Interactive Narrative Engine for Dynamic AI Story Progression
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Solution Overview
Problem
Conventional interactive narration applications lack support for language processing and voice participation, leading to deterministic and limited user experiences, particularly in storytelling, which can result in user disengagement and diminished interaction.
Innovation Solution
An AI language model-enabled interactive narrative engine that supports voice, text, and gesture inputs, allowing users to interactively play characters within stories, generate dynamic content, and incorporate AI-generated images or videos, using modules like a voice mode manager, natural language processing, and AI language models such as gpt-4 or gpt-3.5-turbo to facilitate user-influenced storytelling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional AI-language processing is used for storytelling, then language processing capability is improved, but the system remains focused on static pre-existing content without dynamic user-influenced generation
Solution Approach 1:
The system transitions from static pre-existing content to dynamic content generation by implementing a state machine that processes user inputs in real-time, allowing the story to evolve dynamically based on user actions while maintaining narrative coherence through state transitions
2Stability of the object's composition
If deterministic narration is used, then story structure is maintained, but user experience is diminished due to identical outcomes on each reading
Solution Approach 1:
The system implements feedback loops where user inputs are processed by the state machine, which adjusts narrative progression based on previous user actions, ensuring that each reading provides a unique experience while maintaining overall story structure through state-based control
Solution Approach 2:
The narrative transitions from deterministic to dynamic by using a state machine that adapts story progression based on real-time user inputs, allowing multiple possible outcomes from the same story starting point while maintaining narrative coherence
3Ease of operation
If conventional interactive narration is used, then program control is simplified, but user engagement is reduced due to lack of voice participation and language processing
Solution Approach 1:
The system implements multi-functional input handling that processes various input modalities (voice, text, keyboard, mouse, gestures) through a unified state machine architecture, enabling rich user engagement while maintaining program control through standardized state transitions
Data Source
AI summary
Embodiments of the disclosure can include systems and methods for an AI language model-enabled interactive narrative engine. In one embodiment, a system can comprise an interactive narrative engine with a voice mode manager module operable to receive a user input including at least one user intent; a service module operable to convert the user input for processing by a natural language processing (NLP) module, wherein based at least in part on the user input, the NLP module passes the resultant processed text to the user command preprocessing switch module, which determines at least one outcome for using the user input as an internal program command or as text in the fiction or non-fiction story or narrative; 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 AI language model provides a response to the user's intent and facilitates narrating or telling the story or narrative.