Wagering Game Player Profiling via Aesthetic Image Selection
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Solution Overview
Problem
Current wagering game systems face challenges in accurately determining player preferences for games, as they often require players to explicitly state their interests or play multiple games to find favorites, which can be cumbersome and uninteresting, leading to discouragement.
Innovation Solution
A system that presents a series of images with differing themes to players, allowing them to select preferences, with metadata analysis to infer and generate a player profile, suggesting games that match their aesthetic preferences, thereby automating the player profiling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If players are asked to explicitly state their interests or play multiple games to find favorites, then player preferences can be determined, but the process becomes cumbersome and uninteresting, leading to player discouragement
Solution Approach 1:
The system automatically generates player profiles by analyzing gameplay data without requiring players to manually input preferences. The profiling system serves itself by collecting data from normal game play and automatically inferring preferences, eliminating the need for players to complete surveys or explicitly state their interests.
Solution Approach 2:
The patent replaces manual preference collection mechanisms (surveys, player input forms) with an automated data analysis system that monitors gameplay patterns, betting behavior, and game selection to infer preferences algorithmically.
2Measurement precision
If players are asked to play multiple games to find favorites, then accurate player preferences can be determined, but the process becomes time-consuming and discouraging
Solution Approach 1:
The system performs preliminary profiling by analyzing initial gameplay data to generate player profiles quickly, rather than requiring players to extensively sample multiple games. The profiling occurs in the background during normal play, preparing personalized content recommendations before players need them.
Solution Approach 2:
The automated system continuously collects and analyzes gameplay data in real-time, generating and updating player profiles without requiring dedicated time from players for preference collection activities.
3Adaptability or versatility
If the system presents multiple games for players to choose from, then players can find games matching their interests, but without accurate player profiles, recommendations are ineffective
Solution Approach 1:
The system continuously monitors player responses to recommended games and uses this feedback to refine and update player profiles. By analyzing which games players actually play and how long they engage with them, the system improves the accuracy of preference determination over time, creating a virtuous cycle of personalized recommendation.
Solution Approach 2:
Player profiles are not static but dynamically updated based on ongoing gameplay data and evolving player preferences. The system adapts to changing player interests by continuously analyzing new gameplay patterns and adjusting recommendations accordingly.
Data Source
AI summary
Described herein are processes and devices that automatically generate a player profile. One of the devices described is a wagering game system. The wagering game system can present a plurality of pictures on a wagering game machine, kiosk, or other network device. The plurality of pictures includes aesthetic content. The wagering game system can receive player input indicating a preference for the aesthetic content of at least one of the plurality of pictures. The wagering game system can generate a wagering game player profile to store player preferences associated with wagering games and wagering game machines. The wagering game system can assign values to the player preferences based on the preference for the aesthetic content.