Immersive Scenario Generation With Multi-Agent AI Customization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Creating immersive virtual scenarios for training and entertainment is a time-consuming and resource-intensive process that often lacks customization and immersion, with existing methods being overly generic and inefficient.

Innovation Solution

An immersive virtual scenario tool utilizing an agent manager AI model and autonomous agent expert AI models to automatically create scenario chapters based on user descriptions, leveraging multimodal generative AI to tailor environments to specific user needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual methods are used to create immersive virtual scenarios, then customization and quality can be achieved, but the process becomes time-consuming and expensive

Engineering Contradiction:

Improvescenario qualityVSAvoidcreation time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system segments the scenario creation process into distinct components handled by specialized AI agents: environment agents create spatial settings, character agents generate character profiles and behaviors, story agents develop narratives, and object agents populate scenes. This segmentation allows parallel processing of different scenario elements, dramatically reducing overall creation time while maintaining quality through specialized expertise in each domain.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent replaces manual mechanical creation processes with automated AI-based systems. Multiple domain-specific AI agents automatically generate environments, characters, stories, and objects based on user input, eliminating the need for manual design and significantly reducing creation time while maintaining or improving scenario quality through consistent application of AI-generated content.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If existing automated methods are used to create virtual scenarios, then efficiency improves, but the scenarios become overly generic and lack customization

Engineering Contradiction:

Improvecreation efficiencyVSAvoidcustomization capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system applies local quality by assigning specialized expertise to different AI agents for specific scenario components. Each agent (environment, character, story, object) is trained to handle its domain with high quality, allowing the overall system to maintain customization capability while achieving efficiency through automated parallel processing of specialized tasks.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically adapts to user needs by allowing flexible configuration of scenario parameters, selection of specific AI agents for different components, and iterative refinement of generated content. Users can adjust the level of customization versus automation, and the system dynamically balances efficiency and adaptability based on user preferences and scenario requirements.

Inventive Principle:

Principle #15Dynamics

3Reliability

If high-quality immersive virtual environments are created, then training effectiveness improves, but development and maintenance costs increase

Engineering Contradiction:

Improvetraining effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system creates reusable scenario templates and assets through AI generation that can be copied and adapted for multiple training scenarios. Once environments, characters, and storylines are generated by the AI agents, they can be replicated and modified for different training purposes, reducing the need to create entirely new scenarios and lowering long-term development and maintenance costs.

Inventive Principle:

Principle #26Copying

4Adaptability or versatility

If manual creation methods are used, then scenarios can be tailored to specific requirements, but the process becomes resource-intensive

Engineering Contradiction:

Improvescenario tailoringVSAvoidresource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system implements self-service through AI agents that automatically generate and refine scenario content based on user input without requiring manual intervention for each component. The agents independently create environments, characters, stories, and objects, tailoring scenarios to specific requirements while reducing resource consumption by eliminating repetitive manual design work and enabling parallel automated processing.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260024282A1Expert-based generation and refinement of training- and entertainment stories

Publication Date: 2026.01.22 SAP SE

AI summary

A system associated with an immersive experience framework may include an immersive virtual scenario data store containing information about a plurality of three-dimensional scenarios (each associated with a series of scenario chapters). An immersive virtual scenario tool may receive, from a user, an immersive virtual scenario user description (e.g., including a location description). A request prompt is created based on the scenario user description and transmitted to an agent manager AI model. The agent manager AI model facilitates iterative interactions between the agent manager AI model and a plurality of autonomous agent expert AI models to automatically create a series of scenario chapters based on the immersive virtual scenario user description. The system may then store information about the series of scenario chapters in the immersive virtual scenario data store and the user can interact with the scenario using a substantially real-time experience interaction engine.