User Context Data Sharing Platform for Cross-Device Interoperability
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Solution Overview
Problem
Users face difficulties in seamlessly transitioning tasks and contexts across different computing devices due to incompatibility among various technologies, applications, and platforms, leading to a lack of interoperability and forcing users to manually reconfigure applications and services.
Innovation Solution
A platform and API are introduced to store and retrieve user context data, enabling seamless sharing across devices, operating systems, and applications, using a cloud-based data store and access controller to manage permissions and access, allowing users to choose the best application for each task regardless of device or platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually transition tasks between devices, then device compatibility is maintained, but user time and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically syncing task context data to the cloud before device transitions occur. When a user switches devices, the context data is already available, eliminating the need for manual reconfiguration and saving user time.
Solution Approach 2:
A cloud-based intermediary service mediates between different devices and applications. This intermediary automatically transfers and reconciles context data across device boundaries, maintaining compatibility without requiring user intervention.
2Measurement precision
If users manually transition tasks between devices, then data accuracy is maintained, but operational complexity increases
Solution Approach 1:
The system enables self-service by automatically detecting device transitions and syncing context data without user intervention. The automated processes maintain data accuracy while eliminating the complexity of manual task management across devices.
Solution Approach 2:
The cloud-based intermediary automatically reconciles data between devices, ensuring accuracy through standardized data formats and validation protocols, while shielding users from operational complexity.
3Adaptability or versatility
If a cloud-based data store is implemented, then interoperability across devices improves, but system complexity increases
Solution Approach 1:
The cloud-based data store serves multiple functions: storing context data, syncing across devices, managing user profiles, and providing access control. This universal platform reduces overall system complexity by consolidating multiple functions into a single infrastructure.
Solution Approach 2:
The cloud-based data store acts as a universal intermediary between diverse devices and applications, providing standardized access protocols that simplify integration while enabling broad interoperability.
Data Source
AI summary
Technology for interoperability is disclosed by enabling the sharing of user context or preferences for a computing experience across computing devices, operating systems, applications, or locations. A platform and application programming interface (API) are provided for computer applications and services to store and retrieve context data associated with a computing experience. Access to the context data for sharing may be managed by an access controller, which enables a user to manage access permissions for the sharing of the context data. The context data may be defined according to a common schema, which specifies the information for sharing and may be communicated using common communication channels or protocols. Thus context data may be shared across nearly any application or service including those developed in different computer programming languages or operating on different types of computing devices or devices running different operating systems or by different software developers.