Eye Tracking Display Obscuring for Privacy Protection
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Solution Overview
Problem
Computing devices often lack effective protection for sensitive data in environments with little privacy, leading to unintentional exposure to unauthorized individuals when users are distracted or not focused on the screen.
Innovation Solution
A data obscuring system that uses eye tracking and facial recognition to determine when a user's attention is diverted from the screen, automatically obscuring sensitive information by adjusting the display settings to prevent unauthorized viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If display settings are adjusted to obscure data, then data security is improved, but user accessibility to information deteriorates
Solution Approach 1:
The display obscuring system dynamically adjusts between obscured and unobscured states based on real-time detection of user attention. When the system detects that the user is paying attention to the display, it maintains normal visibility. When attention is diverted, it automatically applies obscuring. This dynamic switching resolves the contradiction by making the display state adaptive rather than fixed, ensuring security only when needed while maintaining accessibility when the user is engaged.
2Reliability
If automatic obscuring system is implemented, then privacy protection is improved, but device complexity increases
Solution Approach 1:
The system employs eye-tracking technology and machine learning algorithms that automatically detect user attention states without requiring manual input or configuration. The obscuring function activates and deactivates autonomously based on detected attention patterns, eliminating the need for user intervention. This self-service approach resolves the contradiction by automating the privacy protection mechanism, reducing the operational complexity burden on the user while maintaining sophisticated privacy safeguards.
3Reliability
If display obscuring is applied continuously, then data security is improved, but user convenience deteriorates
Solution Approach 1:
Instead of continuous obscuring, the system periodically assesses user attention states and adjusts display visibility accordingly. Eye-tracking detection continuously monitors whether the user is looking at the screen, and the obscuring state is toggled based on these periodic assessments. This periodic action approach resolves the contradiction by applying security measures only during periods when attention is diverted, rather than maintaining constant obscuring that would impair usability.
Data Source
AI summary
Methods, systems, and computer program products are disclosed for automatically adjusting a display to obscure application data. In an example, a computer-implemented method may include collecting eye data from a user, receiving the eye data collected from the user, analyzing the eye data, determining that eyesight of the user is on a display based on the eye data, providing data on the display to the user when the eyesight of the user is determined to be on the display, determining that the eyesight of the user is off the display, obscuring the data on the display in response to determining that the eyesight of the user is off the display, removing the obscuring applied to the data on the display when the eyesight of the user returns to the display.