Eye Tracking Augmented Reality View Clutter Reduction
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Solution Overview
Problem
Current augmented reality viewing devices clutter the user's view with too many indicators of items, making it difficult to identify items of interest due to lack of personalization based on the user's gaze and location.
Innovation Solution
The system uses eye tracking to determine the user's interest in specific items by analyzing gaze patterns and location data, selectively presenting visual indicators of items of interest on the display while avoiding clutter, allowing the user to focus on relevant information without obscuring the view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If visual indicators of all items in surroundings are displayed in augmented reality view, then completeness of information is improved, but visual clarity deteriorates due to clutter
Solution Approach 1:
The patent applies local quality by making the display characteristics dynamic and location-dependent. Visual indicators are selectively rendered based on the user's gaze position, with different parts of the display showing different levels of information density. The eye-tracking system determines which regions require information display versus which regions should maintain visual clarity, creating localized zones of information presentation rather than uniform display across the entire field of view.
Solution Approach 2:
The system dynamically adjusts the augmented reality display in real-time based on user eye movements. The set of visual indicators changes continuously as the user looks at different areas, with indicators being added or removed from the display based on current gaze position. This dynamic adaptation allows the system to maintain information completeness while preventing visual clutter at any given moment, as the display configuration is constantly optimized to match user attention.
2Measurement precision
If multiple indicators are displayed to identify various items, then item identification capability is improved, but ease of operation deteriorates due to difficulty in picking out items of interest
Solution Approach 1:
The system performs preliminary action by proactively displaying visual indicators for items that are likely to be of interest based on predicted user gaze direction. Rather than waiting for the user to search through all indicators, the system anticipates which items the user will look at and pre-positions the relevant indicators in the display, making item identification easier while maintaining the ability to provide comprehensive information when needed.
Solution Approach 2:
The system uses feedback from eye-tracking data to continuously adjust which indicators are displayed. By monitoring user gaze patterns and feedback on which items are actually looked at, the system refines its selection of indicators to show, improving ease of operation over time. The feedback loop allows the system to learn user preferences and behavior patterns, optimizing the balance between information completeness and ease of item identification.
Data Source
AI summary
Various embodiments are generally directed to techniques for providing an augmented reality view in which eye movements are employed to identify items of possible interest for which indicators are visually presented in the augmented reality view. An apparatus to present an augmented reality view includes a processor component; a presentation component for execution by the processor component to visually present images captured by a camera on a display, and to visually present an indicator identifying an item of possible interest in the captured images on the display overlying the visual presentation of the captured images; and a correlation component for execution by the processor component to track eye movement to determine a portion of the display gazed at by an eye, and to correlate the portion of the display to the item of possible interest. Other embodiments are described and claimed.