Towards inferring language expertise using eye tracking

Kai Steven Kunze, Kazuyo Yoshimura, Hitoshi Kawaichi, Koichi Kise

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

22 Citations (Scopus)

Abstract

We present initial work towards recognizing reading activities. This paper describes our efforts detect the English skill level of a user and infer which words are difficult for them to understand. We present an initial study of 5 students and show our findings regarding the skill level assessment. We explain a method to spot difficult words. Eye tracking is a promising technology to examine and assess a user’s skill level.

Original languageEnglish
Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationChanging Perspectives
PublisherAssociation for Computing Machinery
Pages217-222
Number of pages6
Volume2013-April
ISBN (Electronic)9781450318990
DOIs
Publication statusPublished - 2013 Apr 27
Externally publishedYes
Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
Duration: 2013 Apr 272013 May 2

Other

Other31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
CountryFrance
CityParis
Period13/4/2713/5/2

Keywords

  • Eye movements
  • Language expertise
  • Mobile eye tracker

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Towards inferring language expertise using eye tracking'. Together they form a unique fingerprint.

  • Cite this

    Kunze, K. S., Yoshimura, K., Kawaichi, H., & Kise, K. (2013). Towards inferring language expertise using eye tracking. In CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems: Changing Perspectives (Vol. 2013-April, pp. 217-222). Association for Computing Machinery. https://doi.org/10.1145/2468356.2468396