Extended Reality Interface Eye Tracking Input Reduction
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Solution Overview
Problem
Current methods for presenting system user interfaces in extended reality environments are cumbersome, inefficient, and create a significant cognitive burden on users, often requiring excessive inputs and leading to errors, particularly in battery-operated devices where energy efficiency is a concern.
Innovation Solution
The implementation of a computer system that communicates with a display generation component and an input device, which receives user inputs to invoke operations and applies modifications to the display, presenting a system user interface with optimized user interface objects to reduce the number and nature of user inputs, enhance feedback, and conserve power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional methods are used to present system user interfaces in extended reality environments, then the interface can be displayed, but the process becomes cumbersome and creates significant cognitive burden on users
Solution Approach 1:
The system automatically detects user intent through eye tracking and gaze analysis, allowing the interface to adapt and respond without requiring explicit user commands. The interface serves itself by interpreting visual attention patterns to determine which operations the user wants to perform, reducing cognitive burden and interaction complexity
Solution Approach 2:
The patent replaces traditional mechanical input methods (buttons, switches, touch inputs) with optical detection methods using eye tracking cameras and gaze analysis. This substitution eliminates the need for physical interaction mechanisms, creating a more natural and less cumbersome interface experience
2Loss of information
If detailed feedback is provided to distinguish system user interface content from application content, then user understanding improves, but the system consumes more energy and takes longer to process
Solution Approach 1:
The system provides feedback selectively based on detected user intent rather than continuously. By using eye tracking to determine when and what feedback is needed, the system avoids unnecessary processing and energy consumption while still providing sufficient information to distinguish system UI from application content
Solution Approach 2:
The system uses real-time eye tracking data as feedback to dynamically adjust the level and type of information presented to the user. This feedback loop allows the interface to provide only the necessary feedback to maintain user understanding without excessive energy consumption
3Reliability
If the system waits for explicit user input before responding, then accuracy improves, but the interaction time increases and battery life decreases
Solution Approach 1:
The system performs preliminary analysis of eye gaze patterns and visual attention to predict user intent before explicit input is given. By pre-processing visual data and detecting intent signals in advance, the system can respond more quickly while maintaining accuracy through the predictive nature of eye tracking analysis
Data Source
AI summary
In accordance with some embodiments, a method for presenting a system user interface in an extended reality environment is described.