Application Context Unifier for Cross-App Intent Actions
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Solution Overview
Problem
Users often need to re-input context or content across multiple applications when switching between them, leading to inefficiencies in maintaining contextual data.
Innovation Solution
An application context unifier manages contextual application actions by determining relationships between application states and content, identifying user intent, and suggesting or performing automatic actions based on these matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually re-input context across multiple applications, then information accuracy is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing context information from the first application before the user needs to switch applications. The context unifier proactively retrieves relevant data (messages, attachments, conversation state) and prepares it for transfer, so when the user opens the second application, the context is already available, eliminating the need for re-input.
Solution Approach 2:
The context unifier acts as an intermediary layer between multiple applications. It intercepts context data from the first application, processes and standardizes it, then delivers the relevant context to the second application. This mediator approach enables seamless context transfer without requiring direct integration between applications or user intervention for data re-entry.
2Reliability
If manual context re-input is performed, then data accuracy is ensured, but user productivity decreases
Solution Approach 1:
The system creates copies of context information from the source application and transfers these copies to the destination application. Instead of requiring users to re-type or re-enter data, the context unifier automatically copies relevant information (conversation history, file references, meeting details) and delivers it to the next application, maintaining data accuracy while dramatically improving productivity.
Solution Approach 2:
The context transfer process is automated to serve itself without user intervention. The context unifier independently identifies what context needs to be transferred, retrieves it from the first application, determines the appropriate destination application, and executes the transfer automatically. This self-service mechanism eliminates manual re-input operations while ensuring data accuracy through systematic context capture and delivery.
3Productivity
If context is automatically transferred between applications, then user efficiency improves, but system complexity increases
Solution Approach 1:
The context unifier is designed as a universal system that can handle multiple types of applications and context data formats through a single integrated platform. It implements multi-functional capabilities to capture, process, and transfer various kinds of context information (messaging data, file references, application state) across different application types, reducing the need for application-specific customization and lowering overall system complexity.
Solution Approach 2:
By positioning the context unifier as an intermediary layer, the system avoids the complexity of direct point-to-point integration between every pair of applications. The mediator approach centralizes the context transfer logic in one component, simplifying the overall architecture while enabling efficient context transfer across multiple applications through a standardized interface.
Data Source
AI summary
In one aspect, for each open application, obtain a current application state and an application content; determine one or more relationships between the application state and the application content; use the one or more relationships between the application state and the application content to determine a user intent; for a currently used application, determine a match between an application function and the user intent; and suggest an automatic action for the application function based on the match between an application function and the user intent.