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Using support vector machines to identify literacy skills: Evidence from eye movements
Lou, Ya1,2; Liu, Yanping1; Kaakinen, Johanna K.3; Li, Xingshan1
2017-06-01
发表期刊BEHAVIOR RESEARCH METHODS
ISSN1554-351X
文章类型Article
卷号49期号:3页码:887-895
摘要

Is inferring readers' literacy skills possible by analyzing their eye movements during text reading? This study used Support Vector Machines (SVM) to analyze eye movement data from 61 undergraduate students who read a multiple-paragraph, multiple-topic expository text. Forward fixation time, first-pass rereading time, second-pass fixation time, and regression path reading time on different regions of the text were provided as features. The SVM classification algorithm assisted in distinguishing high-literacy-skilled readers from low-literacy-skilled readers with 80.3 % accuracy. Results demonstrate the effectiveness of combining eye tracking and machine learning techniques to detect readers with low literacy skills, and suggest that such approaches can be potentially used in predicting other cognitive abilities.

关键词Eye movements Literacy skills Support vector machines
DOI10.3758/s13428-016-0748-7
收录类别SSCI
语种英语
项目资助者Natural Science Foundation of China(31571125)
WOS研究方向Psychology
WOS类目Psychology, Mathematical ; Psychology, Experimental
WOS记录号WOS:000404245700006
WOS标题词Social Sciences
关键词[WOS]E-Z READER ; INDIVIDUAL-DIFFERENCES ; PERCEPTUAL SPAN ; FEATURE-SELECTION ; READING SPEED ; PATTERNS ; MODEL ; COMPREHENSION ; FREQUENCY ; FIXATION
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/21589
专题中国科学院行为科学重点实验室
作者单位1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, 16 Lincui Rd, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Univ Turku, Dept Psychol, Turku, Finland
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Lou, Ya,Liu, Yanping,Kaakinen, Johanna K.,et al. Using support vector machines to identify literacy skills: Evidence from eye movements[J]. BEHAVIOR RESEARCH METHODS,2017,49(3):887-895.
APA Lou, Ya,Liu, Yanping,Kaakinen, Johanna K.,&Li, Xingshan.(2017).Using support vector machines to identify literacy skills: Evidence from eye movements.BEHAVIOR RESEARCH METHODS,49(3),887-895.
MLA Lou, Ya,et al."Using support vector machines to identify literacy skills: Evidence from eye movements".BEHAVIOR RESEARCH METHODS 49.3(2017):887-895.
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