Private Communication Feedback via Isolated Speaker Signals
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Solution Overview
Problem
Existing communication skills training tools lack the ability to provide real-time or asynchronous feedback during multi-user meetings or live events without violating privacy laws, leading to users avoiding their use and hindering skill development.
Innovation Solution
A system that isolates the target user's communication signals from non-target users, allowing for real-time or asynchronous feedback on verbal, non-verbal, and vocal content using a single player listening algorithm, which analyzes and generates personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication skills training tools record or track user communication during multi-user meetings or live events, then real-time or asynchronous feedback can be provided to improve communication skills, but privacy laws are violated requiring consent from all attendees
Solution Approach 1:
The system extracts and isolates the target user's communication signals from the multi-user audio environment using single player listening algorithms. This extraction allows the system to focus analysis solely on the target user without requiring consent from other attendees, thereby providing communication feedback while complying with privacy laws.
Solution Approach 2:
The patent introduces an intermediary processing layer that uses signal processing algorithms to separate the target user's voice from other participants. This intermediary mechanism enables selective analysis of the target user's communication patterns without capturing or analyzing other attendees' communications, resolving the privacy conflict.
2Productivity
If conventional communication skills coaching tools are used during multi-user meetings, then real-time feedback is available, but all attendees must provide consent which most people avoid obtaining
Solution Approach 1:
The system extracts only the target user's communication signals from the meeting audio stream, eliminating the need to obtain consent from other attendees. This extraction approach allows the tool to operate unobtrusively during multi-user meetings while maintaining productivity in communication skills improvement.
Solution Approach 2:
The system enables the target user to receive communication feedback during meetings without requiring them to perform the cumbersome task of obtaining consent from all attendees. The automated signal isolation and analysis provides self-service capability that eliminates this operational barrier.
3Loss of time
If communication feedback is provided during live events without consent, then skill development occurs in real-time, but legal and ethical concerns arise
Solution Approach 1:
The system extracts and analyzes only the target user's communication signals during live events, enabling real-time skill development feedback without capturing other attendees' communications. This selective extraction ensures legal compliance while maintaining timely skill development.
Solution Approach 2:
An intermediary signal processing system acts as a mediator between the live event audio and the feedback mechanism. This intermediary layer ensures that only the target user's communications are analyzed in real-time, providing both timely feedback and legal reliability.
Data Source
AI summary
The disclosed communication skills training tool identifies and analyzes target user data from a multi-user collaboration tool or a live event to provide communication skills training feedback to a target user. The target user is identified based on target user characteristics in the received signal from the multi-user collaboration tool or an input at the live event. A target user performs in a communication event with multiple users on a multi-user collaboration tool or a live event. A signal that includes data from the target user and excludes data from the other users is analyzed to determine feedback appropriate for the target user. That analyzed data is output either in real-time or asynchronously via post-event review.