Meeting Chat Interface for Real-Time Contextual Q&A
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Solution Overview
Problem
Conventional methods struggle to efficiently and accurately extract information from conversations and meetings, leading to information overload and missed participation due to time constraints and difficulty in following discussions.
Innovation Solution
A virtual participant system using AI to provide a chat interface that generates summaries and responses based on meeting content, allowing users to ask questions and engage with meeting information in real-time, leveraging computational models like large language models to process and generate contextually relevant answers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to extract information from conversations and meetings, then information extraction can be performed, but the extraction is inefficient and inaccurate leading to information overload
Solution Approach 1:
The patent introduces a virtual participant as an intermediary between meeting participants and meeting content. This virtual participant uses AI computational models to automatically extract, summarize, and present information from meeting content, eliminating the need for manual information extraction and reducing information overload while improving both accuracy and efficiency
Solution Approach 2:
The patent replaces manual mechanical methods of information extraction with automated AI-based computational models. The virtual participant uses natural language processing and generative AI to automatically analyze meeting content, transcribe conversations, and generate summaries, substituting human effort with intelligent automation that improves both speed and accuracy
2Loss of information
If individuals attend all meetings to access information, then complete information access is achieved, but time constraints and overlapping schedules prevent participation
Solution Approach 1:
The patent extracts essential information from meeting content and presents it through the virtual participant's chat interface. Users can access extracted meeting summaries, key points, and relevant information without attending the actual meeting, separating information access from time-consuming participation
Solution Approach 2:
The virtual participant creates AI-generated copies of meeting content in the form of summaries, transcriptions, and structured information. These copies provide complete information access without requiring users to invest the time to attend and process the original meeting content themselves
3Measurement precision
If individuals closely follow discussions at meetings, then detailed understanding is achieved, but it becomes challenging to keep up with all discussions
Solution Approach 1:
The virtual participant segments meeting content into manageable components including summaries, key points, action items, and topic-specific information. This segmentation allows users to access detailed understanding of specific aspects without needing to follow the entire continuous discussion, reducing the cognitive load and difficulty of keeping up with all discussions
Data Source
AI summary
Method, system, device, and non-transitory computer-readable medium for providing a chat interface. In some embodiments, the method includes: receiving a message associated with a meeting from the chat interface; receiving meeting content associated with the meeting; determining one or more meeting contexts in the meeting content based at least in part on the message; generating a message response using a computational model based at least in part on the one or more meeting contexts and the message; and presenting the message response on the chat interface.