An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension

The growing interest in evaluating the reader's comprehension leads to the search for new methods that allow such estimation in real-time (or pseudo-real-time). This can be used for more effective educational processes and to adopt textual content for various purposes. The present study used t...

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Main Authors: Ksenia Babanova, Arsen Revazov, Konstantin Chernozatonskiy, Andrey Pikunov, Victor Anisimov
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/8820
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author Ksenia Babanova
Arsen Revazov
Konstantin Chernozatonskiy
Andrey Pikunov
Victor Anisimov
author_facet Ksenia Babanova
Arsen Revazov
Konstantin Chernozatonskiy
Andrey Pikunov
Victor Anisimov
author_sort Ksenia Babanova
collection DOAJ
description The growing interest in evaluating the reader's comprehension leads to the search for new methods that allow such estimation in real-time (or pseudo-real-time). This can be used for more effective educational processes and to adopt textual content for various purposes. The present study used the Oken Reader eye-tracking application (60 Hz) for mass-market devices to assess reading comprehension processes. Twenty-three (23) respondents aged between 19 and 31 (mean = 24. 5, SE = 1. 4, 65% female) participated in the study. The mean, mu, and sigma parameters differed significantly depending on the level of text comprehension. This result indicates the possibility of using mass-market devices with eye-tracking technology to assess comprehension in reading. Furthermore, the study's results confirm the possibility of searching the correlations between physiological indicators such as eye movements and comprehension.
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series Journal of Eye Movement Research
spelling doaj-art-7e50264c755f4c4d9aed30a22f1a49cb2025-08-20T02:08:57ZengMDPI AGJournal of Eye Movement Research1995-86922023-03-0116210.16910/jemr.16.2.1An application of eye movement parameters collected from mass market devices for the estimation of a text comprehensionKsenia Babanova0Arsen Revazov1Konstantin Chernozatonskiy2Andrey Pikunov3Victor Anisimov4Lomonosov Moscow State University, Russia, Faculty of BiologyOken Tech Inc.Oken Tech Inc.Oken Tech Inc.Lomonosov Moscow State University, Russia, Faculty of Biology The growing interest in evaluating the reader's comprehension leads to the search for new methods that allow such estimation in real-time (or pseudo-real-time). This can be used for more effective educational processes and to adopt textual content for various purposes. The present study used the Oken Reader eye-tracking application (60 Hz) for mass-market devices to assess reading comprehension processes. Twenty-three (23) respondents aged between 19 and 31 (mean = 24. 5, SE = 1. 4, 65% female) participated in the study. The mean, mu, and sigma parameters differed significantly depending on the level of text comprehension. This result indicates the possibility of using mass-market devices with eye-tracking technology to assess comprehension in reading. Furthermore, the study's results confirm the possibility of searching the correlations between physiological indicators such as eye movements and comprehension. https://bop.unibe.ch/JEMR/article/view/8820Eye movementeye trackinggaze fixationsreadingcomprehensiongaze detection algorithms
spellingShingle Ksenia Babanova
Arsen Revazov
Konstantin Chernozatonskiy
Andrey Pikunov
Victor Anisimov
An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
Journal of Eye Movement Research
Eye movement
eye tracking
gaze fixations
reading
comprehension
gaze detection algorithms
title An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
title_full An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
title_fullStr An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
title_full_unstemmed An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
title_short An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
title_sort application of eye movement parameters collected from mass market devices for the estimation of a text comprehension
topic Eye movement
eye tracking
gaze fixations
reading
comprehension
gaze detection algorithms
url https://bop.unibe.ch/JEMR/article/view/8820
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