XR Application Lifecycle With Context Ranking and Progressive Loading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing artificial reality systems require manual selection, download, and execution of applications, which is time-consuming and difficult, especially in navigating relevant applications for a current context, and lack effective permission management and coordination among multiple applications, leading to overcrowding and clutter in the artificial reality environment.
Innovation Solution
An artificial reality application system that automatically suggests applications based on context, progressively downloads components, manages permissions, and employs context-based ranking to coordinate application output, ensuring timely and relevant information without manual research or clutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually discover and manage applications in existing artificial reality systems, then users have control over application selection, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system performs automatic application discovery and context matching without requiring manual user intervention. The application manager autonomously identifies relevant applications based on environmental context, user behavior patterns, and application metadata, then presents curated suggestions to users, significantly reducing the time and effort required for application discovery and management.
2Adaptability or versatility
If all applications are made available in the artificial reality environment, then users have access to comprehensive functionality, but the environment becomes cluttered and confusing
Solution Approach 1:
The system dynamically adjusts application visibility and prioritization based on local contextual factors such as current location, time of day, active tasks, and user preferences. Applications are selectively presented and prioritized in context-relevant situations while remaining available but hidden in others, maintaining environment cleanliness while preserving comprehensive functionality when needed.
Solution Approach 2:
The application manager implements dynamic prioritization where application importance and visibility change based on real-time context. Applications transition between active, dormant, and hidden states based on contextual relevance, ensuring that only the most pertinent applications are prominently displayed at any given moment while maintaining access to the full application ecosystem.
3Reliability
If applications are continuously executed to maintain model persistence in artificial reality, then models remain available to users, but system resources are consumed continuously
Solution Approach 1:
The system pre-loads application components and models into a dormant state before they are needed, based on predictive analysis of user behavior and contextual cues. This allows models to be quickly activated when required while avoiding continuous execution, as components are prepared in advance but not actively consuming resources until activation is triggered by contextual conditions.
Data Source
AI summary
Aspects of the present disclosure are directed to an artificial reality (XR) application system controlling applications in an artificial reality environment. In various cases, these controls include automatically suggesting XR applications by determining an XR context and identifying applications that match the XR context. These applications can be suggested to a user, who can authorize their execution, setting permissions for the application. In some cases, applications can be divided into components which can be progressively downloaded. By providing application suggestions relevant to the current context and progressively downloading application components, applications can appear ambient, rather than relying on users to constantly download, install, or activate applications. Permissions for applications may be revoked permanently or for certain situations—either through user permissions selections or automatically in response to determined user intents. When multiple applications are simultaneously authorized to execute, the XR application system can employ a ranking system to prevent overcrowding.