Digital Human Responses With Identity and Access-Aware Filtering
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Solution Overview
Problem
Existing digital humans lack the ability to predict user questions through observation and adapt responses based on user permissions and environmental context, leading to reduced engagement and ineffective information delivery.
Innovation Solution
Implement a digital human adaptation system that utilizes machine learning algorithms and language models to evaluate user identity and environment, applying access restrictions to tailor responses and ensure authorized information delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a digital human provides comprehensive responses to all user queries, then information completeness is improved, but security and access control deteriorate because restricted information may be exposed to unauthorized users
Solution Approach 1:
The patent applies local quality by implementing permission-based filtering that tailors the information content of responses according to each user's authorization level. The system analyzes the user's permissions and selectively includes or excludes specific information portions within the response, ensuring that each user receives comprehensive information appropriate to their access level rather than a uniform response for all users.
2Object-affected harmful factors
If a digital human system implements detailed permission checking for each response, then information security is improved, but system complexity and processing time worsen
Solution Approach 1:
The patent applies preliminary action by obtaining and storing user permission information in advance before generating responses. The system retrieves the user's permissions from stored data structures that contain authorization information, rather than performing complex permission analysis during response generation. This pre-fetching and caching of permission data reduces the computational burden during actual interactions.
3Ease of operation
If a digital human provides standardized responses to all users, then ease of operation is improved, but adaptability to different user contexts deteriorates
Solution Approach 1:
The patent applies dynamics by making the digital human's response behavior adaptive rather than static. The system dynamically adjusts response content based on real-time analysis of user permissions, environmental context, and query specifics. This allows the same query to receive different appropriately-tailored responses for different users, maintaining consistency in the interaction framework while adapting the actual information delivered to each user's context.
Data Source
AI summary
Techniques are provided for identity-based varied digital human responses. One method comprises obtaining a query, for a digital human, based on an input from a user; obtaining information characterizing permissions of the user based on an identity authentication of the user; obtaining a response to the query from a language model, wherein the response comprises content having an associated access restriction; determining whether the user is authorized to access the content by comparing the permissions of the user to the access restriction; and providing, by the digital human, a response to the user based on a result of the determining. A physical security of an environment of the user and/or a presence of one or more additional users in the environment may be evaluated to determine whether the user is authorized to access the content.