Connector App Mediation for Secure Cross-App Data Sharing
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Solution Overview
Problem
Existing data sharing methods across devices and applications are inefficient and siloed, leading to inconveniences and inefficiencies, with users facing challenges in managing and controlling access to their data across different resources.
Innovation Solution
An enhanced connectivity platform utilizing a central handler server and a connector app that facilitates data sharing across devices and applications, enabling user-controlled storage and sharing of activity profiles through a cloud-based infrastructure, with background operators monitoring and logging user interactions to generate and manage data elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in a siloed manner relative to each application or functionality, then data security and application independence are maintained, but data sharing efficiency and user experience deteriorate
Solution Approach 1:
The patent segments data into structured activity profiles with specific data elements (preferences, behaviors, interactions) that can be independently managed and selectively shared. Each data element can be controlled separately through access parameters, allowing fine-grained data sharing without compromising overall security. This segmentation enables efficient data retrieval and sharing while maintaining security boundaries.
Solution Approach 2:
The patent introduces an intermediary layer (the connectivity platform and connector application) that mediates between siloed applications and data sources. This intermediary consolidates data from multiple applications into unified activity profiles while maintaining secure access controls, enabling efficient data sharing across applications without direct access to underlying data silos.
2Productivity
If a centralized data sharing system is implemented, then data sharing efficiency and accessibility are improved, but system complexity and data management overhead increase
Solution Approach 1:
The connector application serves multiple functions: it consolidates data from various applications, manages activity profiles, controls access permissions, and enables data sharing across different applications and devices. This multi-functional approach reduces the need for separate systems for each function, simplifying the overall architecture while maintaining efficient data sharing capabilities.
Solution Approach 2:
The system enables users to self-manage their data sharing preferences through the connector application's interface. Users can control which data elements are shared, with whom, and under what conditions, reducing the need for complex administrative overhead. The background operator automatically logs interactions and updates activity profiles without requiring manual intervention.
3Adaptability or versatility
If comprehensive user activity data is collected across applications, then personalized service and data utility are enhanced, but user privacy control and data security management become more difficult
Solution Approach 1:
The patent implements local quality control by allowing different access parameters for different data elements within activity profiles. Users can specify distinct sharing preferences for different types of data (e.g., location, preferences, browsing history) and different recipients (applications, devices, services). This granular control makes privacy management easier while enabling comprehensive data collection for personalization.
Solution Approach 2:
The access parameters and activity profiles are dynamic, allowing users to adjust their privacy preferences and data sharing settings over time. The system adapts to user needs by enabling flexible modification of which data elements are shared with which applications, making privacy control more intuitive and responsive to changing user requirements.
Data Source
AI summary
An enhanced connectivity computer platform includes a central handler communicatively coupled to a plurality of user computing devices and configured to maintain a cloud-based infrastructure for a connector application, a first instance of the connector application executed on a first user computing device and configured to cause display of a GUI on the first user computing device, and a background operator of the connector application executed on the first user computing device. The platform stores activity profiles for user, receives requests for data from the activity profiles, and facilitates permissioned access to the data.