Multimedia Entertainment System Startup Screen Configuration
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Solution Overview
Problem
Multimedia entertainment systems often require users to scroll through a full library of games to find their desired game, especially in shared households with varying user interests, leading to inefficiencies and delays in accessing preferred games due to differing interests among family members and individual preferences.
Innovation Solution
A method that configures the start-up display screen by analyzing time-related usage data to prioritize and pre-load resources and settings for applications most likely to be played, incorporating factors like network connectivity and user behavior, to provide quick and efficient access to preferred games.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the start-up display screen shows the full library of games, then users can access any game, but users experience delays in locating desired games due to scrolling through the entire library
Solution Approach 1:
The system performs preliminary actions by pre-loading resources for predicted games during system startup before the user actually selects them. This includes loading game assets, configuring settings, and preparing execution environments in advance based on prediction algorithms that analyze user behavior patterns, thereby eliminating wait time when users do select these predicted games.
Solution Approach 2:
The start-up display dynamically reconfigures itself based on real-time user behavior analysis and prediction algorithms. Instead of a static full library view, the system adapts the display to show prioritized games based on predicted user intent, adjusting the interface layout and game selection order dynamically to match anticipated user needs.
2Productivity
If the system waits for user selection before loading game resources, then all game resources can be loaded on demand, but users experience delays waiting for resources to load after selecting a game
Solution Approach 1:
The system performs resource loading in advance during system startup based on predicted user behavior. Resources for predicted games are pre-loaded into memory and execution environments are configured beforehand, so when users select these predicted games, the launch occurs immediately without resource loading delays.
Solution Approach 2:
The system loads resources partially or fully in advance for only the predicted games rather than all games. This selective pre-loading approach balances memory usage with launch speed, loading sufficient resources ahead of time for the most likely games while avoiding the overhead of pre-loading everything.
3Adaptability or versatility
If manual configuration of system settings is required for each game, then settings can be optimized for each game, but users experience delays in manually configuring settings to fit preferences
Solution Approach 1:
The system automatically performs settings configuration without requiring manual user input. Prediction algorithms analyze user behavior patterns and automatically configure appropriate settings for predicted games, including controller mappings, audio preferences, and display settings, thereby eliminating manual configuration time while maintaining personalized optimization.
Solution Approach 2:
System settings are configured in advance for predicted games during the startup phase. The system anticipates which games the user will play and pre-configures all necessary settings, control mappings, and preferences before the user actually launches these games, eliminating the need for real-time configuration.
4Ease of operation
If the start-up screen displays recently played games for all users, then quick access is provided for individual users, but shared household members with different interests still need to scroll through the full library
Solution Approach 1:
The start-up display dynamically adapts its content based on detected user identity and real-time behavior analysis. When a user logs in or interacts with the system, the display reconfigures to show games predicted for that specific user, automatically switching between different user profiles and their respective game preferences without requiring manual intervention.
Solution Approach 2:
The system continuously monitors user behavior patterns, selection preferences, and play habits to refine its predictions. This feedback loop allows the system to learn from user interactions and progressively improve the accuracy of game predictions, ensuring that the start-up display increasingly reflects each user's actual preferences over time.
Data Source
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AI summary
A method for configuring a start-up display screen of a multimedia entertainment system, the method comprising: storing time related reference usage data of each application from a plurality of applications configured to run on the multimedia entertainment system; comparing the reference usage data of each application with a current system start up time to identify at least one identified application based on the reference data; and configuring the start-up display screen based on said identified at least one application.