Gaze-Based Affordance Enlargement for Ambiguous Selection
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Solution Overview
Problem
Conventional electronic devices rely on input mechanisms like keyboards and touch-screens for user interaction, which can be cumbersome and inefficient, especially in computer-generated reality environments, where precise control using eye gaze is challenging due to uncertainty and instability.
Innovation Solution
Utilizing eye gaze and gestures for interaction, allowing users to select and manipulate objects through gaze direction and depth determination, combined with confirming actions to prevent false positives, enabling efficient control in both two-dimensional and three-dimensional environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional input mechanisms (keyboards, buttons, touch-screens) are used for user interaction, then the interface is reliable and easy to manufacture, but the interaction becomes cumbersome and inefficient
Solution Approach 1:
The patent replaces mechanical input mechanisms (keyboards, buttons, touch-screens) with an optical-based eye gaze tracking system. The system uses cameras and image processing to detect eye position and movement, substituting physical interaction mechanisms with optical detection to achieve more efficient and natural user interaction.
2Ease of operation
If eye gaze is used for precise control in computer-generated reality environments, then the interface becomes more natural and efficient, but control precision deteriorates due to uncertainty and instability of eye gaze position
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors eye gaze position and provides visual feedback indicators showing the detected gaze point. This allows users to see where their gaze is being detected and make real-time adjustments, improving precision while maintaining the naturalness of eye-based interaction.
Solution Approach 2:
The system performs preliminary gaze stabilization and prediction algorithms that anticipate eye movement patterns and compensate for natural instability. By pre-processing gaze data and applying smoothing algorithms, the system reduces measurement uncertainty before using the gaze data for control, thereby improving precision without sacrificing the natural eye-based interface.
3Speed
If gaze direction and depth determination are used for object selection, then interaction speed increases, but false positive selections occur without confirming actions
Solution Approach 1:
The patent implements a two-stage selection process: first, gaze direction and depth are used to pre-select or highlight potential target objects quickly, then a confirming action (such as a sustained gaze dwell time or additional eye gesture) is required to finalize the selection. This preliminary action stage allows rapid navigation to potential targets while the confirmation stage prevents false positives, balancing speed and reliability.
Data Source
AI summary
In an exemplary process for interacting with affordances using eye gaze, a first affordance is displayed concurrently with a second affordance. In response to determining that a first gaze direction or a first gaze depth of a user corresponds to both the first affordance and the second affordance, the first affordance and the second affordance are enlarged.