I know what you are reading - recognition of document types using mobile eye tracking

Kai Kunze, Yuzuko Utsumi, Yuki Shiga, Koichi Kise, Andreas Bulling

研究成果: Conference contribution

50 被引用数 (Scopus)

抄録

Reading is a ubiquitous activity that many people even perform in transit, such as while on the bus or while walking. Tracking reading enables us to gain more insights about expertise level and potential knowledge of users - towards a reading log tracking and improve knowledge acquisition. As a first step towards this vision, in this work we investigate whether different document types can be automatically detected from visual behaviour recorded using a mobile eye tracker. We present an initial recognition approach that combines special purpose eye movement features as well as machine learning for document type detection. We evaluate our approach in a user study with eight participants and five Japanese document types and achieve a recognition performance of 74% using user-independent training.

本文言語English
ホスト出版物のタイトルISWC 2013 - Proceedings of the 2013 ACM International Symposium on Wearable Computers
ページ113-116
ページ数4
DOI
出版ステータスPublished - 2013 10 15
外部発表はい
イベント2013 17th ACM International Symposium on Wearable Computers, ISWC 2013 - Zurich, Switzerland
継続期間: 2013 9 92013 9 12

出版物シリーズ

名前ISWC 2013 - Proceedings of the 2013 ACM International Symposium on Wearable Computers

Other

Other2013 17th ACM International Symposium on Wearable Computers, ISWC 2013
国/地域Switzerland
CityZurich
Period13/9/913/9/12

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • ソフトウェア

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