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 |
- Entry for BibTeX
@InProceedings{Ragozin2019, author = {Kirill Ragozin and Yun Suen Pai and Olivier Augereau and Koichi Kise and Hochen Kerdels and Kai Kunze}, title = {Private Reader: Using Eye Tracking to Improve Reading Privacy in Public Spaces}, booktitle = {Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services}, year = 2019, month = oct, numpages = {6}, DOI = {10.1145/3338286.3340129} }