Identifying reading disorders via eye-tracking technology

Ayaka Inoue, Samiullah Paracha

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

7 Citations (Scopus)

Abstract

The lack of strong reading comprehension skills affects a student's success in school. This paper aims to examine how fluent and non-fluent readers process text and images by utilizing eye movement methodology. Three types of diagnostic instruments were used to collect data (text-only, text and image and image-only). The experiments also involved personal observation, interviews and Q&A sessions to understand participants' comprehension level. Data analysis was done through Eye Tribe application.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Advanced Materials for Science and Engineering
Subtitle of host publicationInnovation, Science and Engineering, IEEE-ICAMSE 2016
EditorsTeen-Hang Meen, Stephen D. Prior, Artde Donald Kin-Tak Lam
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages607-610
Number of pages4
ISBN (Electronic)9781509038695
DOIs
Publication statusPublished - 2 Feb 2017
Externally publishedYes
Event2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016 - Tainan, Taiwan, Province of China
Duration: 12 Nov 201613 Nov 2016

Publication series

NameProceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016

Conference

Conference2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016
Country/TerritoryTaiwan, Province of China
CityTainan
Period12/11/1613/11/16

Keywords

  • Eye-tracking methodology
  • Learning Anyalytics
  • Literacy research
  • e-Learning

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