Meeting Data Blocks Across Multiple Video Calls
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Solution Overview
Problem
Conventional collaboration systems fail to integrate video call data into collaborative platforms, leading to incomplete or inaccurate data management, inefficiency due to separate application navigation, and inflexibility in generating and analyzing transcripts.
Innovation Solution
A data block integration system using a large language model processes meeting data from multiple video calls to generate block content elements, integrating them into a dynamic virtual space, including summaries, action items, and deadlines, and updating data blocks across linked video calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional collaboration systems use separate applications for video call data and collaborative content, then they can maintain specialized functionality for each application type, but they require navigating across multiple applications which consumes excessive processing power and memory
Solution Approach 1:
The patent merges video call data processing and collaborative content management into a single integrated application. The system ingests video call data directly within the collaboration platform, eliminates the need for separate video call applications, and processes all data types (video transcripts, collaborative documents, spreadsheets) within one unified environment, thereby reducing the number of running applications and associated resource consumption
2Ease of operation
If conventional collaboration systems navigate across multiple applications to access video call data, then they can access specialized functionality, but they require excessive client device interactions which reduces efficiency
Solution Approach 1:
The system combines video call data access with collaborative content management in a single interface. Users can access video transcripts, generate summaries, and work with collaborative documents without navigating between applications, reducing the number of client device interactions and improving operational efficiency
3Device complexity
If conventional collaboration systems process video call data in isolation, then they can maintain simple processing logic, but they cannot generate comprehensive summaries that integrate information across multiple video calls and collaborative content
Solution Approach 1:
The system implements a universal processing framework that handles multiple data types (video call transcripts, collaborative documents, spreadsheets) through a single integrated process. The large language model can process and synthesize information from any combination of these sources to generate comprehensive summaries that capture information across multiple video calls and collaborative content types
4Stability of the object's composition
If conventional collaboration systems use rigid transcript generation, then they can maintain consistent output format, but they cannot adapt generated summaries to different collaborative platforms or contexts
Solution Approach 1:
The system implements dynamic transcript generation where the large language model adapts its output based on the target collaborative platform and context. The processing framework can adjust summary generation, formatting, and content selection to match different platform requirements while maintaining core functionality, enabling flexible integration across diverse collaborative environments
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating block content elements from meeting data of multiple video calls to add to data blocks of a virtual space. In particular, in one or more embodiments, the discloses systems utilize a large language model to process meeting data across multiple video calls and generate the block content elements for data blocks. For example, in some embodiments, the disclosed systems generate new block content elements based on detecting meeting data from additional video calls. Further, in one or more embodiments, the disclosed systems generate block content elements according to block type of a data block and extract meeting data to generate summaries, action items, document elements, or dates. Moreover, in some embodiments, the disclosed systems provide options and prompts to generate or update a virtual space using meeting date from video calls.