Meeting Note Predictive Typing System
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Solution Overview
Problem
Conventional methods for taking notes during web conferences are distracting and result in verbose transcriptions, as they require manual typing or lengthy audio transcriptions that include extraneous discussion.
Innovation Solution
A computer-implemented method that provides electronic text recommendations to users based on content discussed during a conference, using predictive typing that derives words and phrases from both spoken and visual data, minimizing typing effort and distraction by outputting relevant suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual typing is used to document the conference, then the user can capture notes in real-time, but the typing process becomes distracting to both the typist and other attendees
Solution Approach 1:
The system automatically generates text recommendations by analyzing conference audio and visual content, allowing the note-taking process to serve itself without requiring continuous manual typing intervention from the user
Solution Approach 2:
The patent replaces the mechanical typing action with an automated text generation system that uses speech-to-text conversion and natural language processing to produce note recommendations, eliminating the need for manual keyboard input
2Loss of information
If electronic transcription is generated from the entire audio feed, then all conference content is captured, but the transcription becomes long and verbose with extraneous discussion
Solution Approach 1:
The system extracts only the most relevant terms and phrases from the full conference audio feed by analyzing frequency of occurrence, recency, and contextual importance, separating essential information from extraneous discussion
Solution Approach 2:
The patent changes the parameters of transcription by applying weighting factors to different audio segments based on their importance, transforming the raw transcription into a prioritized list of key terms and phrases rather than a verbatim transcript
3Manufacturing precision
If the user types extensively to document the conference accurately, then comprehensive notes are produced, but the time required for note-taking increases
Solution Approach 1:
The system performs preliminary analysis of the conference content during the meeting itself, pre-processing the audio and visual data to generate text recommendations that are ready for immediate use, eliminating the need for post-meeting transcription work
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between the conference audio and the final notes, using automated text generation and recommendation algorithms to translate spoken content into structured note formats without requiring direct manual typing
Data Source
AI summary
A computer-implemented technique provides electronic text recommendations to a user. The technique involves capturing content from a conference among multiple participants. The technique further involves receiving electronic typing input from the user while the user is typing to document the conference. The technique further involves outputting, in response to the electronic typing input from the user, electronic text recommendations to the user based on the captured content. Such recommendations can take the form of predictive typing for taking notes based on content shared during an online meeting. The words and/or phrases in the predictive typing may be derived from the words spoken and/or from visual data displayed during the conference. Accordingly, a user is able to document what is discussed with minimal typing and thus reduced distraction. Furthermore, the information that is documented can be made more on-point and less verbose than a lengthy transcription of an audio feed.