Personalized Leaderboard Segmentation for Game Engagement
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Solution Overview
Problem
Traditional leaderboards in online games are static and do not account for individual user characteristics, leading to a lack of engagement and retention as players feel less motivated to continue playing.
Innovation Solution
Implementing personalized leaderboards that are determined based on user and game parameters, allowing users to see their progress relative to specific groups, encouraging continued play by recognizing achievements and offering incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional static leaderboards are used to show overall game scores, then the leaderboard structure is simple and easy to implement, but user engagement and retention deteriorate because players feel less motivated to continue playing
Solution Approach 1:
The patent segments the single static leaderboard into multiple dynamic leaderboards categorized by different game parameters (e.g., exploration, combat, crafting) and user skill levels. This allows players to see themselves competing against others with similar abilities, making the leaderboard more engaging while maintaining manageable complexity through systematic categorization.
Solution Approach 2:
The patent transforms the static leaderboard into a dynamic system that automatically adjusts based on player performance, skill level, and game parameter changes. Leaderboards are continuously updated to reflect current player standings in different categories, creating ongoing motivation for players to improve their rankings across multiple dimensions rather than a single fixed hierarchy.
2Productivity
If personalized leaderboards are implemented based on user and game parameters, then user engagement and retention improve, but the system complexity and computational requirements increase
Solution Approach 1:
The patent applies local quality by tailoring leaderboard content to individual player characteristics, skill levels, and preferred game parameters. Each player receives a customized leaderboard view that highlights categories relevant to their play style and current abilities, making the system feel personalized without requiring complete customization of the entire leaderboard infrastructure.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting leaderboard criteria based on player progression, skill level, and performance metrics. As players improve in specific game parameters, the system automatically adjusts which leaderboards are displayed and how rankings are calculated, allowing personalized engagement while using algorithmic rules to manage system complexity.
3Productivity
If multiple leaderboards are provided for different game parameters and user groups, then user motivation and engagement improve, but the information overload and interface complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-categorizing players into skill levels and interest groups before they encounter the leaderboards. The system proactively selects and displays the most relevant leaderboard categories based on player profile and historical behavior, so users are immediately presented with personalized, relevant content rather than overwhelming them with all possible categories at once.
Solution Approach 2:
The patent adds another dimension to the leaderboard interface by organizing multiple leaderboards across different categorical dimensions (skill level, game parameter, time period) rather than presenting them as a single flat list. This multi-dimensional organization allows players to navigate through relevant categories systematically, reducing information overload while maintaining comprehensive engagement opportunities.
Data Source
AI summary
An approach to facilitate providing personalized leaderboards based upon user parameters, game parameters or a combination thereof. The personalized leaderboard determined by identifying a group of users (i) to which the first user belongs, and (ii) among which performance in the online game by the first user as characterized by the first set of game parameter values is relatively high. Providing leaderboards where the user features relatively high incentivizes the user to continue playing the game to continue progressing toward the top of the leaderboard, improving player retention.