Babanova Ksenia, Revazov Arsen, Chernozatonskiy Konstantin, Pikunov Andrey, Anisimov Victor
Oken Technologies, Inc., USA.
Lomonosov MSU, Faculty of Biology, Russia.
J Eye Mov Res. 2023 Mar 20;16(2). doi: 10.16910/jemr.16.2.1. eCollection 2023.
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.
对评估读者阅读理解能力的兴趣日益浓厚，促使人们寻找能够实时（或准实时）进行此类评估的新方法。这可用于更有效的教育过程，并将文本内容用于各种目的。本研究使用面向大众市场设备的奥肯阅读器眼动追踪应用程序（60赫兹）来评估阅读理解过程。23名年龄在19岁至31岁之间（平均年龄 = 24.5岁，标准误 = 1.4，65%为女性）的受访者参与了该研究。均值、μ和σ参数因文本理解水平的不同而存在显著差异。这一结果表明，使用配备眼动追踪技术的大众市场设备来评估阅读中的理解能力是有可能的。此外，该研究结果证实了探寻诸如眼动等生理指标与理解能力之间相关性的可能性。
