Towards extraction of subjective reading incomprehension: Analysis of eye gaze features

Ayano Okoso, Takumi Toyama, Kai Steven Kunze, Joachim Folz, Marcus Liwicki, Koichi Kise

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

One way to optimize learning processes is to clearly inform the learner about problematic areas. Recent work on gaze-based CHI showed that a reader's language skill can be inferred by gaze analysis. However, only few approaches have been proposed to identify those document parts a reader finds problematic. Our goal is to develop a computational method for reading incomprehension extraction. As initial work, we analyze which eye gaze features are useful for such part-based reading incomprehension extraction at three levels of document structure: paragraphs, segments and words. Copyright is held by the author/owner(s).

本文言語English
ホスト出版物のタイトルCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings
出版社Association for Computing Machinery
ページ1325-1330
ページ数6
18
ISBN(電子版)9781450331463
DOI
出版ステータスPublished - 2015 4 18
イベント33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, Korea, Republic of
継続期間: 2015 4 182015 4 23

Other

Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
CountryKorea, Republic of
CitySeoul
Period15/4/1815/4/23

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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