Gaming Asset Adjustment via Behavioral Interaction Data
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Solution Overview
Problem
Current gaming systems fail to accurately determine the adjustment value of gaming assets due to distortion caused by bonuses, jackpots, and free-plays, which are not accounted for in existing profit calculations, leading to inaccurate profit or loss measurements.
Innovation Solution
A system that utilizes behavioral interaction data, including video, audio, and tracking data, to adjust the actual win value and calculate an expected win value, taking into account non-monetary and indirect gaming interactions, using intelligent data collectors and predictive models to model customer behavior and adjust gaming asset performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional profit calculation methods are used in gaming systems, then the calculation process is simple, but the measurement precision of profit or loss is inaccurate due to distortion from bonuses, jackpots, and free-plays
Solution Approach 1:
The patent segments the profit calculation into multiple components: actual win, theoretical win, and adjustment value. Each component is calculated separately using different data sources and methods, then combined to produce the final accurate profit measurement. This segmentation allows the system to handle complex factors like bonuses and jackpots without overwhelming the entire calculation process.
Solution Approach 2:
The patent introduces an intermediary adjustment value that bridges the gap between actual win and theoretical win. This adjustment value accounts for distortions from bonuses, jackpots, and free-plays, serving as a mediator that reconciles the difference between observed outcomes and expected outcomes, thereby improving measurement accuracy without requiring complete redesign of the calculation system.
2Measurement precision
If behavioral interaction data is collected and analyzed, then the prediction accuracy of gaming asset performance is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent creates a multi-functional system that collects behavioral interaction data for multiple purposes: calculating adjustment values, predicting gaming asset performance, and analyzing customer behavior patterns. This universal data collection approach allows the same infrastructure to support various analytical functions, reducing overall system complexity despite the comprehensive nature of the data gathering.
Solution Approach 2:
The patent implements feedback mechanisms where behavioral interaction data is continuously collected, analyzed, and used to adjust predictions and calculations in real-time. The system monitors the effectiveness of bonuses and promotions, then feeds this information back into the calculation model to improve future predictions. This continuous feedback loop enhances prediction accuracy while maintaining manageable system complexity through iterative refinement.
Data Source
AI summary
A method of transforming behavioral interaction data into visually interpretable information, the method including the steps of providing instructions to an end user to assist the end user in obtaining behavioral interaction data associated with a gaming environment including one or more gaming assets; determining one or more summaries of the obtained behavioral interaction data that enable the end user to understand how the gaming environment is affected by the behavioral interaction data.