Abstract
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.
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Li, B., Hu, B., Li, X., Rao, J., Wang, M., Cai, H. (2015). A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analysis. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_9
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DOI: https://doi.org/10.1007/978-3-319-15554-8_9
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