AI Interactive Narrative Engine for Dynamic Story Generation
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Solution Overview
Problem
Conventional interactive narration applications lack support for language processing and voice participation, leading to a deterministic and limited user experience, with static human-authored content that does not allow for dynamic user-influenced content generation.
Innovation Solution
An AI language model-enabled interactive narrative engine that interprets user inputs, including voice, text, and gestures, to generate or supplement stories, adjusting language complexity and allowing user interaction with characters and environments, using AI image and video generators for multimedia support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional interactive narration applications use static pre-existing human-authored content, then the content structure and authorial intent are preserved, but the user experience becomes deterministic and limited without dynamic user-influenced content generation
Solution Approach 1:
The patent introduces an AI language model as an intermediary between the user and the story content. This intermediary processes user inputs, interprets intentions, and generates dynamic narrative responses that blend pre-existing human-authored content with user-influenced content generation, resolving the contradiction between preserving authorial intent and enabling user agency
Solution Approach 2:
The system transforms static pre-existing content into a dynamic interactive experience by implementing real-time content generation capabilities. The narrative adapts dynamically to user inputs while maintaining coherence with the original story structure, enabling versatile user influence without requiring complete restructuring of the content
2Adaptability or versatility
If conventional interactive narration applications lack voice participation support, then the system architecture remains simple, but the user experience is limited and accessibility is reduced
Solution Approach 1:
The patent implements a universal input interface that accepts multiple modalities including voice, text, and other input types. The AI language model processes these diverse inputs uniformly, enabling the system to serve multiple user preferences and accessibility needs without requiring separate processing pipelines for each input type
Solution Approach 2:
The system replaces traditional mechanical text-only input interfaces with voice-based and multimodal input capabilities. This substitution enhances accessibility for users with different abilities while the AI language model abstracts the complexity of processing different input types, maintaining system simplicity despite increased functionality
3Productivity
If conventional interactive narration applications use deterministic outcomes, then the story structure remains consistent, but user engagement decreases over time
Solution Approach 1:
The patent implements feedback loops where user inputs directly influence narrative outcomes. The AI language model continuously processes user actions and adjusts the story progression accordingly, creating a responsive interactive experience where outcomes depend on user choices rather than being predetermined, thereby maintaining engagement while preserving narrative coherence
Data Source
AI summary
Embodiments of the disclosure can include improved systems and methods for an AI language model-enabled interactive narrative engine. In one embodiment, a system can include an interactive narrative engine with a voice mode manager module operable to receive a user input including at least one user intent; one or more modules operable to convert the user input to discern the at least one user intent, wherein based at least in part on the user input and at least in part on output comprising the at least one user intent from a natural language processing (NLP) module, a user command preprocessing switch module determines at least one outcome for using the user input; and an AI language model prompt manager operable to provide the at least one outcome to an AI language model, wherein based at least in part on the at least one outcome, the model provides a response.