AI Character Model Construction via Natural Language Translation
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Solution Overview
Problem
Existing virtual character models are application-specific, require users to learn specific rules and logic, and demand detailed parameter descriptions in predetermined formats, limiting their integration and flexibility across different environments and applications.
Innovation Solution
A computing platform and method that allow users to input character descriptions in free-text format, generating AI character models with adjustable parameters, enabling interaction through verbal and emotional responses, and integrating with external applications via APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing virtual character models are developed for specific applications with predetermined formats, then the character models can be created with specific rules and logic, but the users have to learn these specific rules and logic and provide detailed descriptions, increasing the complexity of operation
Solution Approach 1:
The patent introduces an AI-based intermediary system that translates user-friendly natural language descriptions into detailed character model parameters. Instead of requiring users to directly configure complex predetermined formats, the AI intermediary acts as a mediator that converts simple user inputs into accurate character model configurations, resolving the contradiction between model accuracy and operation simplicity
Solution Approach 2:
The patent replaces the mechanical system of manual parameter configuration with an AI-based automated system. The AI model automatically generates character parameters based on natural language descriptions, eliminating the need for users to learn and manually adjust complex predetermined formats, thus simplifying operation while maintaining accuracy
2Reliability
If existing virtual character models are developed for specific applications, then the character models can be optimized for their specific purposes, but they do not allow integration with other applications and environments, reducing adaptability
Solution Approach 1:
The patent creates a universal character model framework that can function across multiple applications and environments. The AI-generated character models are designed with standardized interfaces and parameters that enable them to be integrated into different applications, allowing a single character model to serve multiple purposes rather than being locked into a specific application
Solution Approach 2:
The patent employs parameter changes to enable adaptability. The AI system generates character models with adjustable parameters that can be modified to suit different application requirements. By changing parameters such as interaction modes, environmental adaptations, and integration protocols, the same character model foundation can be optimized for different applications without requiring complete model redesign
3Manufacturing precision
If users provide detailed descriptions of virtual character models in predetermined formats, then the character models can be created with high precision, but the users have to specify a large number of parameters, increasing the complexity of the system
Solution Approach 1:
The AI intermediary system automatically handles the complex parameter configuration process. Instead of requiring users to manually specify numerous parameters, the AI intermediary analyzes natural language descriptions and automatically generates appropriate parameter values, maintaining high model precision while eliminating the complexity of manual parameter configuration
Solution Approach 2:
The system implements self-service by having the AI model automatically generate and optimize character parameters based on user descriptions. The AI system performs self-analysis of the input description and autonomously determines the appropriate parameter settings, eliminating the need for users to manually configure complex parameters while maintaining high precision
Data Source
AI summary
Systems and methods for providing an interface for construction of an Artificial Intelligence (AI) character model are provided. An example method includes receiving a description of a character from a user via a client-side computing device; generating, based on the description, parameters of the AI character model corresponding to the character; and providing, via the client-side computing device, the interface enabling the user to modify at least one of the parameters of the AI character model. The description includes a guideline for an actor describing how to play the character, an age, an ethnicity, an appearance, a motivation, a habit, knowledge of the character, and a dialog of the character with a further character. Values of entry fields for modifying the parameters of the AI character model are determined based on the description.