Voice Communication Analysis for Automatic In-Call Content Sharing
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Solution Overview
Problem
Users conversing on mobile devices face inefficiencies in sharing content, such as contact information or images, due to cumbersome interface operations, often requiring interruptions to access different services.
Innovation Solution
A system that analyzes voice communications to identify content requests or offers, correlates them with user accounts, and automatically executes the sharing of relevant content without user intervention, using natural language processing and network communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually access different services to share content during conversation, then content sharing functionality is achieved, but conversation continuity 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 sharing requests before users need to manually intervene. This allows the system to automatically execute sharing operations without interrupting the conversation flow.
Solution Approach 2:
The system enables self-service by automatically detecting content sharing needs from voice analysis, identifying relevant content, and executing the sharing process without requiring user intervention. The system serves itself by handling the entire content sharing workflow autonomously based on voice command analysis.
2Manufacturing precision
If users focus on manual content sharing tasks, then content is shared accurately, but conversation engagement decreases
Solution Approach 1:
The system acts as an intermediary between the user's voice expression and the content sharing execution. It analyzes voice communications to understand user intent, automatically identifies appropriate content, and handles the sharing process, thereby maintaining both accuracy and conversation efficiency.
Solution Approach 2:
The system replaces the mechanical manual operations of content sharing with automated voice analysis and processing. Instead of manually navigating interfaces and selecting content, the system uses voice command analysis to automatically identify and share relevant content, improving both accuracy and efficiency.
3Adaptability or versatility
If manual interface operations are required for content sharing, then user control is maintained, but device complexity increases
Solution Approach 1:
The system provides multi-functionality by handling both voice communication analysis and content sharing operations through a single integrated process. This universal approach eliminates the need for separate manual interface operations for different tasks, reducing perceived device complexity while maintaining user control through voice commands.
Data Source
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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.