AI Avatar Response Guidance With Real-Time Human Feedback
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Solution Overview
Problem
Conventional digital assistants rely on static data and lack the ability to update in real-time, leading to inaccurate responses and user frustration, especially in dynamic contexts.
Innovation Solution
An AI avatar system that integrates real-time inputs from human representatives and utilizes AI engines with guided and constrained prompts to generate dynamic, personalized responses, leveraging natural language processing and multimodal interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional digital assistants use pre-defined static data, then device complexity is reduced and ease of operation is improved, but the reliability and accuracy of responses deteriorate in dynamic contexts
Solution Approach 1:
The patent introduces a human representative as an intermediary who receives notifications about user interactions with the AI avatar and provides real-time inputs or corrections. This mediator bridges the gap between the AI system and accurate information, allowing the digital assistant to improve response reliability without requiring complex autonomous learning systems. The human representative acts as the intermediary that supplies accurate information when the AI avatar encounters queries outside its pre-programmed knowledge base.
2Adaptability or versatility
If conventional digital assistants operate autonomously without real-time updates, then ease of operation is improved and device complexity is reduced, but adaptability to new information deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the AI avatar's interactions with users are monitored and fed back to a human representative through notifications. The human representative then provides real-time inputs or corrections that update the AI avatar's knowledge base. This continuous feedback loop enables the system to adapt to new information and changing contexts without requiring complex autonomous learning algorithms, as the feedback from human representatives guides the adaptation process.
3Loss of time
If manual database updates are used, then device complexity is reduced, but loss of time increases due to delays in updating information
Solution Approach 1:
The patent establishes a continuous update mechanism where the AI avatar's knowledge base is continuously refreshed through real-time inputs from human representatives. When the AI avatar encounters a query outside its knowledge base, the system continuously seeks updates by notifying the human representative, who provides real-time information. This continuous action eliminates the time delays associated with periodic manual updates, ensuring the digital assistant always has access to current information without requiring complex automated data collection systems.
Data Source
AI summary
A system and method for guiding an AI engine to generate a response by an AI avatar for a user. The response generation process includes an AI guidance and control system configured to facilitate the communication of the user to the AI avatar. The response generation process receives real-time inputs from a human representative via a mobile application which helps the AI engine to provide the response to the user when the query of the user is new to the AI avatar. A specially generated, technical prompt guides the AI engine to enable dynamic and continuous interaction. The AI engine ingests both user and real-time inputs, using a natural language processing algorithm to analyze and update a knowledge base of the AI avatar. A multimodal processing engine on a cloud-based server utilized by AI engine further enhances by handling diverse input types to provide personalized responses to the user.