Publication Details
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Mohamed Khamis, Malin Eiband, Martin Zürn, Heinrich Hussmann
EyeSpot: Leveraging Gaze to Protect Private Text Content on Mobile Devices from Shoulder Surfing Journal of Multimodal Technologies and Interaction (bib) |
As mobile devices allow access to an increasing amount of private data, using them in public can potentially leak sensitive information through shoulder surfing. This includes personal private data (e.g., in chat conversations) and business-related content (e.g., in emails). Leaking the former might infringe on usersâ privacy, while leaking the latter is considered a breach of the EUâs General Data Protection Regulation as of May 2018. This creates a need for systems that protect sensitive data in public. We introduce EyeSpot, a technique that displays content through a spot that follows the userâs gaze while hiding the rest of the screen from an observerâs view through overlaid masks. We explore different configurations for EyeSpot in a user study in terms of usersâ reading speed, text comprehension, and perceived workload. While our system is a proof of concept, we identify crystallized masks as a promising design candidate for further evaluation with regard to the security of the system in a shoulder surfing scenario. |