Geo-Location Application Launch and Preparation
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Solution Overview
Problem
Mobile computing systems face inefficiencies in resource usage due to the need for periodic data retrieval, which often results in unnecessary battery drain and network bandwidth usage, as users must choose between manual data fetching and automatic periodic updates, leading to wasted resources.
Innovation Solution
A method and system that automatically launch and prepare applications based on geo-location data, where the user's mobile device monitors its position and links activation data with location data, launching applications and preparing necessary data when the device approaches a defined proximity to a specific location, optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If automatic periodic data retrieval is implemented, then data availability is improved, but battery power and network bandwidth are wasted unnecessarily
Solution Approach 1:
The system performs preliminary actions by launching applications and retrieving data in advance based on predicted user behavior patterns and historical data, so that when the user actually needs the data, it is already prepared and available, eliminating the need for continuous periodic retrieval and reducing energy waste
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions, application usage patterns, and data access behaviors to continuously refine predictions about when data will be needed, allowing the system to optimize retrieval timing and avoid unnecessary energy consumption from irrelevant data fetching
2Use of energy by moving object
If manual data fetching is used, then battery power is conserved, but user time is lost waiting for application startup and data retrieval
Solution Approach 1:
The system performs preliminary actions by launching applications and retrieving data in advance based on predicted user behavior patterns and historical data, so that when the user actually needs the data, it is already prepared and available, eliminating the need for continuous periodic retrieval and reducing energy waste
3Loss of information
If periodic data retrieval is implemented, then data freshness is improved, but network bandwidth is wasted unnecessarily
Solution Approach 1:
The system performs preliminary actions by launching applications and retrieving data in advance based on predicted user behavior patterns and historical data, so that when the user actually needs the data, it is already prepared and available, eliminating the need for continuous periodic retrieval and reducing energy waste
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions, application usage patterns, and data access behaviors to continuously refine predictions about when data will be needed, allowing the system to optimize retrieval timing and avoid unnecessary energy consumption from irrelevant data fetching
Data Source
AI summary
A user mobile computing system is provided and geo-location data indicating the position of the user mobile computing system is monitored. When an application or feature is activated or used on the user mobile computing system, activation/use data indicating the application or feature activated and use location data indicating the position of the user mobile computing system at the time of the activation/use of the application or feature is obtained and linked, mapped, and/or otherwise associated with each other, and stored. When, and if, current geo-location data for the user mobile computing system later indicates the user mobile computing system is within a defined distance of the use location associated with the application or feature, the application or feature is automatically launched and any preparation required for use of the application or feature are performed so that the application or feature is ready for use when the user mobile computing system reaches the use location.


