Histogram-Based Mobile Device Activity Control
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Solution Overview
Problem
The complexity of controlling and retrieving data from diverse mobile devices across different networks and locations poses challenges for implementing user activity-based applications, making it cost-ineffective to provide enhanced services.
Innovation Solution
A system and method that utilize a server with activity detection logic and a digital histogram to track user activities, enabling applications to adjust mobile device functionality based on historical patterns, allowing for better user experience and service customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system controls and retrieves data from diverse mobile devices across different networks and locations, then user activity-based applications can be implemented, but the complexity and cost-effectiveness deteriorate
Solution Approach 1:
The patent introduces a server as an intermediary component that mediates between diverse mobile devices and applications. The server receives data from multiple mobile devices across different networks, processes this data through activity detection logic, and delivers processed information back to applications. This intermediary approach centralizes the complexity management, allowing individual devices to remain simple while the system as a whole achieves high adaptability for user activity-based services.
2Adaptability or versatility
If the system collects and processes user activity data from multiple mobile devices, then service customization improves, but the cost-effectiveness deteriorates
Solution Approach 1:
The patent merges the functions of data collection, activity detection, and service customization into a single server-based system. Instead of having each mobile device independently process and customize services, the system combines these functions centrally, allowing efficient resource utilization. The server aggregates data from multiple devices, processes it through unified activity detection logic, and delivers customized services, thereby improving cost-effectiveness through economies of scale and reduced redundancy.
3Ease of operation
If the system determines location and status of mobile devices to control functionality, then user experience improves, but the complexity of data retrieval and control increases
Solution Approach 1:
The server acts as an intermediary that handles the complex tasks of determining device location and status, and controlling device functionality. Mobile devices simply provide their status information to the server, which then processes this information and returns appropriate control instructions. This separation of concerns keeps individual devices simple while enabling sophisticated user experience through centralized intelligence.
Solution Approach 2:
The system implements feedback loops where the server continuously monitors mobile device status, compares it against predefined criteria, and adjusts device functionality accordingly. This feedback mechanism enables dynamic user experience optimization without requiring complex local processing on devices, as the intelligence resides in the server that receives status information and returns appropriate control commands.
Data Source
AI summary
A communication network and software for its implementation that controls a mobile device based on historical user activity is provided. The mobile device communicates with a server and includes a function that is dependent on the user activity. The server senses the user activity over time and produces a histogram of that activity. The rate at which the server attempts to sense the user activity depends on the histogram. An application might change the function depending on the result of detecting the user activity and the rate at which it does so.