Unknown Organization (20240296184). Interactive Content Feedback System simplified abstract
Contents
Interactive Content Feedback System
Organization Name
Inventor(s)
Trent R. Mckenzie of Charlotte NC (US)
Interactive Content Feedback System - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296184 titled 'Interactive Content Feedback System
Simplified Explanation: This invention is a tool that allows content creators to gather and analyze feedback on their content during production and live performances. Users can provide detailed feedback and comments on various aspects of the content through different interfaces on their devices. The feedback is timestamped, converted into values, and aggregated for analysis. Machine learning techniques are used to identify audience preferences and provide recommendations for content customization.
- Enables content creators to collect and analyze feedback during production and live performances
- Users can provide detailed feedback and comments on various aspects of the content
- Feedback is timestamped, transformed into values, and aggregated for analysis
- Machine learning techniques are used to identify trends in audience preferences and generate recommendations for content customization
- Interactive display allows content creators to efficiently manipulate and make sense of collected feedback
Potential Applications: This technology can be used in the entertainment industry for music, film, and live performances to improve content based on audience feedback. It can also be applied in market research and product development to gather consumer feedback in real-time.
Problems Solved: This technology addresses the challenge of collecting and analyzing feedback from audiences during content creation and live performances. It provides a systematic way to understand audience preferences and make data-driven decisions to enhance content quality.
Benefits: - Improved content quality based on audience feedback - Real-time analysis of audience preferences - Data-driven recommendations for content customization - Efficient manipulation and analysis of feedback for content creators
Commercial Applications: Title: Interactive Content Feedback System for Enhanced Audience Engagement This technology can be commercially used in the entertainment industry, market research firms, and product development companies to gather real-time feedback and improve content based on audience preferences. It can also be integrated into content streaming platforms to enhance user engagement and satisfaction.
Questions about Interactive Content Feedback System: 1. How does the interactive display help content creators make sense of collected feedback? 2. What are the security features implemented in the system to protect user data and feedback?
Original Abstract Submitted
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.
