Contextual Knowledge Retrieval for Uncertainty in Online Meetings
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Solution Overview
Problem
In organizational settings, knowledge retention and retrieval during online communication sessions are challenging, leading to redundancy, misinformation, and suboptimal outcomes due to human memory limitations and communication inefficiencies, which can prolong meetings and require additional sessions.
Innovation Solution
A system that monitors online communication sessions for uncertainty cues, performs contextual searches in an organizational knowledge base, and provides relevant search results to participants, leveraging machine learning and large language models to enhance decision-making and knowledge dissemination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human participants rely on memory and discussion to retrieve information during online communication sessions, then the system remains simple and easy to operate, but knowledge retrieval becomes inefficient leading to redundancy and suboptimal outcomes
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between participants and the organizational knowledge base. This assistant automatically detects uncertainty cues, performs contextual searches, and delivers relevant information during communication sessions, eliminating the need for participants to manually search for information while resolving the contradiction between improved productivity and system complexity
Solution Approach 2:
The system performs self-service by automatically monitoring communication sessions for uncertainty cues and initiating contextual searches without requiring participant intervention. The AI assistant autonomously manages the information retrieval process, improving knowledge retrieval efficiency while maintaining ease of operation for users
2Loss of time
If participants manually search for information during communication sessions, then the system remains simple, but time is lost and meeting duration increases
Solution Approach 1:
The AI assistant performs preliminary actions by continuously monitoring communication sessions for uncertainty cues before participants need to search for information. When uncertainty is detected, the system proactively initiates contextual searches and delivers information before participants would otherwise need to manually search, eliminating time loss
Solution Approach 2:
The system maintains continuous operation by monitoring communication sessions in real-time and continuously providing relevant information as it becomes available. This continuous useful action eliminates interruptions and waiting periods associated with manual information search, reducing overall meeting duration
3Reliability
If additional communication sessions are scheduled to retrieve unavailable information, then complete information can be obtained, but productivity decreases and more time is consumed
Solution Approach 1:
The AI assistant serves as an intermediary that bridges the gap between participants and the organizational knowledge base, enabling information retrieval within the same communication session rather than requiring additional sessions. This maintains information reliability while preserving meeting efficiency
Solution Approach 2:
The system performs multiple functions within a single communication session: monitoring for uncertainty cues, performing contextual searches across the knowledge base, and delivering relevant information. This multi-functionality eliminates the need for separate information retrieval sessions while maintaining complete information availability
Data Source
AI summary
A request for information from a participant of a plurality of participants in a communication session is identified. In response to the request for information, it is determined that an uncertainty level among the plurality of participants is above a threshold level. A search is performed for the information based on identifying that the uncertainty level is above the threshold level, and one or more search results associated with the information is displayed to the plurality of participants.