Gaming System Incentive Prediction for Session Extension
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gaming systems lack effective methods to extend and enhance player experiences by utilizing cumulative gaming activity history from player tracking systems, leading to a need for innovative ways to encourage players to prolong their gaming sessions.
Innovation Solution
A gaming system that collects and analyzes gaming session data to predict termination causation events, providing incentives such as free spins or multipliers to delay session termination, with the incentive type and value optimized based on previous effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gaming systems use player tracking systems to monitor gaming activity, then player loyalty and engagement are improved, but the ability to extend gaming sessions is insufficient
Solution Approach 1:
The system performs preliminary analysis of player gaming history and predicts termination causation events before they occur. By identifying patterns in previous gaming sessions, the system proactively determines when a player is likely to terminate and prepares appropriate incentives in advance, rather than reacting after termination occurs.
Solution Approach 2:
The system continuously monitors player gaming activity and uses this feedback to refine termination causation event predictions. Player tracking data from multiple sessions is analyzed to improve the accuracy of predicting when players will terminate, allowing for more effective incentive timing and optimization.
2Duration of action of moving object
If gaming systems provide incentives to extend sessions, then session duration is improved, but the complexity of tracking and optimizing incentives increases
Solution Approach 1:
The system automatically analyzes player gaming history and independently determines termination causation events without requiring manual intervention. The incentive selection process is automated based on predicted termination patterns, reducing the need for complex manual tracking and optimization efforts.
Solution Approach 2:
The system changes parameters such as incentive type, value, and timing based on analyzed player behavior patterns. By adjusting these parameters dynamically according to predicted termination causation events, the system optimizes session extension while managing complexity through data-driven decision making.
3Reliability
If gaming systems analyze cumulative gaming history to predict termination events, then incentive effectiveness is improved, but data processing requirements increase
Solution Approach 1:
The system extracts key patterns and causal factors from extensive player gaming history data. By identifying and isolating specific termination causation events and their associated patterns, the system reduces the complexity of processing entire gaming histories while maintaining prediction accuracy.
Solution Approach 2:
The system processes only the necessary portions of gaming history data relevant to predicting termination events, rather than analyzing every detail of every gaming session. This selective data processing approach maintains reliable predictions while reducing overall data processing requirements.
Data Source
AI summary
Various embodiments of the present disclosure provide a gaming system and method providing one or more incentives to delay termination of a gaming session. In general, for a player, the gaming system utilizes gaming session data collected from the player's previous gaming sessions to determine one or more termination causation events for the player. When a designated number of the termination causation events occur during a current gaming session of the player, the gaming system provides an incentive to the player, wherein the incentive is configured to cause the player to delay expected termination of the player's current gaming session. In certain embodiments, the gaming system optimizes an incentive available to be provided to a player based on the effectiveness of prior incentives provided to the player.


