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Principles of construction of open-source software for oculography data analysis 1778
Marmalyuk P.A.
PhD in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, Moscow, Russia
e-mail: ykk.mail@gmail.com Zhegallo A.V.
PhD in Psychology, Senior Researcher, Institute of Psychology, Russian Academy of Sciences, and Moscow State University of Pedagogy and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-5307-0083
e-mail: zhegs@mail.ru Yuriev G.A.
PhD in Physics and Matematics, Associate Professor, Head of Scientifi c Laboratory, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-2960-6562
e-mail: g.a.yuryev@gmail.com Panfilova A.S.
PhD in Engineering, Researcher, Institute of Psychology, Russian Academy of Sciences, Moscow, Russia
ORCID: https://orcid.org/0000-0003-1892-5901
e-mail: panfilova87@gmail.com
An overview of existing proprietary and open source software for oculography data analysis is presented which briefly discuss the advantages and disadvantages of existing solutions. The urgency of developing a new system which is free of specified drawbacks is discussed. A concept and design of an open source software system for analysis of oculography data obtained using videooculography hardware systems are proposed. Specific features of the system being developed are outlined, in particular, an open source code, a principle of modularity (expandability) and a principle of object-orientation.
Keywords: eye movements, software, eye tracking, R programming language, psychological experiment’s data analysis
Column: Instruments
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