Gaze Tracking Visual Enhancement for Interface Readability
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Solution Overview
Problem
Users often face difficulties in perceiving items on graphical user interfaces due to low contrast or small font sizes, which existing technologies address only through manual user interventions.
Innovation Solution
Implementing a method that uses gaze tracking to detect patterns indicative of perception difficulties, allowing for automatic visual enhancements of interface items by increasing font size, contrast, or other visual modifications displayed separately from the original item.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If users manually adjust text size and contrast settings, then visibility of interface items is improved, but user operation complexity increases and time is lost
Solution Approach 1:
The system automatically detects user gaze patterns and applies visual enhancements without requiring manual user intervention. The eye tracking system monitors gaze duration and patterns, automatically determining when text or interface items need enhancement, thereby eliminating the need for users to manually adjust settings while maintaining optimal visibility
Solution Approach 2:
The system continuously monitors user gaze behavior as feedback to dynamically adjust visual presentation. By tracking gaze duration, fixation patterns, and eye movements, the system receives real-time feedback about user perception difficulties and automatically modifies text size, contrast, or other visual parameters accordingly
2Extent of automation
If gaze tracking is implemented to detect perception difficulties, then automatic visual enhancement is achieved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that translates complex eye tracking data into simple visual enhancement decisions. The system uses gaze pattern analysis as an intermediary mechanism between raw eye movement data and visual modifications, simplifying the overall system architecture by creating a dedicated module that handles the complexity of interpreting gaze behavior and determining appropriate enhancements
Data Source
AI summary
Embodiments are disclosed that relate to selectively enhancing content displayed on a display device. For example, one disclosed embodiment provides a method comprising tracking a gaze location at which a gaze of a user intersects the graphical user interface, and upon detecting a gaze pattern that meets a defined gaze pattern condition indicative of difficulty in perceiving an item at the gaze location, displaying the item in at the gaze location a visually enhanced form via a user interface object displayed separately from the item at the gaze location.