Timestamped Audience Feedback Interface for Content Tailoring

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Solution Overview

Problem

Content creators lack an efficient tool to solicit, receive, and analyze feedback during the content creation process, which hinders their ability to tailor their work to audience preferences.

Innovation Solution

A software-based tool that enables content creators to upload content, select recipients, set feedback parameters, and receive timestamped feedback through an online platform, which aggregates and analyzes feedback to generate suggestions for improvement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If content creators manually collect feedback from audience members, then they can obtain audience opinions, but the process is time-consuming and inefficient

Engineering Contradiction:
Improvefeedback collection efficiencyVSAvoidtime for feedback collection
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system implements automated feedback collection where audience members use mobile devices to provide real-time feedback during content playback. The feedback is automatically transmitted to the content creator's device, eliminating manual collection processes and significantly improving efficiency while reducing time investment.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent replaces manual feedback collection mechanisms with an automated electronic system. Mobile devices capture feedback data, transmit it through communication networks, and display it on the content creator's device, substituting mechanical/manual processes with automated electronic operations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If content creators analyze feedback from multiple audience members, then they can understand audience preferences, but the analysis process becomes complex and difficult

Engineering Contradiction:
Improveaudience preference understandingVSAvoidfeedback analysis complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system automatically processes and analyzes feedback data without requiring manual intervention from the content creator. The mobile device receives feedback from multiple audience members, automatically compiles the data, and presents organized results to the content creator, making the analysis process self-service and reducing complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent combines multiple feedback inputs from different audience members into a unified analysis on the content creator's device. The system merges individual feedback responses, identifies common themes and preferences, and presents consolidated insights, simplifying the analysis of multiple data sources.

Inventive Principle:
Principle #5Merging (Combining)

3Manufacturing precision

If content creators tailor content to audience preferences, then content quality improves, but the process lacks systematic guidance without efficient feedback tools

Engineering Contradiction:
Improvecontent tailoring precisionVSAvoidcontent creation process ease
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system provides real-time feedback from audience members directly to the content creator during the content creation process. This enables creators to systematically understand audience preferences and make precise adjustments to their content based on actual audience responses, improving tailoring precision while maintaining ease of operation through automated feedback delivery.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12585697B2Interactive content feedback system
Publication Date: 2026.03.24 MCKENZIE TRENT R
  • US12585697B2 patent drawing
  • US12585697B2 patent drawing
  • US12585697B2 patent drawing

AI summary

This invention is directed to a tool that enables content creators to collect and analyze feedback on their content during production and live performances. During playback of content, users are enabled to provide detailed feedback and comments via various feedback interfaces on user devices. Users may indicate that they like and dislike certain aspects of the content, such as musical instruments featured in a song, at specific points in time. Feedback is timestamped, transformed into values, and aggregated for review and analysis. Using machine learning techniques, the present invention can identify trends in audience preferences and generate recommendations for tailoring content and content delivery. An interactive display enables the content creator to efficiently manipulate and make sense of collected feedback. With robust security features, the interactive content feedback system described herein may integrate with content streaming platforms as well as operate as an independent application.