Estimation of English Proficiency by Eye Gaze and EEG Analysis in English Reading Using Self-Organizing Maps
Estimation of English Proficiency by Eye Gaze and EEG Analysis in English Reading Using Self-Organizing Maps
复制标题
使用自组织图进行英语阅读中的注视和脑电图分析来评估英语水平
DOI：
10.11184/his.23.4_397
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
外山 茂浩
中科院分区：
文献类型：
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作者：
八子 拓也;下田 明;八子 亮太;和田 政輝;土田 泰子;外山 茂浩
随着活动领域的全球化，提高工程师和研究人员的英语语言技能是一个持续的挑战。在这项研究中，我们提出了一种方法来估计英语语言能力，使用自组织地图与凝视和脑电图，而阅读英语。以26名不同TOEIC L & R考试成绩的被试为样本，对8名新被试进行效度检验。受试者在电脑屏幕上阅读英文文本一分钟，闭眼休息一分钟，同时记录他们的凝视和脑电图。在凝视信息方面，我们分析了英语阅读过程中的停顿、倒退、阅读速度、瞳孔直径和眨眼。对于脑电，我们将其划分为α波的频段，并对其进行频谱面积分析。以TOEIC L & R考试的听力和阅读成绩作为英语语言能力的主要强项和弱项，分析了自组织图上每个聚类的特征。它的结论是，它是可能的估计的优势和劣势，从自组织地图上分类的集群，并建议学习方法，以提高分数。
With the globalization of the field of activity, it is an ongoing challenge to improve the English language skills of engineers and researchers. In this study, we propose a method for estimating English language ability using self-organizing maps with the gaze and EEG while reading English. 26 participants with different TOEIC L&R Test scores were used as the samples, and the validity was tested with 8 new participants. The participants read English texts on a PC display for one minute and rested for one minute with the eyes closed, meanwhile their gaze and EEG were recorded. In terms of gaze information, we analyzed pauses, regressions, reading speed, pupil diameter, and blinks during English reading. For the EEG, we focused on the frequency bands classified as the α wave, analyzed them with the frequency spectrum area. The characteristics of each cluster on the self-organizing map were analyzed by focusing on the listening score and reading score of the TOEIC L&R Test as the major strengths and weaknesses in English language proficiency. It was concluded that it is possible to estimate the strengths and weaknesses from the clusters classified on the self-organizing map and to suggest learning methods to improve the scores.