On-Device Performance Indicator for Mobile Applications
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Solution Overview
Problem
Users are unaware of the performance characteristics of mobile applications before launching them, leading to varying user experiences due to changes in network connectivity, processing capacity, and memory availability, which can result in unexpected application performance.
Innovation Solution
A system that assesses performance characteristics of applications by determining performance data for parameters like network connectivity, CPU usage, memory, and battery usage, and provides graphical or textual indicators on the device to inform users of expected performance levels before launching the application, allowing them to make informed decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides detailed performance indicators for applications, then user awareness of performance characteristics improves, but device complexity increases
Solution Approach 1:
The system segments performance information into distinct categories (network connectivity, CPU usage, memory availability, battery usage) and presents them as separate indicators. This allows comprehensive performance information to be provided without overwhelming the user interface or increasing perceived complexity, as each parameter is evaluated and displayed independently.
Solution Approach 2:
The system performs performance assessments before the user launches an application, proactively gathering and analyzing performance data across multiple parameters. This preliminary evaluation provides users with performance indicators in advance, eliminating the need for complex real-time monitoring during application execution and reducing overall system complexity.
2Measurement precision
If the system monitors multiple performance parameters, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system performs all performance parameter measurements and evaluations before the user attempts to launch an application. By conducting network connectivity checks, CPU usage assessments, memory availability evaluations, and battery usage monitoring in advance, the system provides precise performance information without causing delays during the actual application launch process.
Solution Approach 2:
The system automatically monitors and evaluates all performance parameters without requiring user intervention or manual checks. The performance assessment mechanism operates autonomously, continuously gathering data from multiple sources and synthesizing performance indicators, thereby eliminating time loss associated with manual performance verification while maintaining high measurement precision.
3Ease of operation
If applications are sorted by performance data, then ease of operation improves, but device complexity increases
Solution Approach 1:
The system uses visual indicators such as color-coded icons or performance badges to represent different performance levels of applications. Applications with optimal performance across multiple parameters are highlighted with distinctive visual markers, enabling users to quickly identify and select high-performance applications without complex sorting interfaces or manual comparison processes.
Data Source
AI summary
Systems, devices, methods, and computer-readable media are discussed herein for assessing performance characteristics of an application executable on a user device and providing an on-device indication of the performance characteristics prior to the application being launched. The on-device indication may take the form of a graphical indicator that provides a user with an indication of the level of performance to expect from the application after the application is launched. In this manner, a user may decide whether the expected level of performance of the application is acceptable to the user prior to actually launching the application.