Quantifying reading habits - counting how many words you read

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

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

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages87-96
Number of pages10
ISBN (Print)9781450335744
DOIs
Publication statusPublished - 2015 Sep 7
Externally publishedYes
Event3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015 - Osaka, Japan
Duration: 2015 Sep 72015 Sep 11

Other

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

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Keywords

  • Electrooculography
  • Eye Movement Analysis
  • Mobile Eye tracking
  • Quantifying Reading
  • Reading Behavior

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Kunze, K. S., Masai, K., Inami, M., Sacakli, O., Liwicki, M., Dengel, A., Ishimaru, S., & Kise, K. (2015). Quantifying reading habits - counting how many words you read. In UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 87-96). Association for Computing Machinery, Inc. https://doi.org/10.1145/2750858.2804278