Social Grouping for Electronic Game Players
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Solution Overview
Problem
Existing electronic game platforms lack effective methods to identify and connect players based on their participation, actions, and interests, limiting enhanced game experiences and communication among players, developers, and administrators.
Innovation Solution
A computer-implemented method that identifies individuals who have participated in electronic games and associates them with social networking groups based on various criteria such as participation frequency, actions taken, elite status, geographical location, and social affinities, allowing for targeted communication and content dissemination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If players are connected through general social networking platforms, then communication among players is enabled, but the relevance and targeting of player connections and content delivery is insufficient
Solution Approach 1:
The system segments players into distinct social networking groups based on their game participation characteristics, actions, and interests. This segmentation enables targeted communication and content delivery to specific player segments rather than treating all players uniformly, thereby improving relevance without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary identification and classification of players into social networking groups before communication occurs. By pre-segmenting players based on their gaming behavior, actions, and preferences, the system prepares the groundwork for relevant content delivery and targeted communication, resolving the contradiction between relevance and complexity.
2Ease of operation
If all players are included in a single social networking group, then communication is simplified, but targeted communication and content dissemination to specific player segments becomes difficult
Solution Approach 1:
The social networking group structure serves multiple functions simultaneously: it provides a universal communication platform for all players while maintaining internal segmentation for targeted communication. The system can communicate with the entire player base through the group structure while also delivering targeted content to specific segments, eliminating the need to choose between simplicity and segmentation.
3Measurement precision
If the system tracks detailed player actions and participation metrics, then player identification and targeting becomes accurate, but the complexity and computational requirements increase
Solution Approach 1:
The system extracts only the most relevant player characteristics and actions needed for social networking group classification, rather than tracking all possible player metrics. By selecting and extracting key identification factors such as participation frequency, specific actions, and interests, the system achieves accurate player identification without the complexity of comprehensive tracking.
4Manufacturing precision
If social networking groups are created for every possible player segment, then targeting precision is maximized, but the number of groups and system complexity becomes unmanageable
Solution Approach 1:
The system creates social networking groups for the most significant player segments rather than attempting to create groups for every possible segmentation. By focusing on creating groups for key player categories that represent the majority of communication and content delivery needs, the system achieves high targeting precision for the most important segments while maintaining manageable system complexity.
Data Source
AI summary
A method, computer program product, and system is described. A plurality of individuals who have participated in an electronic game are identified. A social networking group associated with participation in the electronic game is identified. The plurality of individuals is associated with the social networking group.