Question Answering System for Dynamic Presentation Adaptation
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Solution Overview
Problem
Recorded training sessions lack interaction and dynamic content adaptation, as they cannot react to audience queries or adjust to changing audience interest, leading to ineffective knowledge delivery.
Innovation Solution
A question answering (QA) system that clusters user questions, determines topic clusters, and generates feedback to update presentation content in real-time, providing enriched assistance to both live and recorded presentations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If recorded training sessions are used to reduce costs and increase accessibility, then productivity and accessibility are improved, but interaction and dynamic content adaptation are lost
Solution Approach 1:
The system implements feedback by collecting questions from users during presentation delivery, analyzing these questions through clustering algorithms to identify topic patterns, and using this information to generate feedback that updates presentation content in real-time, thereby restoring adaptability to recorded sessions
Solution Approach 2:
The system transforms static recorded presentations into dynamic content by enabling real-time updates based on audience questions. The presentation content is no longer fixed but adapts dynamically as questions are received, processed, and incorporated into updated content versions
2Loss of information
If static help files are provided for recorded sessions, then information availability is improved, but user engagement and knowledge attainment deteriorate
Solution Approach 1:
The system enables self-service by automatically analyzing user questions, clustering them by topic, generating relevant updates, and delivering updated presentation content without requiring manual intervention from instructors or content creators, thus maintaining information accessibility while dramatically improving engagement
3Adaptability or versatility
If a question answering system collects and processes user questions in real-time, then interaction and content adaptability are improved, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining question collection, natural language processing, question clustering, topic determination, feedback generation, and presentation content update capabilities into a single integrated platform, reducing the need for multiple separate systems
Data Source
AI summary
A mechanism is provided in a data processing system for presentation delivery. The mechanism delivering a presentation content to a group of users and receives a plurality of questions concerning the presentation content from the group of users. The mechanism stores the plurality of questions in a question history database and clusters the plurality of questions in the question history database into one or more question clusters. The mechanism determines a topic for each of the one or more question clusters to form one or more question topics and generates feedback for updating the presentation content based on the one or more question topics.