Meeting Visualizer Automatic Interactive Visualization Generation
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Solution Overview
Problem
Many online meeting participants are unaware of the ability to add interactive content, unsure how to set it up, or find it cumbersome, leading to a need for improved systems and methods to assist in creating interactive content during online meetings.
Innovation Solution
A data processing system that detects trigger conditions during online communication sessions, selects appropriate visualization layouts, constructs prompts for language models, and generates interactive visualizations for presentation on client devices, allowing participants to collaborate and make changes in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If interactive content is added to online meetings to increase participant engagement, then participant engagement and information retention are improved, but the complexity of setting up and operating the meeting increases
Solution Approach 1:
The system automatically generates interactive visualizations by monitoring meeting content and autonomously creating relevant visual elements without requiring manual setup by participants. The system detects trigger conditions, selects appropriate visualization types, and generates content automatically, allowing the meeting platform to serve itself rather than requiring user configuration.
Solution Approach 2:
The system performs preliminary analysis of meeting content and pre-generates visualization templates before they are needed during the meeting. By continuously monitoring the meeting and having visualization ready in advance based on detected trigger conditions, the system eliminates the need for participants to manually set up interactive content during the meeting.
2Ease of operation
If automatic generation of interactive visualizations is implemented, then ease of operation is improved, but computational resources required are increased
Solution Approach 1:
The system applies partial action by selectively generating visualizations only when specific trigger conditions are detected during the meeting, rather than continuously processing all meeting content. This approach generates sufficient interactive content to improve engagement without the excessive computational overhead of analyzing every aspect of the meeting.
Solution Approach 2:
The system segments the meeting content analysis into distinct modules: trigger condition detection, content analysis, visualization type selection, and generation. This segmentation allows the system to process only relevant portions of the meeting content that warrant interactive visualization, reducing overall computational resource consumption.
Data Source
AI summary
A data processing system implements techniques for automatically generating visualizations of content for meetings on an online communications platform. The visualizations are interactive and encourage participant engagement. The system automatically generates the visualizations based on a transcript of the meeting and other information associated with the meeting as the meeting is taking place. The system determines a meeting category based on this information and suggests a visualization layout based on the meeting category. The system then automatically generates the visualization using a generative language model. The generative language model generates interactive visualization based on the suggested visualization layout and transcript of the meeting and other information associated with the meeting as the meeting. The interactive visualization is then presented to the participants of the online communication session via the online communications platform to enable the participants to collaborate on the interactive visualization.