Intersubjective Model of AI-mediated Communication: Augmenting Human-Human Text Chat through LLM-based Adaptive Agent Pair
https://gyazo.com/3aeba9eb57caa45165af87dccbc57406
New forms of communication being researched by Mr. Aoyama (Bluemo) o3-mini-high.iconThis paper proposes a new model, the Intersubjective Model, in which each user engages in conversation in a unique chat environment, mediated by an LLM-equipped AI agent, which extracts and exchanges information to enable flexible interaction that goes beyond traditional direct information transfer.
Basic Structure: 1.
Each user is in a separate chat environment, and each environment has an AI agent. The agent extracts important information from the user's statements and sends it to the agent on the other end. Based on the information received, the agent generates a response to the user.
Features: -Features: -Features
Internal feedback: Immediate response between the user and his/her agent, maintaining the rhythm of the conversation
External feedback: Agents exchange information with each other to complement the meaning and intent of the overall conversation
Applications: Lively conversations, focused discussions, overcoming language barriers and generation gaps, etc.
Example implementation:.
Combining a simple chat UI and GPT-4o-based agent functions (extraction and conversation generation), we have built a system that achieves a natural dialogue rhythm.
This model allows users to communicate in their own subjective environment, but with rich communication through AI-mediated information exchange.
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