NLP Game Control System for Automated Character Actions

The patent replaces traditional mechanical gaming control interfaces (keyboard, mouse, controller inputs) with a natural language processing system. The NLP model translates human language commands into game action sequences, substituting the mechanical input method with an intelligent language-based interface. This allows users to command game characters using natural language instead of complex manual controls, achieving both automation and ease of operation.

The patent implements self-service by enabling a single user to issue natural language commands that are automatically executed by multiple game characters independently. The NLP system processes user commands and generates appropriate action sequences for each character based on their characteristics and the game context, allowing characters to autonomously perform tasks without requiring continuous manual control. This dramatically improves character management efficiency while minimizing user time investment.

The patent applies universality by designing the NLP system to handle multiple types of game commands and interactions through a single unified interface. The system can process various natural language inputs (questions, commands, requests) and translate them into appropriate game actions across different game contexts. This multi-functional approach enhances user interaction flexibility while managing system complexity through a consolidated NLP architecture rather than separate specialized systems for each interaction type.