Ad-Hoc Trigger-Based Data Sharing Group Management
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Solution Overview
Problem
Current sharing applications do not allow for efficient automation of group creation and information sharing, particularly in scenarios like media sharing among multiple computing devices, which is tedious and requires multiple third-party applications.
Innovation Solution
A system and method for ad-hoc trigger-based data sharing that enables users to set and initiate data sharing groups, with automatic or semi-automatic triggers for joining or disconnecting devices, using sensors for proximity calculations, and allowing predefined information sharing types, including media files, via direct or proxy communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual media gathering from multiple computing devices is used, then data sharing can be achieved, but the process becomes tedious and difficult requiring multiple third party applications
Solution Approach 1:
The patent merges multiple third-party applications into a single integrated data sharing group system. By combining media gathering, trigger management, and data sharing functionalities into one unified platform, the system eliminates the need to switch between multiple applications, thereby improving ease of operation while reducing overall process complexity.
Solution Approach 2:
The system performs preliminary actions by pre-configuring triggers and sharing rules before data collection begins. Users set up automatic triggers and sharing parameters in advance, so that when media is collected from multiple devices, the sharing process executes automatically without requiring manual intervention during the actual gathering process.
2Extent of automation
If automatic triggers are implemented for device joining and disconnecting, then automation level increases, but system complexity increases
Solution Approach 1:
The system implements self-service automation where triggers automatically detect and respond to device joining and disconnecting events without requiring manual configuration for each event. The trigger mechanism serves itself by monitoring sensor data and communication signals, automatically enrolling or disenrolling devices based on pre-set conditions, thereby achieving high automation with minimal additional complexity.
3Measurement precision
If sensor information is used for proximity-based triggering, then automatic device detection improves, but energy consumption increases
Solution Approach 1:
The system employs periodic sensing rather than continuous monitoring. Sensors are activated at intervals to detect device proximity and trigger data sharing events. This periodic action maintains measurement precision for automatic device detection while significantly reducing energy consumption compared to continuous sensor operation.
Data Source
AI summary
Systems and methods for an application allowing a user to set and initiate data sharing group; allowing user to set automatic or semi-automatic trigger for allowing other computing devices to join and disconnect from the group; wherein said computing device receive and send predefined type of information, automatically, semi-automatically or manually to other computing devices in said group.