Dialogue training, AI plays the caller

On-the-ground call response requires the flexibility to handle callers in a range of psychological states, from panicked to calm.

However, conventional training struggled to reproduce realistic dialogue, making it difficult to build effective skills.

An LLM-powered AI agent automatically generates dialogue tailored to a variety of personas, including panicked and calm states.

It also structures and automatically evaluates the conversation content, creating a system that quantitatively tracks and manages training quality.

A practical training environment capable of handling diverse psychological states was established, speeding up the acquisition of call response skills.

A structure for objectively evaluating conversation quality and information-gathering efficiency has boosted the overall effectiveness of the training.