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 language | English |
|---|---|
| Title of host publication | Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450368254 |
| DOIs | |
| Publication status | Published - 2019 Oct 1 |
| Event | 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 - Taipei, Taiwan, Province of China Duration: 2019 Oct 1 → 2019 Oct 4 |
Publication series
| Name | Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 |
|---|
Conference
| Conference | 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 19/10/1 → 19/10/4 |
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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Private reader
T2 - Using eye tracking to improve reading privacy in public spaces
AU - Ragozin, Kirill
AU - Pai, Yun Suen
AU - Augereau, Olivier
AU - Kise, Koichi
AU - Kerdels, Jochen
AU - Kunze, Kai
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - Display
KW - Eye gaze
KW - Eye tracking
KW - Privacy
KW - Public space
KW - Reading
KW - Shoulder surfng
KW - Tablet
KW - Text interactions
UR - http://www.scopus.com/inward/record.url?scp=85073566072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073566072&partnerID=8YFLogxK
U2 - 10.1145/3338286.3340129
DO - 10.1145/3338286.3340129
M3 - Conference contribution
AN - SCOPUS:85073566072
T3 - Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
BT - Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
PB - Association for Computing Machinery, Inc
ER -