AI Virtual User Generation for Personalized Social Communication
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Solution Overview
Problem
Current communication technologies, such as social networking services and virtual entities, lack the ability to reflect individuality and personal concepts, leading to uniform and ineffective communication.
Innovation Solution
An artificial intelligence system that generates a virtual user by processing social data from multiple sources, using machine learning and deep learning to create personalized models that reflect individual personality and concepts, enabling more intimate and accurate communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual communication entity is generated by a computer, then communication between people is enabled, but the entity cannot fully demonstrate or reflect the individuality of an individual
Solution Approach 1:
The patent creates a virtual user that copies and replicates the personal characteristics, concepts, and communication patterns of a real user. The virtual user is generated by processing the real user's social data, conversation history, and profile information to create a digital replica that mirrors their individuality and personal concepts, thereby resolving the contradiction between enabling communication and accurately reflecting individuality.
Solution Approach 2:
The system dynamically adjusts the virtual user's parameters based on processed social data and interaction patterns. By continuously updating the virtual user's knowledge base with new information from the real user's social media activity and conversations, the system maintains accurate representation of evolving personal concepts and individuality over time.
2Ease of operation
If uniform communication technologies are used, then ease of operation is improved, but individuality and personal concepts cannot be expressed
Solution Approach 1:
The virtual user autonomously processes and utilizes the real user's social data to automatically generate personalized responses and communications. The system performs self-learning and self-adjustment based on interaction patterns, eliminating the need for manual configuration while maintaining high adaptability to individual user characteristics and personal concepts.
Data Source
AI summary
An artificial intelligence system includes a first information processing module generating data related to a language based on social data of a first user registered in one or a plurality of social network services, and a second information processing module generating data related to an image based on social data of the first user registered in one or a plurality of social network services. The first information processing module and the second information processing module generate a virtual first user on a computer with respect to the first user.


