AI System Using Virtual Human Objects for Natural Conversation
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Solution Overview
Problem
Current artificial intelligence systems lack the ability to engage in natural conversations, as they primarily rely on pre-programmed scenarios and fail to understand unexplicit meanings or consider the emotions and intentions of human partners, limiting their social interaction capabilities.
Innovation Solution
An artificial intelligence system that includes a storage for human-like data models, a generator to create human-like objects, a world builder to construct virtual environments, and an output determiner to recognize and respond to external situations, allowing for natural and considerate interactions by simulating human thoughts and emotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI systems use pre-programmed scenarios for conversation, then the system structure is simple and reliable, but the AI cannot understand unexplicit meanings or emotions, resulting in unnatural conversations
Solution Approach 1:
The patent creates a virtual human object that copies human characteristics including appearance, motion, and thought patterns. This virtual object is disposed on a second platform to simulate human-like behavior and thought processes, enabling natural conversations without requiring complex real-time emotion analysis systems.
Solution Approach 2:
The system divides the AI architecture into separate platforms: a first platform for external world reproduction and a second platform for internal thought simulation. This segmentation allows the system to handle complex conversation tasks by dividing them into manageable components - external perception and internal simulation are separated, making the overall system more manageable despite the increased functionality.
2Ease of operation
If AI systems merely reproduce pre-prepared scenarios, then the system is easy to operate and maintain, but it cannot make natural conversations or small talks with humans
Solution Approach 1:
The virtual human object on the second platform autonomously generates thoughts and responses based on its programmed human-like characteristics. The system serves itself by automatically simulating human thought processes and selecting appropriate responses without requiring manual programming of each conversation scenario, maintaining ease of operation while enabling natural interaction.
3Adaptability or versatility
If AI systems lack understanding of human emotions and intentions, then the system design is simple, but it cannot behave socially or understand unexplicit meanings
Solution Approach 1:
The patent implements a virtual human object that copies human social characteristics including emotions, intentions, and thought patterns. This virtual object is disposed on a second platform to simulate human-like behavior, enabling the AI to understand and respond to social cues without requiring complex real-time emotion analysis hardware.
Solution Approach 2:
The second platform acts as an intermediary between the external world (first platform) and the AI's response generation. It mediates by simulating human thoughts and emotions in advance, allowing the system to understand social meanings and intentions before generating responses, thus reducing the complexity of real-time social processing.
Data Source
AI summary
An artificial intelligence system includes: a storage configured to previously store a data model; a generator configured to extract the data model from the storage and generate a human object capable of reproducing a motion and a thought of a human; a world builder including a first platform and a second platform and configured to construct a world in which a motion and a thought of the human object are developed, the human object being disposed on the first platform and the second platform; the external world reproduction unit configured to dispose the human object on the first platform and reproduce an external world; and an output determiner configured to obtain an external situation by recognizing the external world reproduced on the first platform, dispose the human object on the second platform, and determine an output to the outside by manipulating the human object.