Online Conference User Behavior Classification

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Solution Overview

Problem

Existing online conferencing tools are unable to automatically manage behaviors such as frequent input, interrupting, and reluctance in online conferences, leading to difficulties in effective communication and idea sharing among attendees.

Innovation Solution

A method that identifies user behavior in online conferencing applications, classifies users as aggressive or acquiescent contributors, and performs functions such as notifications or muting to address these behaviors, thereby promoting balanced participation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If online conferencing tools allow free participation from all attendees, then communication freedom and idea sharing are improved, but conversation-dominating behaviors and interruptions increase

Engineering Contradiction:

Improvecommunication freedomVSAvoidconversation-dominating behaviors

Core Design Contradiction:

Adaptability or versatilityVSObject-generated harmful factors

Solution Approach 1:

The system continuously monitors user behavior patterns during conferences (such as speaking frequency, interruption detection, and participation balance) and provides real-time feedback through notifications to both dominant and quiet participants, enabling dynamic adjustment of behavior to maintain balanced communication

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically changes communication parameters such as muting status and notification priorities based on detected behavior patterns, automatically adjusting who can speak when and how interruptions are managed to optimize conversation flow

Inventive Principle:

Principle #35Parameter changes

2Reliability

If manual moderation is used to manage user behavior, then communication quality is improved, but time consumption and operational complexity increase

Engineering Contradiction:

Improvecommunication qualityVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables automatic self-regulation of participant behavior through AI-driven monitoring and notification mechanisms that identify and address problematic behaviors without requiring external moderator intervention, allowing the conference to manage itself

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

An automated intermediary system acts as a bridge between participants and moderation functions, detecting behavior patterns and executing appropriate responses (such as notifications or muting) without requiring direct human moderator involvement in each interaction

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated behavior management is implemented, then time efficiency and productivity are improved, but system complexity increases

Engineering Contradiction:

Improvetime efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The conferencing system integrates multiple functions including behavior monitoring, pattern recognition, notification delivery, and automatic muting controls within a single unified platform, allowing one system to handle diverse moderation tasks without requiring separate specialized tools

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11343291B2Online conference user behavior

Publication Date: 2022.05.24 LENOVO SWITZERLAND INTERNATIONAL GMBH

AI summary

One embodiment provides a method, including: identifying, using a processor, a behavior of a user in a conferencing application; classifying, based on the identified behavior, the user as an aggressive contributor or an acquiescent contributor; and performing, based on the classification, a function. Other aspects are described and claimed.