Gaming Quality Indicator Based on Performance Metrics
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Solution Overview
Problem
Gamers face challenges in determining and optimizing the quality of their gaming environment, which affects their experience, as existing solutions do not effectively assess and present the performance metrics of computing and network resources in real-time, especially when playing online games across different locations.
Innovation Solution
A method and apparatus that measure and compare performance metrics such as processor resource availability, network speed, and environmental factors against desirable gaming profiles, providing a quality indicator and recommendations for optimal gaming locations based on these assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gamers play online games in various locations using portable devices, then gaming accessibility and convenience are improved, but the ability to determine and optimize gaming environment quality deteriorates
Solution Approach 1:
The system enables self-service by having the gaming device automatically perform performance metric measurements and quality level determinations without requiring external intervention. The device monitors its own computing environment and network conditions, then presents quality indicators to the gamer, allowing independent assessment of gaming environment quality at any location.
Solution Approach 2:
The system implements feedback by continuously measuring performance metrics, comparing them against desirable thresholds, and presenting quality indicators back to the gamer. This closed-loop feedback mechanism enables gamers to understand their current gaming environment quality and make informed decisions about location selection or system optimization.
2Measurement precision
If real-time performance metric measurements are implemented across multiple gaming locations, then gaming environment quality assessment is improved, but system complexity and resource requirements worsen
Solution Approach 1:
The system segments the gaming environment assessment into distinct performance metric categories (processor availability, network speed, etc.), each measured and evaluated separately. This modular approach allows comprehensive quality assessment while maintaining manageable system complexity through organized, independent measurement modules.
Solution Approach 2:
The system performs measurements of specific performance metrics that are most critical to gaming quality, rather than attempting to measure all possible environmental factors. By focusing on key metrics such as processor resource availability and network speed, the system achieves effective quality assessment without excessive measurement overhead.
Data Source
AI summary
A method for indicating a pre-game environment quality level may include, for example, obtaining a profile associated with a video game, where the profile comprises desirable performance metrics for initiating the video game, performing performance metric measurements in collaboration with a computing device from which the video game is to be played, comparing the performance metric measurements to the desirable performance metrics, determining a discrepancy between the performance metric measurements and the desirable performance metrics, determining a gaming quality level according to the determined discrepancy, and presenting at the computing device a quality indicator based on the determined quality level. The presenting can further include graphically displaying the quality indicator and the discrepancy. Other embodiments are disclosed.