Adaptive Game Selection from Player Configuration Preferences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gaming systems fail to accurately match player preferences for game configurations, leading to suboptimal gaming experiences.
Innovation Solution
A gaming system that determines and stores player game configuration preferences, allowing it to select, suggest, or provide games that closely match the player's preferences, and offers alternative options when exact matches are unavailable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the gaming system provides a limited set of pre-configured games, then the device complexity is reduced, but the adaptability to player preferences deteriorates
Solution Approach 1:
The gaming system dynamically determines player game configuration preferences through analysis of player data and game play patterns. The system continuously adapts game selections and configurations based on real-time player behavior, transitioning from static pre-configured games to dynamic, personalized game recommendations that evolve with player preferences.
Solution Approach 2:
The system changes multiple game configuration parameters simultaneously based on determined player preferences, including but not limited to game difficulty, payout structures, visual settings, and gameplay mechanics. This coordinated parameter adjustment enables the system to transform existing games into personalized configurations without requiring separate game versions for each preference profile.
2Adaptability or versatility
If the gaming system determines and stores player game configuration preferences, then the adaptability to player preferences is improved, but the device complexity increases
Solution Approach 1:
The system automatically determines player game configuration preferences by analyzing player data and game play patterns without requiring explicit player input or manual configuration. The system self-adjusts game selections and configurations based on inferred preferences, reducing the need for complex user interfaces while maintaining high adaptability.
Solution Approach 2:
The system continuously monitors player behavior, game performance metrics, and player feedback to refine and update game configuration preferences. This feedback loop enables the system to learn from player interactions and progressively improve its ability to match player preferences, using the collected data to adjust future game recommendations and configurations.
3Reliability
If the gaming system offers alternative games when exact preference matches are unavailable, then the player satisfaction is improved, but the device complexity increases
Solution Approach 1:
When an exact match for player preferences is unavailable, the system provides alternative games that partially satisfy the determined preferences rather than requiring a perfect match. This approach prioritizes player satisfaction and engagement over strict configuration accuracy, offering games that capture the essence of player preferences even when complete matching is not possible.
Data Source
AI summary
Gaming systems and methods configured to provide games based on obtained player game configuration preferences obtain determined player game configuration preference data, and select, suggest, and/or provide games for play by a player based on such player game configuration preference data for that player.