Region-wise page difficulty analysis using eye movements

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we investigated which section of a page was difficult for students to read, based on eye movement data and subjective impressions of the page's difficulty, with the aim of helping teachers revise teaching materials. It is problematic to manually model relationships between eye movements and subjective impressions of the page's difficulty. Therefore, in this study, we used a neural network to model the relationships automatically. Our method generated relevance maps representing locations where students found difficulty, in order to visualize region-wise page difficulty. To evaluate the quality of the relevance maps, we compared them with a distribution of gaze points and highlights added by the students. In addition, we administered a questionnaire to evaluate whether the relevance maps were useful to teachers when revising teaching materials. Results imply that our method can provide useful information for teachers making revisions to teaching materials.

Original languageEnglish
Title of host publication16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
PublisherIADIS Press
Pages109-116
Number of pages8
ISBN (Electronic)9789898533937
Publication statusPublished - Jan 1 2019
Event16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019 - Cagliari, Italy
Duration: Nov 7 2019Nov 9 2019

Publication series

Name16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019

Conference

Conference16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
CountryItaly
CityCagliari
Period11/7/1911/9/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Education

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  • Cite this

    Minematsu, T. (2019). Region-wise page difficulty analysis using eye movements. In 16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019 (pp. 109-116). (16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019). IADIS Press.