State-Based Power-Up Management for Wagering Games
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Solution Overview
Problem
Current wager-based gaming systems lack effective mechanisms to provide dynamic and player-specific in-game advantages that adapt to game outcomes, leading to inconsistent player engagement and revenue generation.
Innovation Solution
A state-based power-up management system that associates players with in-game advantages through a server, which communicates with gaming machines to provide and manage these advantages based on predefined conditions, ensuring that advantages are maintained or revoked based on game outcomes, and can be shared across multiple machines and social networking platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If player tracking systems are used to reward players for achievements, then player engagement is improved, but the system lacks dynamic adaptation to game outcomes
Solution Approach 1:
The power-up system dynamically adjusts player advantages based on real-time game outcomes. When players achieve favorable outcomes, they receive extending the power-up duration; when outcomes are unfavorable, the power-up expires. This dynamic adaptation resolves the contradiction by making the system responsive to game results without requiring complex manual intervention.
Solution Approach 2:
The system implements feedback loops where game outcomes directly influence power-up status. The gaming machine monitors game results and automatically extends or terminates power-ups based on predefined conditions. This automated feedback mechanism enables adaptability while maintaining manageable system complexity through rule-based automation.
2Productivity
If in-game advantages are provided to players, then player engagement is improved, but revenue generation becomes inconsistent
Solution Approach 1:
The power-up duration is dynamically adjusted based on game outcomes rather than being fixed. Favorable outcomes extend the power-up, allowing players to maintain advantages and continue playing, while unfavorable outcomes cause expiration. This dynamic approach ensures revenue consistency by tying advantage allocation to actual game performance and player spending patterns.
Solution Approach 2:
The system changes the time parameter of power-up duration based on game outcomes. The duration is not static but varies according to whether players meet predefined outcome conditions. This parameter adjustment enables the system to balance player engagement with consistent revenue generation by adapting advantage availability to actual gameplay results.
3Extent of automation
If power-up duration is extended based on favorable outcomes, then player engagement is improved, but the system lacks automated outcome monitoring
Solution Approach 1:
The gaming machine automatically monitors its own game outcomes and independently determines whether power-up extension conditions are met. The system self-manages the entire process from outcome tracking to power-up duration adjustment without requiring external intervention. This self-service approach maximizes automation while minimizing additional system complexity by utilizing existing machine capabilities.
Solution Approach 2:
The system establishes automated feedback loops where game outcomes are continuously monitored and directly influence power-up status. The gaming machine receives outcome data, evaluates it against predefined conditions, and automatically adjusts power-up duration accordingly. This automated feedback mechanism achieves high extent of automation without proportionally increasing system complexity through rule-based decision making.
Data Source
AI summary
Disclosed herein are techniques and equipment for providing state-based power-ups to a wagering game player. The state-based power-ups may be reused by the player until a game outcome condition is not met.