Training Fusion Simulator for Immersive 3D Learning
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Solution Overview
Problem
Conventional computer-based training (CBT) courses are formulaic, repetitive, and fail to engage students by not providing real-world applications of learning objectives, leading to unproductive training and poor retention of important lessons.
Innovation Solution
A training fusion simulator that combines disparate training topics into an immersive 3D interactive environment with AI-enabled characters, allowing students to practice multiple disciplines in a realistic virtual setting, providing immediate feedback and scenario customization for improved situational awareness and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional CBT courses are used, then training content can be delivered, but student engagement and retention are poor
Solution Approach 1:
The patent merges multiple disparate training topics into a single integrated virtual environment where students encounter multiple training scenarios simultaneously. This combines security training, human trafficking awareness, and other disciplines into one cohesive experience, making learning more engaging and improving retention by showing real-world applicability across different topics.
Solution Approach 2:
The patent creates virtual copies of real-world scenarios and environments that replicate authentic training situations. Students interact with AI-enabled characters and navigate virtual representations of real-world contexts, allowing them to practice skills in safe simulated environments that mirror actual operational conditions, thereby improving engagement and retention.
2Adaptability or versatility
If conventional CBT courses are used, then training can be completed, but real-world application opportunity is limited
Solution Approach 1:
The patent implements dynamic training scenarios where students must adapt their responses based on evolving situations. The virtual environment presents unfolding scenarios with multiple possible outcomes, requiring students to apply training concepts dynamically rather than following static scripted responses. This dynamic approach improves real-world application readiness while maintaining training productivity.
Solution Approach 2:
The patent creates a universal training platform that handles multiple training disciplines within a single system. The virtual environment serves multiple functions simultaneously - providing security training, human trafficking awareness, and other disciplinary training all within one integrated platform, thereby improving adaptability and versatility while maintaining efficient productivity.
3Loss of information
If conventional CBT courses are used, then training content is delivered, but learning transfer between courses is minimal
Solution Approach 1:
The patent merges multiple training courses into a single integrated virtual environment, eliminating the barriers between separate CBT courses. Students experience learning transfer naturally as they navigate interconnected scenarios across different training disciplines within one continuous virtual world, reducing information loss while managing system complexity through unified architecture.
Data Source
AI summary
A method disclosed herein comprises providing a first user interface to display on a first computing device of a first user, where the first user interface presents a plurality of disparate training topics. Each training topic of the plurality of disparate training topics is associated with one or more learning objectives. The method further comprises generating, based on a selection of training topics, an interactive experience for a second user to assess an understanding by the second user of one or more learning objectives associated with the selection of training topics, where the interactive experience includes a virtual 3D environment and one or more AI-enabled characters. The method further comprises controlling visual content associated with the interactive experience being rendered on a display of a second computing device of the second user by rendering a representation of the virtual 3D environment and the one or more AI-enabled characters.