Virtual Auction System for Dynamic Car Valuation
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Solution Overview
Problem
Virtual games lack dynamic real-world elements, such as varying auction prices, which limits their realism and engagement, particularly in simulations like car auctions where prices do not reflect real-time market changes.
Innovation Solution
A computer-implemented method for a virtual auction system that allows users to predict the final price of vehicles, tracks actual auction data, and rewards users based on accurate predictions, integrating real-time auction data to enhance gameplay and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual games use fixed initial values for elements, then the game structure is simple and easy to implement, but the game lacks realism and dynamic market feel
Solution Approach 1:
The patent transforms static game elements into dynamic ones by continuously updating vehicle values based on real-world auction data. The system automatically fetches current market prices and adjusts in-game vehicle valuations accordingly, making the game environment dynamic and responsive to real market conditions while maintaining a relatively simple game structure.
Solution Approach 2:
The system implements feedback loops where real-world auction results are continuously monitored and fed back into the game to update vehicle values. This creates a closed-loop system where game economics are influenced by actual market performance, enhancing realism without requiring complex manual intervention.
2Adaptability or versatility
If virtual games incorporate real-time auction data, then the game becomes more engaging and realistic, but the system complexity and data management requirements increase
Solution Approach 1:
The patent introduces an intermediary data processing layer that sits between the external auction platforms and the game system. This intermediary automatically collects, validates, and transforms real-world auction data into game-compatible formats, reducing the complexity burden on the core game system while maintaining high adaptability to various auction sources.
Solution Approach 2:
The system is designed with universal data integration capabilities that can handle multiple auction platforms and data sources through a unified interface. This multi-functional approach allows the game to adapt to different data sources without requiring separate complex integration systems for each platform.
3Loss of information
If the system tracks and compares final sale prices with predicted prices, then user engagement and educational value improve, but the computational requirements and processing time increase
Solution Approach 1:
The system implements selective tracking by focusing computational resources on comparing only the final sale price with the initial predicted price, rather than continuously analyzing every price fluctuation during the auction. This partial action approach provides sufficient market insights for user engagement while significantly reducing computational overhead compared to continuous real-time analysis.
Data Source
AI summary
One or more techniques and/or systems are disclosed for performing a virtual auction including receiving user inputs corresponding to a vehicle, wherein the user inputs indicate a vehicle associated with an online auction and a predicted final price for the vehicle at the online auction. The virtual auction data is tracked to compare the final sale price of the vehicle at the online auction to the predicted final price for the vehicle at the online auction. Virtual rewards are generated in response to determining that the difference between the final sale price and predicted final price satisfies one or more virtual auction rules. A virtual vehicle corresponding to the user selected vehicle is moved into a virtual garage and displayed on a user interface of a user device.