Multimedia Question Management via Confidence Scoring
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Solution Overview
Problem
Existing web conferencing systems lack the ability to automatically and accurately respond to user questions during multimedia presentations, as they do not effectively analyze the content to provide immediate answers.
Innovation Solution
A system and method that monitors user questions, identifies the core concept, analyzes multimedia content to determine if it contains a possible answer, assigns a confidence score to relevant segments, and automatically generates and presents the answer based on the score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If web conferencing systems present multimedia content to users, then information delivery capability is improved, but the ability to automatically respond to user questions deteriorates
Solution Approach 1:
The patent introduces an intermediary system comprising a question processing engine, content indexing service, and confidence scoring mechanism. This intermediary automatically analyzes user questions, searches multimedia content for relevant segments, evaluates answer quality through confidence scoring, and presents potential answers to the presenter for validation. This intermediary layer enables automatic question response capability while preserving the multimedia presentation functionality.
2Ease of operation
If the system analyzes multimedia content to answer questions in real-time, then user engagement is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-processing and indexing multimedia content before presentations begin. The content indexing service creates structured representations of presentation content, including topic identification, key concept extraction, and segment organization. This pre-processing enables rapid retrieval and matching during live presentations, reducing real-time processing requirements and maintaining fast response times while improving user engagement through immediate question answering.
3Productivity
If the system automatically generates answers without manual validation, then response speed is improved, but answer accuracy deteriorates
Solution Approach 1:
The patent implements feedback through confidence scoring and presenter validation mechanisms. The question processing engine generates confidence scores for potential answers based on relevance matching and content analysis. These confidence scores provide feedback to the presenter, who can then validate or correct the suggested answers. This feedback loop maintains high response speed by providing immediate suggestions while ensuring answer accuracy through human verification of high-confidence matches.
Data Source
AI summary
Multimedia content is presented to a user. Questions presented by the user are monitored. A core concept of the question can be identified. The multimedia content can be analyzed to determine whether the multimedia content contains a possible answer to the question. If the multimedia content contains a possible answer to the question, a confidence score can be assigned to at least one segment of the multimedia content that covers the at least one possible answer, the confidence score assigned to the segment of the multimedia content indicating a probability that the segment of the multimedia content answers the question. Based on the confidence score assigned to segment of the multimedia content, the segment of the multimedia content can be selected. Based on the selected segment of the multimedia content, an answer to the question presented by the user can be automatically generated and presented to the user.