Metaverse Identity Validation via Contextual Assertion Assessment
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Solution Overview
Problem
In the metaverse, validating user identities across different virtual worlds is challenging due to the lack of a standardized verification process, especially for average users, as conventional verification methods are time-consuming and expensive, and the value of verification diminishes as users migrate across platforms.
Innovation Solution
A system that authenticates users through a communication device, identifies context-specific entities for assessing interactions, and invokes actions based on the validity of assertions, using a processing system to assess assertions relative to thresholds and authorize actions, leveraging a network that integrates blockchain-like ledgers for secure validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional verification methods are used for user identity validation, then verification reliability is improved, but verification time and cost increase significantly
Solution Approach 1:
The system performs preliminary identity verification by obtaining context information about the user and the interaction before the actual verification occurs. This advance preparation includes identifying relevant entities and assessing their trustworthiness, so that when verification is needed, the process is already substantially complete or can be completed rapidly.
Solution Approach 2:
The patent replaces traditional manual or administrative verification mechanisms with an automated computational system that uses machine learning models, context analysis, and entity assessment algorithms. This substitution enables rapid automated verification without requiring time-consuming human review processes.
2Measurement precision
If comprehensive verification processes are implemented, then identity validation accuracy is improved, but system complexity increases
Solution Approach 1:
The verification system is divided into distinct modular components: context information acquisition module, entity identification module, trustworthiness assessment module, and verification decision module. Each component handles a specific aspect of the verification process, making the overall complex system manageable and maintainable while achieving high accuracy through coordinated operation of specialized sub-systems.
3Reliability
If traditional verification systems are used, then verification authority is centralized, but adaptability to different contexts is reduced
Solution Approach 1:
The system identifies and assesses different entities based on their specific roles and contexts. Instead of applying a uniform verification standard, the system adapts its assessment criteria to the local context - evaluating entities differently depending on whether they are social media platforms, educational institutions, employers, or other organizations. This enables context-appropriate verification while maintaining overall system reliability.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining, by a processing system including a processor, an indication of an assertion involving a first avatar of a first user, assessing, by the processing system and based on the obtaining, a validity of the assertion relative to a threshold, and authorizing, by the processing system and based on the assessing, a first action to be taken by the first avatar, a second action to be taken by a second avatar of a second user, or a combination thereof. Other embodiments are disclosed.