Conversation Velocity Emotional Engagement Detection

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Solution Overview

Problem

Moderators in group conversations, such as chat rooms and forums, face challenges in monitoring multiple discussions simultaneously and identifying emotional shifts among participants, as existing systems rely on manual voting and are prone to manipulation by bots, lacking real-time emotional engagement analysis.

Innovation Solution

A computer-implemented system that analyzes conversation velocity and user emotions through cognitive analysis, facial recognition, and physical data to detect when conversation velocity exceeds a threshold, providing moderators with real-time aggregated emotional summaries and alerts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If moderators manually monitor multiple group conversations, then they can identify emotional shifts and maintain control, but the workload increases and real-time detection becomes difficult

Engineering Contradiction:

Improveemotional engagement detection accuracyVSAvoidmoderation response time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual moderation (mechanical human effort) with an automated computer-based system that uses natural language processing, sentiment analysis, and emotion detection algorithms to monitor conversations, thereby eliminating the time loss associated with manual review while maintaining or improving detection accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary automated moderation layer between users and human moderators, where the computer-based system pre-processes and filters conversations, detecting emotional shifts and generating alerts only when intervention is needed, thus reducing the time burden on human moderators while preserving accurate emotional detection

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If existing systems use manual voting for emotional analysis, then implementation is simple, but the results are prone to manipulation by bots and lack reliability

Engineering Contradiction:

Improvesystem implementation simplicityVSAvoidemotional analysis reliability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The patent replaces manual voting mechanisms with automated natural language processing and sentiment analysis systems that objectively analyze conversation content, eliminating the reliability issues of bot manipulation while maintaining implementation feasibility through standard computational techniques

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses cognitive analysis to create accurate representations (copies) of user emotions based on text, facial recognition, and physical data, providing a more reliable emotional analysis that cannot be easily manipulated compared to simple voting systems

Inventive Principle:

Principle #26Copying

3Speed

If the system monitors all conversations continuously, then real-time emotional engagement is detected, but the complexity of the system increases

Engineering Contradiction:

Improvereal-time detection speedVSAvoidmonitoring system complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system implements partial monitoring by focusing computational resources on detecting specific emotional thresholds and conversation velocity changes rather than analyzing every aspect of all conversations equally, achieving real-time detection while managing system complexity through selective analysis

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent segments the monitoring system into modular components (conversation velocity analysis, sentiment detection, emotion aggregation, alert generation) that can process information in parallel, enabling real-time performance while keeping individual component complexity manageable

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11188718B2Collective emotional engagement detection in group conversations

Publication Date: 2021.11.30 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A collective emotional engagement detection arrangement is provided for determining emotions of users in group conversations. A computer-implemented method includes determining a first conversation velocity of communications through conversation channels over a first time period for a group discussion between user computers; determining that a conversation velocity of the communications has increased to a second conversation velocity of communications which exceeds a predetermined threshold, and has remained above the predetermined threshold for at least a second time period; determining, aggregated emotions of the users during the second time period; and providing an output to a moderator of the group discussion indicating that the second conversation velocity of the communications has exceeded the predetermined threshold for at least the second time period, and indicating the aggregated emotions of the users during the second time period.