Metaverse Debugging via Live Session Monitoring
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Solution Overview
Problem
Current metaverse debugging methods are offline, consuming significant processing and networking resources, and resulting in increased downtime of metaverse sessions.
Innovation Solution
A system that allows debugging of live metaverse sessions through a network-connected monitoring/debugging system, enabling developers to access sessions, generate error flags, and deploy solutions in real-time without taking sessions offline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If offline debugging is used, then developers can identify and fix issues, but metaverse session downtime increases and computing resources are consumed
Solution Approach 1:
The system performs preliminary monitoring and error detection during live metaverse sessions, identifying issues before they require offline debugging. Error flags are generated and tracked in real-time, allowing developers to address problems while the session remains operational, thus eliminating downtime associated with traditional offline debugging approaches
Solution Approach 2:
The patent introduces an intermediary debugging interface that acts as a mediator between the live metaverse session and developers. This interface allows developers to interact with and debug the session without taking it offline, enabling continuous operation while issues are being resolved through the intermediary debugging layer
2Reliability
If offline debugging sessions are conducted, then issues can be identified, but processing and networking resources are consumed
Solution Approach 1:
The monitoring system automatically detects errors, generates error flags, and provides debugging information without requiring separate offline debugging sessions. The system serves itself by continuously monitoring the metaverse session and autonomously identifying issues, eliminating the need for additional resource-intensive offline debugging operations
Solution Approach 2:
Instead of intermittent offline debugging sessions that consume bursts of computing resources, the system implements continuous monitoring and error detection during live sessions. This continuous operation at normal resource levels replaces the need for intensive periodic offline debugging, optimizing overall resource utilization
3Ease of operation
If developers access metaverse sessions for debugging, then user issues can be addressed, but session performance may be impacted
Solution Approach 1:
The debugging functionality is segmented into a separate interface layer that operates independently from the core metaverse session. Developers access through this segmented debugging interface, which isolates their debugging activities from the main session operations, allowing both debugging and session performance to proceed without mutual interference
Data Source
AI summary
A method includes monitoring an interaction of a user with a metaverse session. A notification is sent to a first developer that the user is facing an issue while interacting with the metaverse session. The first developer is allowed access to the metaverse session at a location of the issue using a first developer avatar. One or more error flags are generated within a field of view of the first developer avatar in the metaverse session. Each error flag includes a respective error code. In response to determining that a first error code of a first error flag matches a first stored error code, a first solution is determined. The first solution includes a first stored solution corresponding to the first stored error code. In response to determining that the first solution solves the issue of the user, the first solution is deployed to the metaverse session.