Document Linking System for Presentation Source Recall
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Solution Overview
Problem
During presentations, presenters face challenges in efficiently locating and accessing additional sources to answer audience questions without disrupting the flow, often leading to rushed conclusions or distraction from main topics.
Innovation Solution
A document linking system that analyzes content using NLP, sentiment analysis, tone analysis, and visual recognition to associate relevant sources with a document, storing them for rapid recall, and identifies the relevant section of the document to launch linked sources in response to audience questions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the presenter locates and launches additional sources to answer audience questions, then the audience's understanding is improved, but the flow of the presentation is disrupted
Solution Approach 1:
The system performs preliminary actions by automatically analyzing sources and linking them to document sections during document creation. This advance preparation allows the presenter to quickly access relevant sources during Q&A without disrupting the presentation flow, as the linking work has already been done beforehand.
Solution Approach 2:
The system introduces an intermediary mechanism (automatic source-linking system) that bridges the presenter and additional information. This intermediary handles the complex task of analyzing and linking sources to document sections, allowing the presenter to simply follow the system's guidance during presentations without manually searching for sources.
2Reliability
If the presenter prepares additional sources ahead of time, then questions can be answered thoroughly, but the presenter may become distracted from main topics
Solution Approach 1:
The system performs self-service by automatically analyzing sources, determining their relevance to document sections, and creating the link structure without presenter intervention. During presentations, the system autonomously identifies relevant sources based on audience questions, allowing the presenter to maintain focus on main topics while the system handles source management.
Solution Approach 2:
The system uses feedback mechanisms to analyze audience questions in real-time and automatically retrieve relevant linked sources. This feedback loop allows the presenter to answer questions thoroughly without manually searching for sources, as the system provides real-time guidance based on the question asked.
3Loss of information
If manual source tracking is used, then sources can be recorded, but the location retrieval becomes difficult and time-consuming
Solution Approach 1:
The system replaces the manual mechanical process of tracking source locations with an automated computational system. The system uses NLP and visual recognition to automatically analyze sources, determine their relevance to document sections, and create structured links, eliminating the need for manual tracking and significantly reducing retrieval time during presentations.
Data Source
AI summary
A method, system, and computer program product are provided. During creating a document by a creation module, the content of the document is analyzed. Sources used while creating the document are analyzed using NLP, sentiment analysis, tone analysis, speech-to-text, and visual recognition. The sources are associated with a location in the document. Sources are filtered out based on a degree of correlation to the document. Sources are linked to the document where a correlation is found between the document and the sources. The linked sources are stored in a database for recall. During a presentation of the document, upon receiving a question, the question is analyzed to determine a relevant logical section of the document, and the relevant sources are retrieved.