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Author:

Li, Bing (Li, Bing.) | Hu, Bin (Hu, Bin.) | Li, Xiaowei (Li, Xiaowei.) | Rao, Juan (Rao, Juan.) | Wang, Manman (Wang, Manman.) | Cai, Hanshu (Cai, Hanshu.)

Indexed by:

CPCI-S EI Scopus

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.

Keyword:

Psychological distress Eye movement Classification Attention allocation Smooth pursuit

Author Community:

  • [ 1 ] [Hu, Bin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Li, Bing]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
  • [ 3 ] [Li, Xiaowei]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
  • [ 4 ] [Rao, Juan]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
  • [ 5 ] [Wang, Manman]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
  • [ 6 ] [Cai, Hanshu]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China

Reprint Author's Address:

  • [Hu, Bin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

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Source :

HUMAN CENTERED COMPUTING, HCC 2014

ISSN: 0302-9743

Year: 2015

Volume: 8944

Page: 104-114

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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