Real-Time Meeting Summarization via Cognitive System
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Solution Overview
Problem
Attendees in online meetings face difficulties in accessing previous presentation content, leading to confusion and inconvenience when they miss or misunderstand current discussions, as existing collaborative software only allows viewing of the current screen or slide without easy access to previous content.
Innovation Solution
Implementing a cognitive system that uses machine learning to generate real-time summaries of meeting content, allowing attendees to view a customized mini-presentation with text slides and providing a user interface with a smart scrollbar for easy navigation and keyword searching, enabling efficient catch-up on missed content and context for questions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing collaborative software only allows viewing of current screen or slide, then device complexity is reduced, but attendees cannot access previous presentation content leading to confusion and inconvenience
Solution Approach 1:
The presentation content is segmented into individual slides, each becoming an independent accessible unit. The scrollbar is divided into multiple sections corresponding to different topics, allowing attendees to selectively access specific slides without reviewing the entire presentation sequence.
Solution Approach 2:
A cognitive system acts as an intermediary between the presentation content and the attendee. This system automatically generates summaries, identifies key topics, and creates navigational structures (smart scrollbar) that mediate the access to previous content, making it intuitive and context-aware.
2Reliability
If attendees can access all previous presentation content, then understanding of ongoing discussions is improved, but time to review content increases
Solution Approach 1:
The cognitive system extracts only the essential information from the full presentation content, generating condensed summaries and identifying key topics. This extraction process filters out redundant information while preserving critical content needed for understanding ongoing discussions.
Solution Approach 2:
The system performs preliminary analysis of presentation content in advance, automatically organizing it into topic sections and pre-generating the smart scrollbar structure. This preliminary organization enables attendees to quickly navigate to relevant content without manually searching through the entire presentation.
3Productivity
If real-time summary generation is implemented, then attendee engagement is improved, but processing resources are consumed
Solution Approach 1:
Instead of processing every single slide and word in detail, the cognitive system applies partial action by focusing on generating summaries only for relevant topics and sections. It processes content selectively based on identified topics and attendee needs rather than uniformly processing the entire presentation.
Data Source
AI summary
Real-time summarization of an online meeting is accomplished using a cognitive system that analyzes meeting content and generates a mini-presentation, i.e., a small number of slides that condense more extensive details. The summary allows an attendee to easily and quickly review portions of the meeting that were missed, while the meeting is still ongoing. The cognitive system can customize the summary for the attendee based on the attendee's role or information in the meeting content which has previously been presented to the attendee. A user interface has a special scrollbar divided into multiple sections corresponding to different topics of the summary. The presentation window can switch from current content to previous content when the attendee selects a particular section. A feedback mechanism may also be used to assist the presenter with future presentations, based on subjects raised in audience interaction that were topics of the meeting.