA), Norway
DOI:
10.3384/ecp17138203
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017
Issue:
138
Article no.:
028
Pages:
203-208
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-09-27
ISBN:
978-91-7685-417-4
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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 systemwhich consists of three stages: data collection, data analysis and delivering feedback.

Keywords: simulator training, anomaly detection, automatic feedback, intelligent tutoring system

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Laura Marcano, Anis Yazidi, Mexhid Ferati, Tiina Komulainen
Title:
Towards Effective Automatic Feedback for Simulator Training
DOI:
http://dx.doi.org/10.3384/ecp17138203
References:
No references available

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Laura Marcano, Anis Yazidi, Mexhid Ferati, Tiina Komulainen
Title:
Towards Effective Automatic Feedback for Simulator Training
DOI:
http://dx.doi.org/10.3384/ecp17138203
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Citations:
No citations available at the moment


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Last updated: 2017-02-21