Context-Adaptive AI Avatar/Chatbot

Patent application filed

What is the Context-Adaptive AI Avatar/Chatbot?

The Context-Adaptive AI Avatar/Chatbot features a capability that dynamically adjusts the AI chatbot's responses using LLM (Large Language Model) technology, enabling intent-driven conversations through camera-based facial expression analysis and automatic detection of the conversational flow. This makes it applicable across a wide range of fields, including sales, customer support, education, healthcare, and robot interfaces. A patent application has been filed for this technology (Application No. 2025-035944), and it is built into NERVA, TIGEREYE's AI platform.

Technology overview

This technology analyzes the user's emotions and level of understanding in real time, enhancing the adaptability of the conversation. It offers the following features:
• Analyzes the user's facial expressions via camera and converts them into scores (level of understanding, level of interest, emotional positivity)
• Analyzes the conversational flow and automatically determines the appropriate dialogue stage (opening, needs assessment, closing, etc.)
• Optimizes prompts based on the scores to adjust the output of the LLM (Large Language Model)
• Improves user engagement based on emotion, level of understanding, and level of interest
• Implemented on NERVA, TIGEREYE's AI platform, and deployable across various AI avatars, robots, and chatbots

Comparison with conventional chatbots

Achievable use cases and scenario examples

Specific conversation scenarios (sales pitches, explanations of important matters, interviews, etc.) can be configured step by step, from opening to closing.
Example: Sales Support