Real-Time Voice Request Detection for Automated Content Sharing
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Solution Overview
Problem
Users conversing on mobile devices face cumbersome processes when sharing content, such as contacts or images, due to limited interfaces, requiring interruptions to access different services.
Innovation Solution
A system that electronically processes voice communications to identify content requests or offers, correlates them with user accounts, and automates the execution of these requests without user intervention, using natural language processing and voice recognition to share content via text, email, or social media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually access different services to share content during conversation, then content sharing can be completed, but conversation flow is interrupted and time is lost
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and analyzing voice communications in real-time, pre-identifying content requests before users need to manually intervene. This allows the system to automatically execute sharing tasks without interrupting the conversation flow.
Solution Approach 2:
The system enables self-service by automatically detecting content requests, identifying relevant content, and executing sharing actions without requiring user intervention. The automated voice communication analysis system serves itself by processing requests and completing sharing tasks autonomously.
2Ease of operation
If users manually find and select content to share, then accurate content can be shared, but the process becomes complex and time-consuming
Solution Approach 1:
The system replaces the mechanical manual operation of navigating interfaces, searching for content, and selecting files with an automated voice-based system. Users simply speak their sharing intent, and the system automatically processes the request, eliminating the need for complex manual interface interactions.
Solution Approach 2:
The voice communication analysis system acts as an intermediary between the user's sharing intent and the content sharing execution. It translates natural language requests into automated actions, bridging the gap between simple user input and complex sharing operations without requiring users to directly interact with complex interfaces.
3Productivity
If the system automatically processes voice communications to identify content requests, then sharing efficiency improves, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating voice communication analysis, content request identification, content search, and sharing execution into a single unified platform. This universal system handles multiple tasks that would otherwise require separate applications or manual operations, justifying the increased complexity through enhanced productivity.
Data Source
AI summary
A method of detecting establishment of a voice communication between a first voice communication equipment and a second voice communication equipment and automating requests for content. The method includes analyzing the voice communication to identify a request for content, analyzing the voice communication to identify an affirmative response to the request for content, and correlating the request for content with a first user account and correlating the affirmative response with a second user account. In response to identifying the affirmative response and based upon at least one of the first user account or the second user account, identifying from a data storage, the requested content and causing the transmission of the requested content.