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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
Source PublicationBEHAVIOR RESEARCH METHODS
ISSN1554-351X
SubtypeArticle
Volume49Issue:3Pages:887-895
Abstract

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.

KeywordEye movements Literacy skills Support vector machines
DOI10.3758/s13428-016-0748-7
Indexed BySSCI
Language英语
Funding OrganizationNatural Science Foundation of China(31571125)
WOS Research AreaPsychology
WOS SubjectPsychology, Mathematical ; Psychology, Experimental
WOS IDWOS:000404245700006
WOS HeadingsSocial Sciences
WOS KeywordE-Z READER ; INDIVIDUAL-DIFFERENCES ; PERCEPTUAL SPAN ; FEATURE-SELECTION ; READING SPEED ; PATTERNS ; MODEL ; COMPREHENSION ; FREQUENCY ; FIXATION
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/21589
Collection中国科学院行为科学重点实验室
Affiliation1.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
Recommended Citation
GB/T 7714
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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