Conferencing System Real-Time Reaction Analysis

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Solution Overview

Problem

Existing conferencing systems lack the ability to effectively collect and analyze real-time feedback from participants, such as emotional and factual reactions, to enhance the conferencing experience.

Innovation Solution

A conferencing system that captures time-dependent input data from participants using capturing devices, analyzes this data along with user profiles using a computer-based model, and generates classifier scores for reaction classifiers, which are then transmitted to other users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real-time data collection and analysis is implemented to improve feedback quality, then the system complexity increases

Engineering Contradiction:

Improvefeedback qualityVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary processing system that acts as a mediator between data collection devices and the conferencing platform. This intermediary automatically analyzes collected data (audio, video, text) and generates feedback scores, reducing the complexity burden on the main conferencing system while maintaining high measurement precision through specialized analysis algorithms.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the feedback generation process into distinct modular components: data collection module, data analysis module, scoring module, and feedback transmission module. Each component handles a specific aspect of the feedback pipeline, making the overall complex system manageable through functional decomposition and independent optimization of each segment.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If multiple data types are collected from participants to enhance analysis accuracy, then the quantity of data increases

Engineering Contradiction:

Improveanalysis accuracyVSAvoiddata quantity

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the most relevant features and characteristics from the collected multi-type data (audio, video, text) rather than processing all raw data. For example, it extracts facial expression features from video, tone features from audio, and sentiment features from text, reducing the data quantity to be analyzed while maintaining high analysis accuracy through feature selection.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system implements partial action by focusing analysis on key moments and significant participant reactions rather than continuously analyzing all participant data throughout the entire conference. It applies excessive action by collecting more data types than strictly necessary but using intelligent filtering to process only the most informative portions, balancing data quantity with analysis accuracy.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250028957A1Systems and methods for recognizing user information

Publication Date: 2025.01.23 RINGCENTRAL INC

AI summary

A conferencing system is configured, for an interval of time, to receive time-dependent input data from a first user, the time-dependent input data obtained via a capturing device. The conferencing system is configured to receive profile data for the first user, analyze the time-dependent input data and the profile data for the first user using a computer-based model to obtain at least one classifier score for a classifier of a reaction of the first user, and transmit the at least one classifier score for the classifier to a second user.