ETRAN: extensible software for eye tracking data visualization and analysis

Marmalyuk P.A.; Yuryev G.A.; Zhegallo A.V.; Polyakov B.Yu.; Panfilova A.S.

doi:10.17759/exppsy.2016090110

Experimental Psychology (Russia) - №2 / 2022 | Перейти к описанию

Web of Science СС

Previous issue (2022. Vol. 15, no. 1)

Included in Web of Science СС (ESCI)

Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036

DOI: https://doi.org/10.17759/exppsy

License: CC BY-NC 4.0

Published since 2008

Published quarterly

Free of fees
Open Access Journal

RU In Russian

Experimental Psychology (Russia)
2016. Vol. 9, no. 1, 131–144
doi:10.17759/exppsy.2016090110
ISSN: 2072-7593 / 2311-7036 (online)

ETRAN: extensible software for eye tracking data visualization and analysis ⁶⁵³

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

Yuryev 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

Zhegallo A.V.
PhD in Psychology, Senior Researcher, Institute of Experimental Psychology, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-5307-0083
e-mail: zhegs@mail.ru

Polyakov B.Yu.
Graduate Student, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-6457-9520
e-mail: deslion@yandex.ru

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

PDF (RUS)
Online translation in english

This article is devoted to the description of a free, extensible and open source software system designed for eye tracking data analysis. Authors of this article examine not only the main methods and functions of the system core that address gaze data import, data analysis (filtering, smoothing, oculomotor events detection, estimation of events’ characteristics and others) and visualization, but also scheduled improvements of system’s functional features

Keywords: eye tracking, statistical software, oculomotor events detection, R programming language

Column: Instruments

DOI: https://doi.org/10.17759/exppsy.2016090110

For Reference

Marmalyuk P.A., Yuryev G.A., Zhegallo A.V., Polyakov B.Yu., Panfilova A.S. ETRAN: extensible software for eye tracking data visualization and analysis. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2016. Vol. 9, no. 1, pp. 131–144. doi:10.17759/exppsy.2016090110. (In Russ., аbstr. in Engl.)

Barabanshchikov V. A., Zhegallo A. V. Registratsiya i analiz napravlennosti vzora cheloveka [Registration and analysis of human eye orientation]. Moscow, Institute of Psychology RAN Publ., 2013.316 p. (In Russ.).
Dreiper N., Smit G. Prikladnoi regressionnyi analiz [Applied regression analysis] Moscow: Izdatel’skii dom «Vil’yams» Publ., 2007. 912 p. (In Russ.).
Eye Tracking Project [Electronic resource]. Public repository for the RFHproject №14-06-12012, 2016. URL: http://github.com/PMarmalyuk/EyeTrackingProject (accessed 04.03.2016).
Geoff Der, Brian S. Everitt. Essential Statistics Using SAS University Edition. S AS Institute Inc., 2015.246 р.
Hayes T.R., Petrov A. A., Sederberg Р. В. A novel method for analyzing sequential eye movements reveals strategic influence on Raven’s Advanced Progressive Matrices. Journal of Vision, 2011, vol. 11, no. 10, pp. 1-11. doi:10.1167/11.10.10
Khokhlova A. A. Issledovanie glazodvigatel’noi aktivnosti pri prokhozhdenii matrichnogo testa intellekta Rav- ena\Studyoiocu\omotoractivitydunngRaven’smatncestest].Molodyeuchenye-nasheinovoishkole.MaterialyX mezhvuzovskoinauch.no -prakticheskoi konferentsii [Proceedings оfthe Municipal Scientific and Practical Conference “Young Scientists -for our new school”]. Moscow: MGPPU Publ., 2011. P. 343-345 (In Russ.).
Marmalyuk P. A., Zvonkina О. M. Opomye pokazateli glazodvigatel’noi aktivnosti pri prokhozhdenii testa Ravena i avtomatizatsiya ikh rascheta dlya otsenki vyrazhennosti relevantnykh kognitivnykh stilei [Oculomotor activity indicators during Raven test and automation of their calculation to assess the severity of relevant cognitive styles]. Materialy Vserossiyskoy nauchnoy konferencii “Eksperimental’nyi metodv strukture psikhologicheskogo znaniya” [Proceedings of the All-Russian Scientific Conference “Experimental method in the structure of psychological knowledge” (Moscow, November 22-23,2012)]. Moscow, Institute of Psychology RAN Publ., 2012. P. 96-101 (In Russ.)
Marmalyuk P. A., Polyakov B. Yu. Analiz dannykh videookulografli s primeneniem matrits predstavleniya preemnika i derev’ev reshenii [Videooculography data analysis with aid of successor representation matrices and decision trees]. [Electronic resourse]. Molodye uchenye - stolichnomu obrazovaniyu. Materialy XTVgoro- dskoi nauchno-prakticheskoi konferentsii. [Proceedings of the Municipal Scientific and Practical Conference “Young Scientists -forthe Capital’s Education System”]. Moscow: MGPPU Publ., 2015. CD-ROM (In Russ.).
Marmalyuk P. A., Polyakov B. Yu. Vyyavlenie informativnykh kharakteristik glazodvigatel’noi aktivnosti s primeneniem metoda glavnykh komponent i obuchaemykh modelei [Revealing informative characteristics of oculomotor activity using principle components analysis and trained models], Materialy Vserossiiskoi nauchnoi konferentsii “Aitrekingvpsikhologicheskoi nauke ipraktike” [Proceedings of the All-Russian Scientific Conference “Eyetracking in psychological science and practice” (Moscow, October 16-17,2015)]. Moscow, Institute of Psychology RAN Publ., 2015 (In press) (In Russ.).
Marmalyuk P. A., Zhegallo A.V., Yur’ev G.A., Panfilova A. S. Printsipy postroeniya programmnogo obe- specheniya s otkrytym iskhodnym kodom dlya analiza rezul’tatov okulograficheskikh issledovanii [Architecture principles of open-source software for oculography data analysis], Eksperimental’naya psikhologiya [Experimental psychology (Russia)], 2015, vol. 8, no. 1, pp. 127-144 (In Russ.; abstr. in Engl.).
Nystrom М., Holmqvist K. An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data. Behavior Research Methods, 2010, vol. 42, no. 1, pp. 188-204. doi: 10.3758/BRM.42.1.188.
Olsen A. Tobii I-VT Fixation Filter [Electronic resource]: Algorithm Description, 2012. URL: http:// www.tobii.com/en/eye-tracking-research/global/library/white-papers/the-tobii-i-vt-fixation-filter (дата обрашения 02.10.2015).
RStudio Inc. [Electronic resource]. Shiny by RStudio. A web application framework for R, 2014. URL: http://shiny.rstudio.com/ (accessed 24.09.2015).
Salvucci D. D., Goldberg J. H. Identifying fixations and saccades in eye-tracking protocols. Proceedings of the 2000 Symposium on Eye Tracking Research and Applications (November 6-8, Palm Beach Gardens, Florida, USA). ACM Press, 2000, vol. 1, pp. 71-78. doi: 10.3758/sl3428-010-0031-2
Savitzky A., Golay M. J. E. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry, 1964, vol. 36, no. 8, pp. 1627-39. doi: 10.1021/ac60214a047
SciDAVis [Electronic resource]. What is SciDAVis? 2015. URL: http://scidavis.sourceforge.net/index. html (accessed 05.03.2016).
Yur’ev G.A., Panfilova A. S., Marmalyuk P. A. Arkhitektura programmnogo obespecheniya dlya analiza rezul’tatov okulograficheskikh issledovanii [Architecture of software for analysis of oculography studies results]. Programmnaya inzheneriya [Software Engineering (Russia)], 2015, no 1, pp. 24-33. doi: https:// dx.doi.org/10.17587 (In Russ.; abstr. in Engl.).
Zhegallo A. V., Marmalyuk P. A. ETRAN - R Extension Package for Eye Tracking Results Analysis. Perception, 2015, vol. 44, no. 8-9, pp. 1129-1135. doi:10.1177/0301006615594944