API Context Capture for Ambiguous Command Interpretation
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Solution Overview
Problem
Integrating third-party applications with device-specific features, such as voice recognition and natural language processing, is complicated due to their own proprietary APIs, leading to information loss and poor performance during API communications.
Innovation Solution
Supplementing API requests with unconventional data, such as user interface context, to enhance interpretation and response customization, including capturing and transmitting images of the user interface to improve command interpretation and feature retention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party applications use their own proprietary APIs, then the applications can maintain their own functionality and features, but information is lost during API communications and performance deteriorates
Solution Approach 1:
The system segments the API communication into multiple components: the original API request from the third-party application, and supplemental context information (UI state, device state, application state) that is separately captured and transmitted. This segmentation allows the context information to be preserved and transmitted alongside the application request without modifying the application's proprietary API structure.
Solution Approach 2:
The system introduces an intermediary component that captures context information from the device environment and supplements the API requests. This intermediary acts as a mediator between the third-party application and the processing system, adding contextual data without requiring modifications to the application's proprietary API logic.
2Adaptability or versatility
If third-party applications use their own proprietary APIs, then the applications can maintain their own functionality, but integration with device-specific features becomes complicated
Solution Approach 1:
The system employs self-service mechanisms where context information is automatically captured from the device environment through hooks and event listeners. This automatic capture eliminates the need for manual integration work between third-party applications and device-specific features, reducing integration complexity while preserving application functionality.
Solution Approach 2:
An intermediary layer is introduced that automatically bridges third-party applications with device-specific features. This intermediary captures relevant context information and makes it available to the processing system, eliminating the need for complex direct integration between applications and device features.
3Ease of operation
If conventional API calls include only specific inputs, then the API communication remains simple, but ambiguous commands cannot be properly interpreted and features are lost
Solution Approach 1:
The system performs preliminary action by capturing context information (UI state, device state, application state) before the API request is processed. This pre-captured context is then attached to the API request, enabling accurate interpretation of ambiguous commands without complicating the API communication structure.
Solution Approach 2:
The system adds another dimension to the API communication by including context information from the device environment alongside the original input data. This dimensional expansion provides additional information for interpreting ambiguous commands while maintaining the simplicity of the original API interface.
Data Source
AI summary
Method and systems for facilitating communications using application programming interfaces (“APIs”) by interpreting a received command based on the command and an image of the user interface that was displayed on a display screen when the command was received.