Natural Language Game Assistant System
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Solution Overview
Problem
The challenge lies in configuring a voice-enabled system to guide and participate in tabletop games without requiring extensive programming skills, as current systems demand complex coding and resources that game developers may not possess, limiting the ability to create and play new games efficiently.
Innovation Solution
The system leverages speech processing, computer vision, and natural language generation to ingest and process natural language rules, allowing game developers to teach the system game rules through text and image data, enabling it to guide and participate in games by recognizing game tokens and board configurations, and providing verbal instructions and gameplay assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech processing and natural language understanding are used to enable voice control of computing devices, then human-computer interaction is improved, but the complexity of the system increases
Solution Approach 1:
The patent introduces a natural language interface as an intermediary layer between the user and the complex speech processing system. Users interact through natural language commands rather than directly controlling complex system parameters, simplifying the interaction while the system handles the underlying complexity of speech recognition and processing automatically.
2Adaptability or versatility
If complex coding and resources are required to configure a voice-enabled system for tabletop games, then the system can perform advanced game guidance functions, but the ease of use for game developers decreases
Solution Approach 1:
The system automatically configures itself by processing natural language rules provided by game developers. Instead of requiring developers to manually program game logic, the system self-configures by ingesting and interpreting natural language descriptions of game rules, automatically generating the necessary computational models and guidance logic.
Solution Approach 2:
The patent replaces traditional mechanical programming approaches with natural language processing. Instead of requiring developers to write code or configure complex system parameters, the system accepts natural language rule descriptions and automatically translates them into functional game guidance logic, substituting linguistic input for mechanical programming.
3Ease of manufacture
If natural language processing is used to ingest game rules, then the setup process is simplified, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of natural language rules during the configuration phase, creating optimized computational representations in advance. By pre-processing and structuring the natural language input into efficient data structures and logic models before gameplay begins, the system reduces the computational burden during actual game execution.
Data Source
AI summary
This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to “teach” the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.