Financial Profile Video Storylines for VR Decision Visualization
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Solution Overview
Problem
Financial planning tools often provide predictions and explanations in formats that are difficult for users to visualize, making it hard for individuals to understand their current and future financial status effectively.
Innovation Solution
A system and method that creates a video based on a user's financial profile using virtual reality (VR) technology, incorporating historical and external data to generate a storyline, visual representations, and interactive video frames, allowing users to visualize their past, present, and future financial decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If financial planning tools provide predictions and explanations in traditional formats, then the information can be easily delivered, but users find it difficult to visualize and understand their financial status
Solution Approach 1:
The patent transitions from traditional two-dimensional text-based financial reports to three-dimensional immersive video experiences. The system generates narrative storylines with characters and scenarios that unfold in virtual reality space, allowing users to visually and emotionally engage with their financial data in a completely new dimensional framework, thereby dramatically improving understanding and visualization capability.
2Ease of operation
If the system creates immersive VR videos with storylines and visual representations, then user engagement and understanding improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The system divides the complex task of creating immersive financial visualizations into distinct modular components: data collection modules (historical data, user data, external data), data analysis modules (extracting data points, predicting outcomes), storyline generation modules (creating narratives with characters and relationships), and video production modules (generating VR video frames). This segmentation allows each component to be developed, optimized, and maintained independently, managing overall system complexity while enabling sophisticated user engagement.
3Measurement precision
If the system processes and analyzes extensive historical, user, and external data to generate personalized storylines, then the accuracy and relevance of financial predictions improve, but the time required for data processing increases
Solution Approach 1:
The system performs preliminary data collection, organization, and pre-processing actions before generating the final video output. Historical data, user data, and external data are gathered, cleaned, and structured in advance, with key insights and patterns identified beforehand. This preliminary action reduces the processing time required during video generation while maintaining high prediction accuracy, as the foundation of accurate data preparation is already in place.
Data Source
AI summary
An example system creates a video based on a user's financial profile for a specified time period and displays the video on a virtual reality device to help the user visualize the user's financial decisions resulting in the user's current financial status as well as visualize the user's predicted financial status in the future. The system analyzes the user's historical financial transactional data, profile information and relevant market and peer information to extract and predict one or more data points regarding the user's financial profile from the past, present and the future. The system generates a video about the user's financial profile by creating a storyline based on the one or more data points.