Quantifying reading habits - counting how many words you read

Kai Kunze, Katsutoshi Masai, Masahiko Inami, Omer Sacakli, Marcus Liwicki, Andreas Dengel, Shoya Ishimaru, Koichi Kise

研究成果: Conference contribution

30 被引用数 (Scopus)

抄録

Reading is a very common learning activity, a lot of people perform it everyday even while standing in the subway or waiting in the doctors office. However, we know little about our everyday reading habits, quantifying them enables us to get more insights about better language skills, more effective learning and ultimately critical thinking. This paper presents a first contribution towards establishing a reading log, tracking how much reading you are doing at what time. We present an approach capable of estimating the words read by a user, evaluate it in an user independent approach over 3 experiments with 24 users over 5 different devices (e-ink reader, smartphone, tablet, paper, computer screen).We achieve an error rate as low as 5% (using a medical electrooculography system) or 15% (based on eye movements captured by optical eye tracking) over a total of 30 hours of recording. Our method works for both an optical eye tracking and an Electrooculography system. We provide first indications that the method works also on soon commercially available smart glasses.

本文言語English
ホスト出版物のタイトルUbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版社Association for Computing Machinery, Inc
ページ87-96
ページ数10
ISBN(印刷版)9781450335744
DOI
出版ステータスPublished - 2015 9 7
イベント3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015 - Osaka, Japan
継続期間: 2015 9 72015 9 11

Other

Other3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
国/地域Japan
CityOsaka
Period15/9/715/9/11

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • ソフトウェア

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