Server-Based Game Mechanic Suggestions From Aggregated Player Data
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Solution Overview
Problem
The user experience in video games varies significantly across different games and platforms, lacking commonality in functionalities such as game play help and activity suggestions, which hinders a unified and improved gaming experience.
Innovation Solution
A server-based video game platform collects and processes event data from multiple users to identify impactful mechanics for activity completion, providing personalized and customized help tips across different games and devices, including graphical and audio-visual content, while maintaining game development independence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a server-based platform collects and processes event data from multiple users to identify impactful mechanics, then the accuracy of mechanic suggestions is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
A server-based platform acts as an intermediary between multiple video game systems and users. The platform collects event data from various games, processes it to identify impactful mechanics, and provides standardized suggestions back to users. This intermediary approach enables centralized data analysis without requiring each individual game system to implement complex analysis logic, thereby improving suggestion accuracy while managing system complexity through separation of concerns.
2Ease of operation
If standardized help functionalities are implemented across different video games, then the commonality of user experience is improved, but the adaptability to specific game mechanics may be reduced
Solution Approach 1:
The system implements a universal help functionality that works across multiple video games by identifying and suggesting mechanics based on standardized event data. The server-based platform processes data from various game sources and provides通用的 help suggestions that can be applied across different game titles and platforms, creating a common user experience while maintaining adaptability through data-driven mechanic identification.
Solution Approach 2:
The system adapts standardized help functionalities to specific game contexts by dynamically adjusting parameters based on processed event data. The server analyzes game-specific mechanics and modifies the presentation and content of help suggestions to match the particular game being played, thereby maintaining both standardization across games and adaptability to specific game mechanics through parameter adjustment.
3Loss of information
If help information is presented through multiple formats (text, graphical animation, video, audio), then the completeness of information is improved, but the device complexity and resource requirements increase
Solution Approach 1:
The system dynamically selects and presents help information in multiple formats (text, graphical animation, video, audio) based on user context, game state, and available resources. Rather than statically providing all formats simultaneously, the system adapts the presentation format dynamically, providing comprehensive information while managing device complexity through conditional rendering and format selection based on current system state and user needs.
Data Source
AI summary
Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data indicating completion of the activity. The identifier can be predefined in program code of the video game. The identifier and completion data can be received based on an execution of the program code. The event data is processed to determine a video game mechanic suggestion to help a player complete the activity.