Context-Based Command Surfacing for Document Sharing
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Solution Overview
Problem
Current methods for locating and interacting with content across multiple devices are cumbersome, time-consuming, and prone to errors, especially on small screen devices like smartphones.
Innovation Solution
A context-based command architecture that receives user inputs, interprets them using contextual information, and generates relevant content for user interaction, including speech recognition and natural language understanding to surface commands and perform actions across various devices and platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user manually locates and shares documents across multiple devices, then the document can be shared with specific individuals, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system pre-identifies and surfaces relevant documents and recipients based on contextual information (meeting participants, recent communications, document metadata) before the user initiates the sharing action. This eliminates the need for manual searching and reduces errors by presenting pre-filtered options.
Solution Approach 2:
The patent introduces an intelligent intermediary system that acts as a mediator between the user and the document sharing process. This system automatically analyzes context, identifies relevant documents and recipients, and presents streamlined sharing options, thereby reducing both time and errors in the sharing process.
2Measurement precision
If a user browses through multiple files to locate relevant content, then the desired document can be found, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary analysis of user needs and context to pre-identify and surface relevant documents before the user begins searching. By anticipating the user's information needs based on meeting context, recent communications, and document metadata, the system eliminates manual browsing while maintaining high accuracy in content location.
Solution Approach 2:
The patent replaces the mechanical manual browsing process with an intelligent automated system that uses natural language processing, context analysis, and machine learning to identify and present relevant content. This substitution maintains measurement precision while dramatically improving ease of operation.
3Reliability
If a user manually identifies individuals and composes email messages for document sharing, then the document can be distributed to the correct recipients, but the process becomes complex and time-consuming
Solution Approach 1:
The system pre-identifies potential recipients based on meeting participant lists, communication history, and document collaboration metadata before the user initiates sharing. This preliminary action maintains high reliability in recipient identification while eliminating the need for manual recipient selection and email composition.
Solution Approach 2:
The patent implements a universal sharing interface that automatically handles multiple functions (recipient identification, email composition, document attachment) through a single streamlined interaction. This multi-functional approach maintains accuracy while reducing the perceived complexity for the user.
4Adaptability or versatility
If a computing system provides comprehensive command options, then the system can perform various functions, but the interface becomes complex and difficult to navigate
Solution Approach 1:
The patent segments the comprehensive command system into context-relevant categories and subsets based on the current meeting context, document type, and user role. This segmentation maintains the full versatility of the system while presenting only relevant commands to the user, thereby reducing interface complexity.
Solution Approach 2:
The system dynamically adapts the command interface by surfacing only the most relevant commands based on real-time context analysis, including meeting participants, document being viewed, and user behavior patterns. This dynamic approach maintains full system functionality while simplifying the immediate user interface to show only contextually relevant options.
Data Source
AI summary
A computing device receives a trigger to surface commands. A possible set of commands is identified and broken into categories. A category is surfaced for user interaction.


