This invention describes a computer system that observes how at least two people interact within a specific environment. It uses a smart language model to understand their actions and intentions, then translates that understanding into commands for either real-world objects or virtual ones.
Why it matters: In 2011, building a robust 'context-dependent grammar' for multi-user symbolic activity was a monumental, often rule-based, task. Today, advancements in large language models and multi-modal AI make interpreting complex user intent and symbolic interactions significantly more feasible and scalable.
AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.
Reinvent this with AI