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This invention describes a system that listens to what people say in a meeting, converts it to text, and then builds a real-time map of the words used. It analyzes this map to understand the mental state or focus of individual participants and smaller groups within the meeting. If it detects that someone's focus is drifting, the system can automatically generate and provide advice to help guide the conversation or bring participants back together.
Why it matters: Filed before the widespread adoption of advanced AI models, particularly Large Language Models (LLMs), which have significantly improved the ability to perform real-time semantic analysis, infer cognitive states, and generate context-aware advice from spoken text. The core challenge of accurately identifying "cognitive states" remains, but the tools to attempt it are far more powerful now.
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