Question Answering System for Dynamic Presentation Content 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

VSEngineering Contradiction Analysis

1Adaptability or versatility

If recorded training sessions are used to reduce costs and increase accessibility, then knowledge delivery reach is improved, but interaction capability and dynamic content adaptation deteriorate

Engineering Contradiction:
Improvedynamic content adaptationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system collects user questions during presentation delivery, clusters them by topic, and uses this feedback to dynamically update presentation content. This feedback loop enables recorded presentations to adapt to audience needs in real-time, transforming static content into dynamically adjustable material based on actual user engagement and comprehension gaps.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The presentation system transitions from static pre-recorded content to dynamic content that can be modified during delivery. The system dynamically adjusts presentation content based on clustered question topics, allowing the same presentation to adapt its focus and depth according to real-time audience feedback without requiring complete re-recording.

Inventive Principle:
Principle #15Dynamics

2Productivity

If user questions are collected and analyzed in real-time to improve knowledge delivery, then interaction quality is improved, but processing time and computational resources increase

Engineering Contradiction:
Improveknowledge delivery efficiencyVSAvoidprocessing time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary clustering of user questions by topic during the presentation delivery. By organizing questions into topic clusters in advance, the system can efficiently determine which presentation content needs updating without analyzing each individual question separately, thereby reducing processing time while maintaining effective content adaptation.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If presentation content is updated dynamically based on user feedback, then content relevance is improved, but system complexity and implementation difficulty increase

Engineering Contradiction:
Improvecontent accuracyVSAvoidimplementation ease
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The system automatically updates presentation content based on clustered user questions without requiring manual intervention. The presentation delivery system self-adjusts by identifying topic clusters from user feedback and modifying content accordingly, reducing the need for complex manual content management while maintaining high content relevance and accuracy.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10083219B2Enhanced knowledge delivery and attainment using a question answering system
Publication Date: 2018.09.25 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10083219B2 patent drawing
  • US10083219B2 patent drawing
  • US10083219B2 patent drawing

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.