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Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036

DOI: http://dx.doi.org/10.17759/exppsy

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Flight crew diagnostic using aviation simulator training data

Kuravsky L. S., Doctor in Technical Sciences, Dean of the Department of Information Technologies, Moscow State University of Psychology & Education, Moscow, Russia, l.s.kuravsky@gmail.com
Marmalyuk P.A., Ph.D. in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, Moscow, Russia, ykk.mail@gmail.com
Yuryev G.A., Ph.D. in Physics and Matematics, associate professor, Deputy Dean of the Department of Information Technologies, Moscow State University of Psychology & Education, Moscow, Russia, g.a.yuryev@gmail.com
Belyaeva O.B., Student, Computer Science Faculty, Moscow State University of Psychology and Education, olga95259@yandex.ru
Prokopieva O.Yu., Master student, Computer Science Faculty, Moscow State University of Psychology and Education, prokopyeva08@mail.ru
Abstract
This paper describes a new concept of flight crew assessment based on flight simulators training result. It is based on representation of pilot gaze movement with the aid of continuous-time Markov processes with discrete states. Considered are both the procedure of model parameters identification provided with goodness-of-fit tests in use and the classifier-building technique, which makes it possible to estimate degree of correspondence between the observed gaze motion distribution under study and reference distributions identified for different diagnosed groups. The final assessing criterion is formed on the basis of integrated diagnostic parameters, which are determined by the parameters of the identified models. The article provides a description of the experiment, illustrations, and results of studies aimed at assessing the reliability of the developed models and criteria, as well as conclusions about the applicability of the approach, its advantages and disadvantages.

Keywords: eye tracking, Markov model, multifactor Markov network, diagnostics, flight simulator, factor analysis

Column: Engineering Psychology

DOI: http://dx.doi.org/10.17759/exppsy.2016090310

For Reference

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