Private Reader
| Autor: | Yun Suen Pai, Koichi Kise, Olivier Augereau, Kirill Ragozin, Jochen Kerdels, Kai Kunze |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
Computer science business.industry 05 social sciences Internet privacy ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Gaze Rendering (computer graphics) Public space Shoulder surfing 0202 electrical engineering electronic engineering information engineering Eye tracking 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences business |
| Zdroj: | MobileHCI |
| DOI: | 10.1145/3338286.3340129 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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