A hierarchy of finite state machines as a scenario player in interactive training of pilots in flight simulators

• Autorzy: Bach Małgorzata , Werner Aleksandra , Mrozik Magda , Cyran Krzysztof A.

Identyfikatory

DOI

10.34768/amcs-2021-0049

• Języki publikacji: EN

Abstrakty

EN

The paper presents the concept of a control unit, i.e., a scenario player, for interactive training pilots in flight simulators. This scenario player is modelled as a hierarchy of finite state machines. Such an approach makes it possible to separate the details of an augmented reality display device which is used in training, from the core module of the system, responsible for contextual organization of the content. Therefore, the first contribution of this paper is the mathematical model of the scenario player as a universal formulation of the self-trained control unit for interactive learning systems, which is applicable in a variety of situations not limited solely to flight simulator related procedures. The second contribution is an experimental verification achieved by extensive simulations of the model, which proves that the proposed approach is capable to properly self-organize details of the context information by tracing preferences of the end users. For that latter purpose, the original algorithm is derived from statistical analysis, including Bayesian inference. The whole approach is illustrated by a real application of training the preflight procedure for the captain of the Boeing 737 aircraft in a flight simulator.

Słowa kluczowe

EN

Bayesian inference; deterministic Moore machine; flight simulator; finite state machine; scenario player

PL

wnioskowanie Bayesa; automat Moore'a; symulator lotu; automat skończony

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2021
• Tom: Vol. 31, no. 4
• Strony: 713--727
• Opis fizyczny: Bibliogr. 55 poz., rys., tab., wykr.

Twórcy

autor

Bach Małgorzata

• Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

autor

Werner Aleksandra

• Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

autor

Mrozik Magda

• Department of Air Transport, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland

autor

Cyran Krzysztof A.

• Department of Graphics, Computer Vision and Digital Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).