Virtual and Wearable Display Generative Rendering for Interaction
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Solution Overview
Problem
Existing virtual display systems lack the ability to effectively integrate predictive and generative elements, limiting user interaction and productivity in multi-tasking environments.
Innovation Solution
An extended display generator system that includes an input stream module, function module, visual templates, and a graphical user interface to generate and display content, utilizing AI functions and sensors for enhanced depth perception and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual display systems use traditional display architectures without predictive and generative elements, then the system structure remains simple and reliable, but user interaction capability and productivity in multi-tasking environments are limited
Solution Approach 1:
The patent implements a nested architecture where a virtual display system embeds predictive and generative AI modules within its traditional display architecture. The AI components are contained as functional modules that can be activated during specific tasks, allowing the system to maintain a relatively simple base structure while incorporating advanced capabilities on demand. This modular nesting approach enables enhanced user interaction without requiring a complete redesign of the entire system architecture.
Solution Approach 2:
The predictive AI components perform preliminary actions by anticipating user needs and pre-loading content or interfaces before the user actually requests them. This proactive approach enhances user interaction capability by reducing response times and preparing the display system in advance for anticipated tasks, thereby improving productivity without adding complex real-time processing requirements during user interactions.
2Productivity
If the display system integrates multiple functions and AI capabilities, then productivity and entertainment value are enhanced, but the complexity of the system increases
Solution Approach 1:
The display system employs dynamic functionality where AI-powered features are activated and deactivated based on the current task context and user needs. The system can dynamically switch between traditional display modes and AI-enhanced modes, allowing multiple functions to coexist without permanently increasing system complexity. This dynamic activation ensures productivity enhancements are available when needed while maintaining system simplicity during standard operations.
Solution Approach 2:
The patent implements a universal AI module framework that can serve multiple functions across different display scenarios. A single generative AI component can support content creation, predictive text generation, and interface customization, while a shared predictive modeling system serves both productivity applications and entertainment features. This multi-functionality approach reduces the need for separate dedicated systems for each capability, thereby enhancing productivity without proportionally increasing overall system complexity.
3Ease of operation
If the system uses generative AI for content creation, then user experience and interactivity are improved, but computational resources and processing time are increased
Solution Approach 1:
The system applies partial action by using generative AI only for specific content creation tasks rather than processing all display output through AI. Traditional display functions handle routine content rendering, while AI is selectively applied only when creative content generation is needed, such as generating unique visual elements or adaptive interfaces. This partial application approach improves user experience for interactive tasks while minimizing unnecessary computational resource consumption during standard display operations.
Solution Approach 2:
The predictive AI components perform preliminary content generation and optimization in advance, preparing responses and visual elements before the user actually needs them. By pre-generating content based on predicted user intentions, the system reduces the computational burden during actual user interactions, as the AI has already performed the heavy lifting in advance. This preliminary action approach enhances ease of operation while controlling real-time computational resource usage.
Data Source
AI summary
Methods and apparatus for generative rendering. In some embodiments, an input visual content is operated on by a computational to perform a computer vision function and output generative display content. The generative display content may overlay the input content to be shown on a display system. In some embodiments, the generative display content replaces the video input stream for display.