Dynamic Game Customization via Platform Account Prediction
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Solution Overview
Problem
Users of online games often find it difficult to discover and engage with game activities that align with their preferences, as they are not classified into player types until after significant gameplay, leading to inconsistent usage.
Innovation Solution
A system that dynamically adjusts game settings during account creation based on user type predictions, using server-side modules to customize user interfaces, content availability, and virtual item packages, directing users to preferred gameplay experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are not classified into player types until after significant gameplay, then the classification accuracy may be improved, but user engagement and retention deteriorate due to difficulty in discovering preferred activities
Solution Approach 1:
The system performs preliminary classification of users into player types during account creation by analyzing platform account information before the user begins gameplay. This allows the game to be customized in advance according to the user's predicted preferences, enabling immediate engagement with preferred activities rather than requiring significant gameplay to discover them.
Solution Approach 2:
The system uses platform account information as an intermediary to infer user preferences and classify players before gameplay begins. By analyzing existing platform account data, the system can predict user behavior patterns and customize the game experience without requiring extensive initial gameplay to establish classification accuracy.
2Measurement precision
If users are not classified into player types until after significant gameplay, then the classification may be more accurate, but user retention deteriorates due to inconsistent usage patterns
Solution Approach 1:
The system performs preliminary classification of users into player types during account creation by analyzing platform account information before the user begins gameplay. This allows the game to be customized in advance according to the user's predicted preferences, ensuring consistent engagement with preferred activities from the start rather than requiring significant gameplay to establish classification accuracy.
3Adaptability or versatility
If the game provides all activities and features to all users, then the game's versatility is improved, but users have difficulty finding and engaging with their preferred activities
Solution Approach 1:
The system applies local quality by customizing the game experience according to each user's classified player type. Different user types receive different customizations in terms of user interface, content availability, and virtual item packages. This allows the game to maintain overall versatility while providing localized, personalized experiences that make it easy for each user to find and engage with their preferred activities.
Solution Approach 2:
The system performs preliminary classification of users into player types during account creation by analyzing platform account information before the user begins gameplay. This allows the game to be customized in advance according to the user's predicted preferences, directing users to their preferred gameplay experiences from the start rather than requiring them to discover activities independently.
Data Source
AI summary
This disclosure relates to a system and methodology for dynamically adjusting a game based on predictions made during game account creation in accordance with one or more implementations. The system may be configured to receive user information included in platform level accounts which were previously created by users on an online platform. The system may be configured such that creation of a first game level account for a first user of an online game includes receiving user information from a first platform level user account which was previously created by the first user on an online platform and using this user information to determine in-game customizations predicted to be desirable for a user.