Japanese / English

Detail of Publication

Text Language English
Authors Kirill Ragozin, Yun Suen Pai, Olivier Augereau, Koichi Kise, Hochen Kerdels, Kai Kunze
Title Private Reader: Using Eye Tracking to Improve Reading Privacy in Public Spaces
Journal Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services
Number of Pages 6 pages
Month & Year October 2019
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 effort 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.
DOI 10.1145/3338286.3340129
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