Responsible Gaming Engine for AI-Tracked Healthy Play Rewards
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Solution Overview
Problem
Traditional responsible gaming solutions often restrict players for unhealthy behavior, leading to further craving and unhealthy gaming habits, rather than incentivizing healthy play.
Innovation Solution
A gaming system that rewards players for exhibiting healthy behaviors, such as wagering within their means, not becoming aggressive, and taking breaks, using AI to analyze player actions and provide incentives like cash awards or loyalty points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional responsible gaming solutions restrict players for unhealthy behavior, then player safety is improved, but player craving and unhealthy gaming habits worsen
Solution Approach 1:
Instead of restricting players for unhealthy behavior, the system inverts the approach by rewarding healthy gaming behavior. The responsible gaming engine monitors player actions and provides incentives (bonuses, rewards) when players exhibit healthy play patterns, such as taking breaks or playing within limits, rather than punishing unhealthy behavior directly.
Solution Approach 2:
The system converts the harmful restriction approach into a beneficial reward approach. By monitoring and identifying unhealthy play patterns, the system doesn't punish but rather offers targeted rewards when players choose healthy alternatives, transforming the negative restriction mechanism into a positive incentive structure that addresses player safety while reducing craving.
2Productivity
If gaming systems incentivize players to use the machine more, then productivity is improved, but player healthiness worsens
Solution Approach 1:
The system dynamically adjusts incentives based on real-time player behavior monitoring. The responsible gaming engine continuously evaluates player actions and modifies reward delivery accordingly, allowing the system to incentivize increased machine usage when play remains healthy while automatically reducing or stopping incentives when unhealthy patterns emerge, thus adapting productivity promotion to healthiness conditions.
Solution Approach 2:
The system implements continuous feedback loops where the responsible gaming engine monitors player behavior, evaluates healthiness metrics, and adjusts incentive delivery in real-time. This feedback mechanism ensures that productivity incentives are only provided when player healthiness thresholds are met, creating a self-regulating system that promotes machine usage within healthy boundaries.
Data Source
AI summary
The present disclosure relates generally to a gaming system, device, and method supportive of rewarding responsible gaming behaviors. An illustrative method includes presenting a representation of the electronic game on a display device, where the representation of the electronic game includes displaying a plurality of game features, executing the electronic game, determining, during execution of the electronic game, that a player of the electronic game has taken an action that corresponds to a responsible gaming action, correlating the responsible gaming action to a reward for the player, and presenting information to the player that describes the reward for the player along with instructions for redeeming the reward.