AR Headset Position Adjustment via Sensor Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for adjusting device positioning in computer systems, particularly for augmented and virtual reality environments, are cumbersome, inefficient, and prone to errors, leading to a significant cognitive burden on users and inefficient energy usage in battery-operated devices.
Innovation Solution
A computer system that detects the position of a portion of itself relative to a user's face and provides feedback through alerts, optimizing device positioning by determining whether the system meets specific criteria and adjusting feedback accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional methods for adjusting device positioning are used, then device positioning can be achieved, but the process becomes cumbersome and creates significant cognitive burden on users
Solution Approach 1:
The system automatically detects device position using sensors and cameras, and self-adjusts positioning parameters without requiring complex manual user input. The device serves itself by monitoring its own position and making corrections, reducing the cognitive burden on users while maintaining positioning accuracy
Solution Approach 2:
The system provides real-time visual feedback through a graphical user interface that shows the device's current position and adjustment status. This feedback mechanism helps users understand the positioning process and reduces cognitive burden by making the system's state transparent and predictable
2Productivity
If conventional positioning adjustment methods are used, then positioning can be achieved, but the process takes longer than necessary and wastes energy
Solution Approach 1:
The system performs preliminary positioning adjustments using sensor data and predictive algorithms before full user interaction is required. By pre-computing positioning corrections and preparing adjustment parameters in advance, the system reduces the time needed for final positioning while minimizing energy consumption through selective activation of high-power components only when necessary
Solution Approach 2:
The system uses periodic sensor sampling and incremental positioning adjustments rather than continuous high-power operation. By activating sensors and processing units at optimized intervals and making small incremental adjustments, the system achieves positioning goals faster overall while consuming less battery energy compared to continuous operation
3Measurement precision
If detailed feedback is provided for device positioning, then positioning accuracy improves, but the interface becomes more complex and tedious
Solution Approach 1:
The feedback information is segmented into hierarchical levels of detail. The system provides essential positioning information by default and offers additional detailed feedback only when users request it or when the context requires it. This segmentation maintains simplicity for routine operations while preserving access to detailed information when needed, thus improving precision without permanently complicating the interface
Data Source
AI summary
The present disclosure generally relates to methods and graphical user interfaces for providing feedback pertaining to device position adjustment.