Game Engine Segmentation for Bandwidth Optimization
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Solution Overview
Problem
Current game distribution and updating mechanisms require frequent installation and compilation of game applications on mobile devices, leading to high bandwidth and resource usage, and lack efficient customization options for different player groups.
Innovation Solution
A system where a compiled game engine is persistently installed on a client device, with game configuration values, such as game rules and interactive content, provided as non-compiled data for customization, allowing for targeted and automated generation and updating of game content based on player models and behavior analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If game applications are frequently installed and compiled on mobile devices, then game content can be updated and customized, but bandwidth and resource usage increase significantly
Solution Approach 1:
The game application is divided into a persistent compiled game engine and separate non-compiled configuration data. The engine remains installed on the device while configuration data (game rules, interactive content, levels) is updated separately and downloaded only when changes occur, avoiding full reinstallation and reducing bandwidth consumption.
Solution Approach 2:
The game engine is pre-compiled and persistently installed on the client device before gameplay begins. This preliminary action eliminates the need for frequent compilation and installation of the entire game application, allowing only lightweight configuration updates to be transmitted subsequently.
2Adaptability or versatility
If traditional game distribution mechanisms are used, then games can be deployed to devices, but efficient customization options for different player groups are lacking
Solution Approach 1:
Configuration data is customized for specific player groups or individuals through localized modifications to game rules, interactive content, and level parameters. Each player or group receives tailored configuration values that adapt the game experience to their preferences and behaviors without requiring separate game installations.
Solution Approach 2:
The system enables customization by modifying configuration parameters (game rules, content, levels) rather than changing the core game engine. These parameter changes are transmitted as non-compiled data, allowing flexible adaptation to different player groups while maintaining system simplicity.
3Adaptability or versatility
If manual customization of game content is performed, then player experiences can be tailored, but labor costs increase significantly
Solution Approach 1:
The system automatically generates and transmits customized configuration data based on player models and behavior analysis. The game server performs self-service customization by computing appropriate configuration values for different player groups and delivering them automatically, eliminating manual intervention and reducing labor costs.
Solution Approach 2:
The system uses player behavior data and models to automatically adjust and optimize configuration parameters. This feedback loop enables the system to learn from player interactions and automatically tailor game experiences, replacing manual customization efforts with automated, data-driven adjustments.
Data Source
AI summary
A game management system is configured for automated analysis of player behavior regarding traversal of different screens and options in a game application (as opposed to exclusively gameplay behavior) and to generate an automated estimation or inference about one or more psychological aspects of player behavior, such as motivation for game engagement and/or emotional states at different stages of interaction. The results of such analysis are automatically parametrized and included in a multidimensional parametric player model that informs player clustering and/or automated customization of game content.