Self-Learning Application Launch System for Mobile Navigation
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Solution Overview
Problem
Users face significant time consumption and frustration when navigating through multiple display screens to access the desired task or function in computing system implemented applications, especially on mobile devices with limited processing power and memory.
Innovation Solution
A self-learning customized application launch system that monitors user activities and interaction data to determine specific use parameters, automatically alerting the user when necessary tasks need to be performed and directly taking them to the relevant interface within the application upon launch, bypassing unnecessary screens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional application launch method is used, then application can be opened, but user must navigate through multiple display screens consuming significant time
Solution Approach 1:
The system performs preliminary actions by monitoring user activities and analyzing usage patterns before the user needs to access specific functions. It pre-determines the user's likely needs based on historical data and prepares the application state in advance, so that upon launch, the user is automatically directed to the relevant interface without manual navigation through multiple screens.
2Ease of operation
If generic startup display screen is used, then application structure is simple, but user satisfaction decreases due to repeated navigation
Solution Approach 1:
The application serves itself by automatically monitoring its own usage patterns and user interactions. The system autonomously analyzes historical data, determines user preferences and frequently accessed functions, and self-adjusts the startup behavior to directly navigate to relevant interfaces, eliminating the need for manual user navigation while maintaining system manageability.
3Loss of energy
If multiple display screens are loaded, then all functions are accessible, but mobile device resources are wasted on unnecessary screens
Solution Approach 1:
The system applies local quality by customizing the application launch experience specifically for each user based on their individual usage patterns. Instead of uniformly loading all screens for all users, it selectively navigates to the specific interface screens that are locally relevant to each user's needs, thereby conserving mobile device resources while maintaining full functionality when required.
Data Source
AI summary
A method and system for self-learning customized application launch whereby a computing system implemented application is provided for use by a given user and the given user's activities and/or interaction with the computing system implemented application are monitored. Data representing the given user's activities and/or interaction with the computing system implemented application is then analyzed to determine one or more use parameters associated with, and/or unique to, the given user's use of the given computing system implemented application. The one or more use parameters are then used to alert the user of the potential need to access the given computing system implemented application to perform one or more specific tasks and/or functions using the given computing system implemented application and/or, upon launch of the given computing system implemented application, to take the user automatically to the interface display, page, or location within the given computing system implemented application the user will need to access to perform the specific tasks and/or functions.