Gaming System Dynamic Mode Switching for Payout Control
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Solution Overview
Problem
The gaming industry faces a challenge in maintaining player engagement and managing payouts in online games, as existing systems struggle to balance randomness and predictability while ensuring comprehensive control over game parameters.
Innovation Solution
A computer-implemented method for a gaming system that includes a server communicating with an electronic user device, where the system generates a grid table with elements selected from predefined types, adjusts gameplay dynamically based on the current gaming mode, and uses a matching scheme to determine gaming outcomes, ensuring adaptability and controlled variability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the game introduces unexpected scenarios and increases potential payouts to enhance player engagement, then player engagement and excitement are improved, but the operator's control over payout limits becomes more difficult to maintain
Solution Approach 1:
The game dynamically switches between different gaming modes (first gaming mode and second gaming mode) based on detected element formations. This dynamic adjustment allows the system to adapt to player actions while maintaining controlled variability in payouts, resolving the contradiction between enhancing engagement and maintaining operator control.
Solution Approach 2:
The system changes game parameters by switching between different gaming modes with different payout structures and rules. The server can adjust the probability of mode transitions and modify game parameters within each mode to balance player excitement with controlled payout limits, addressing both engagement and control requirements.
2Device complexity
If the game uses fixed gaming modes and rules to ensure operator control, then payout management is simplified, but player engagement and excitement decrease due to lack of variability
Solution Approach 1:
The gaming system transitions from static fixed modes to dynamic mode switching based on game outcomes and detected element formations. This allows the system to maintain simplified payout management through defined modes while introducing variability through conditional transitions, resolving the contradiction between management simplicity and player engagement.
3Adaptability or versatility
If the game increases randomization to enhance winning possibilities and player attraction, then player engagement improves, but computational resources and bandwidth requirements increase
Solution Approach 1:
The system applies different levels of randomization and computational processing to different gaming modes and game states. The server focuses computational resources on critical outcome determinations and mode transitions while using predetermined rules for routine game operations, optimizing the balance between randomization and resource consumption.
4Adaptability or versatility
If the game provides detailed game visuals and interactions to enhance player experience, then player engagement improves, but bandwidth consumption and processing requirements increase
Solution Approach 1:
The system provides differentiated visual detail and interaction complexity based on the current gaming mode and player actions. Critical moments and mode transitions receive enhanced visual treatment while routine gameplay uses standardized assets, optimizing bandwidth usage while maintaining engaging player experience.
Data Source
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AI summary
The present disclosure relates to a computer implemented method performed by a gaming system. In particular, the present disclosure relates to a scheme for further improving a randomness in a game provided by means of the gaming system. The present disclosure also relates to a corresponding gaming system and a computer program product.