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A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analysis

机译:基于眼动态数据分析的心理困境学生注意力分配研究

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Psychological distress affects college students' academic performance, and attention allocation plays an important role in learning process. In this paper, an experiment which combined smooth pursuit eye movement and alphabets recognition tasks was introduced, with the aim of discovering differences in attention allocation between psychological distress students and normal students. Three kinds of data were collected: the recording of alphabets recognition answers, the eye movement data, and the results of psychological test scale K10. We did statistical analysis on right answers, and the results of Analysis of Variance (ANOVA) showed the differences between psychological distress students and normal students were not statistically significant, however, accuracy changing with different velocities implied some differences. Then we adopted classification algorithms, and found the two groups could be distinguished using eye movement features related to attention allocation, with the highest accuracy of 76%. This also indicated attention allocation was different between the two groups.
机译:心理困扰影响大学生的学业成绩,关注分配在学习过程中发挥着重要作用。在本文中,介绍了合并光滑的追踪眼球运动和字母识别任务的实验,目的是发现心理困扰学生和普通学生之间的关注分配差异。收集了三种数据:记录字母识别答案,眼球运动数据和心理测试规模K10的结果。我们对正确答案进行了统计分析,方差分析(ANOVA)的结果表明,心理困扰学生和普通学生之间的差异在统计上没有统计学意义,但是用不同速度的准确性改变了一些差异。然后我们采用分类算法,发现两组可以使用与关注分配相关的眼球运动特征来区分,最高精度为76%。这也表明了两组之间的注意力不同。

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