Private reader: Using eye tracking to improve reading privacy in public spaces

Kirill Ragozin, Yun Suen Pai, Olivier Augereau, Koichi Kise, Jochen Kerdels, Kai Kunze

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

Abstract

Reading in public spaces can often be tricky if we wish to keep the contents away from the prying eye. We propose Private Reader, an eye-tracking approach towards maintaining privacy while reading by rendering only the portion of text that is gazed by the reader. We conducted a user study by evaluating for both the reader and observer in terms of privacy, reading comfort, and reading speed for three reading modes; normal, underscored, and scrambled text. "Scrambled" performs best in terms of perceived efort and frustration for the shoulder surfer. Our contribution is threefold; we developed a system to preserve privacy by rendering only the text at gaze-point of the reader, we conducted a user study to evaluate user preferences and subjective task load, and we suggested several scenarios where Private Reader is useful in public spaces.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450368254
DOIs
Publication statusPublished - 2019 Oct 1
Event21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 - Taipei, Taiwan, Province of China
Duration: 2019 Oct 12019 Oct 4

Publication series

NameProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019

Conference

Conference21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
CountryTaiwan, Province of China
CityTaipei
Period19/10/119/10/4

Keywords

  • Display
  • Eye gaze
  • Eye tracking
  • Privacy
  • Public space
  • Reading
  • Shoulder surfng
  • Tablet
  • Text interactions

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Human-Computer Interaction
  • Software

Cite this

Ragozin, K., Pai, Y. S., Augereau, O., Kise, K., Kerdels, J., & Kunze, K. (2019). Private reader: Using eye tracking to improve reading privacy in public spaces. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 [a18] (Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3338286.3340129

Private reader : Using eye tracking to improve reading privacy in public spaces. / Ragozin, Kirill; Pai, Yun Suen; Augereau, Olivier; Kise, Koichi; Kerdels, Jochen; Kunze, Kai.

Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. Association for Computing Machinery, Inc, 2019. a18 (Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019).

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

Ragozin, K, Pai, YS, Augereau, O, Kise, K, Kerdels, J & Kunze, K 2019, Private reader: Using eye tracking to improve reading privacy in public spaces. in Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019., a18, Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019, Association for Computing Machinery, Inc, 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019, Taipei, Taiwan, Province of China, 19/10/1. https://doi.org/10.1145/3338286.3340129
Ragozin K, Pai YS, Augereau O, Kise K, Kerdels J, Kunze K. Private reader: Using eye tracking to improve reading privacy in public spaces. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. Association for Computing Machinery, Inc. 2019. a18. (Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019). https://doi.org/10.1145/3338286.3340129
Ragozin, Kirill ; Pai, Yun Suen ; Augereau, Olivier ; Kise, Koichi ; Kerdels, Jochen ; Kunze, Kai. / Private reader : Using eye tracking to improve reading privacy in public spaces. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. Association for Computing Machinery, Inc, 2019. (Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019).
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