@inproceedings{96998fed86574713a654a10f6e160d14,
title = "Private reader: Using eye tracking to improve reading privacy in public spaces",
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.",
keywords = "Display, Eye gaze, Eye tracking, Privacy, Public space, Reading, Shoulder surfng, Tablet, Text interactions",
author = "Kirill Ragozin and Pai, {Yun Suen} and Olivier Augereau and Koichi Kise and Jochen Kerdels and Kai Kunze",
year = "2019",
month = oct,
day = "1",
doi = "10.1145/3338286.3340129",
language = "English",
series = "Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019",
note = "21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 ; Conference date: 01-10-2019 Through 04-10-2019",
}