AI Game Set Switching for Personalized EGM Selection
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Solution Overview
Problem
Operators of gaming devices face challenges in effectively determining which games to include in a set for player presentation, as existing methods lack efficient strategies for game set selection.
Innovation Solution
A system utilizing artificial intelligence to determine recommended game sets based on external data, including player identification, environmental conditions, and game set feedback, enabling smart switching between game sets on gaming devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If operators manually select game sets for presentation to players, then they can control game availability, but the effectiveness of game set selection is difficult to optimize
Solution Approach 1:
The system enables self-service by implementing an AI-driven automated game set selection mechanism that independently analyzes player preferences, game performance data, and operational parameters to generate optimized game set recommendations, eliminating the need for manual operator intervention in selecting which games to present to players
Solution Approach 2:
The system incorporates feedback loops by continuously monitoring player behavior, game performance metrics, and set transition outcomes, using this data to refine and improve future game set selections through the AI model, thereby progressively enhancing selection effectiveness based on accumulated operational experience
2Adaptability or versatility
If multiple games are installed on gaming devices, then player choices increase, but determining which games to include in accessible sets becomes more difficult
Solution Approach 1:
The system applies segmentation by organizing the large library of installed games into smaller, curated game sets that are presented to players at different times or under different conditions, allowing the system to manage game variety through structured divisions rather than presenting all games simultaneously or requiring manual selection from the entire library
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting game set compositions based on varying conditions such as player profiles, time of day, game performance metrics, and operational priorities, allowing the AI to optimize which subset of games is presented by changing multiple parameters simultaneously rather than relying on static manual configurations
Data Source
AI summary
A gaming device includes a display device, an input device, a processor circuit, and a memory. The memory includes machine-readable instructions that, when executed by the processor circuit, cause the processor circuit to receive, by the processor circuit and via an operator processing circuit, identification corresponding to multiple game sets. Each of the game sets may include a subset of games. The processor circuit is caused to determine a recommended game set switch from a first game set to a second game set. The first and second game sets are on an electronic gaming machine (EGM) and the determining is performed using artificial intelligence that uses external data to identify the second game sets. The processor circuit is caused to transmit, to the EGM, an identification of the recommended game set switch.