Virtual Meeting Transcript AI for Automatic Content Sharing
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Solution Overview
Problem
Existing virtual meeting platforms require participants to manually perform actions outside the meeting, which disrupts participation, leads to missed discussions, or risks forgetting to perform actions correctly.
Innovation Solution
Implementing an AI model that analyzes participant interest from meeting transcripts to automatically perform actions such as sharing content or scheduling meetings outside the virtual meeting interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If participants manually perform actions outside the virtual meeting interface, then actions can be completed, but participation is disrupted and meetings are missed
Solution Approach 1:
The system performs actions automatically without requiring participant intervention. The AI model detects interest in content and the system autonomously shares content or schedules meetings, allowing participants to continue engaging in the meeting while actions are completed by the system itself
Solution Approach 2:
The system prepares and executes actions in advance based on detected interest. When a participant expresses interest in content during the meeting, the system proactively shares the content or schedules follow-up meetings before the participant needs to leave or forget about the action
2Ease of operation
If participants manually perform actions outside the virtual meeting interface, then actions can be completed, but resource consumption increases
Solution Approach 1:
The system performs actions automatically without requiring participant intervention. The AI model detects interest in content and the system autonomously shares content or schedules meetings, allowing participants to continue engaging in the meeting while actions are completed by the system itself
Solution Approach 2:
The patent replaces manual mechanical operations with automated AI-based systems. Instead of participants manually navigating to content or scheduling interfaces, the AI model processes transcripts and automatically executes actions, reducing the computational and temporal resources that would otherwise be consumed by manual operations
3Ease of operation
If participants manually perform actions outside the virtual meeting interface, then actions can be completed, but disruptions occur
Solution Approach 1:
The system performs actions automatically without requiring participant intervention. The AI model detects interest in content and the system autonomously shares content or schedules meetings, allowing participants to continue engaging in the meeting while actions are completed by the system itself
Solution Approach 2:
The AI model acts as an intermediary between the meeting transcript and action execution. It processes the transcript to detect interest, translates this into actionable requests, and coordinates the execution of actions without requiring participants to leave the meeting or interrupt the flow of discussion
Data Source
AI summary
A method includes causing a virtual meeting UI to be presented during a virtual meeting between one or more participants. The virtual meeting UI may include one or more first regions each corresponding to a participant of the one or more participants. The virtual meeting UI may include a second region corresponding to a presentation of content by a first participant. The method includes determining, using an AI model and using at least a first portion of a transcript of the virtual meeting as input to the AI model, that a second participant is interested in accessing the content outside of the virtual meeting UI. The method includes causing the content to be accessible to the second participant outside of the virtual meeting UI.