Dynamic Bonus Point System for Gaming Machines
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Solution Overview
Problem
Current bonus point systems in gaming entertainment centers lack dynamic control, failing to adapt in real-time to player activity and statistics, leading to suboptimal loyalty creation and revenue generation.
Innovation Solution
A method and system for dynamically gathering data on player activity and gameplay, determining statistical quantities, and reconfiguring gaming machines to provide bonus points and extra-awards based on real-time data, adjusting accrual rates and game configurations to enhance player engagement and revenue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bonus point accrual rates are preconfigured and fixed throughout the year, then the bonus point system is simple to implement and market, but it cannot adapt in real-time to player activity and statistics
Solution Approach 1:
The patent implements dynamic bonus point accrual rates that automatically adjust based on real-time player activity statistics. The system transitions from fixed, preconfigured rates to dynamically changing rates that respond to player behavior patterns, wagering amounts, and game performance metrics without requiring manual reconfiguration.
Solution Approach 2:
The system continuously monitors player activity and game statistics, then uses this feedback to automatically adjust bonus point accrual rates. The feedback loop collects data on player wagering patterns, game outcomes, and performance metrics, then feeds this information back to the bonus calculation engine to modify accrual rates in real-time.
2Productivity
If bonus point accrual rates are dynamically adjusted based on real-time data, then player engagement and revenue are enhanced, but the system complexity and data processing requirements increase
Solution Approach 1:
The bonus point system operates autonomously by automatically collecting player activity data, calculating statistical quantities, determining appropriate bonus rates, and adjusting accrual parameters without manual intervention. The system serves itself by implementing the entire dynamic adjustment process through automated algorithms and real-time data processing.
Solution Approach 2:
The system dynamically changes key parameters including bonus point accrual rates, extra-award thresholds, and time period configurations based on real-time analysis of player statistics. These parameter adjustments are made automatically to optimize revenue generation while adapting to changing player behavior patterns.
3Ease of operation
If gaming machines are reconfigured based on real-time statistical data, then personalized bonus incentives are provided, but the complexity of real-time data gathering and processing increases
Solution Approach 1:
The system implements a universal data collection framework that gathers multiple types of player activity information (wagering amounts, game outcomes, time stamps, performance metrics) through a single integrated approach. The same data infrastructure supports multiple analytical functions including bonus calculation, player profiling, and performance tracking simultaneously.
Solution Approach 2:
The patent introduces an intermediary data processing layer that collects raw player activity data from gaming machines, processes and aggregates this information into statistical quantities, and then uses these processed statistics to determine bonus parameters. This intermediary layer simplifies the overall system by centralizing data handling and transformation operations.
4Reliability
If extra-award accrual rates are adjusted dynamically during different time periods, then player loyalty is enhanced, but the complexity of managing multiple accrual rates increases
Solution Approach 1:
The system implements periodic adjustments to bonus point accrual rates based on defined time periods. Different accrual rates are automatically applied during different time periods (e.g., peak hours, off-peak hours, promotional periods) based on real-time player activity patterns, creating a rhythmic structure to bonus distribution that enhances player engagement.
Data Source
AI summary
A player of an enhanced game receives a bonus for playing the enhanced game and a chance for an additional extra award. The additional extra award may be based on one or more factors: the actual game title of the game being played by the player, the rate of gameplay by the player, the rate of gain/loss for an entity different from the player, a rate of gain/loss for the player, or the like. Gameplay and player data may be gathered and a dynamic bonusing system may reconfigure a gaming machine being played by the player based at least on the gathered data.