Content Engagement Measurement via Speech Recognition

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Solution Overview

Problem

Content producers and advertisers lack the ability to determine consumer attentiveness and engagement levels during content consumption, leading to inaccurate royalty payments and ineffective targeted promotional content.

Innovation Solution

A system that transforms audio content into text using a speech recognition engine, generates engagement questions based on the text, and calculates engagement scores through user responses, allowing for accurate assessment of content engagement and targeted promotional effectiveness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If content is distributed without engagement tracking, then distribution is simple and fast, but producers and advertisers cannot determine consumer attentiveness and engagement levels

Engineering Contradiction:

Improveengagement measurementVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary engagement tracking system that operates between content distribution and consumption. This system uses engagement questions presented during content playback and user responses to measure attentiveness, serving as a mediator that enables precise engagement measurement without fundamentally altering the content distribution infrastructure.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical engagement tracking methods with an automated system that uses speech recognition and natural language processing. Instead of relying on complex hardware sensors or manual monitoring, the system substitutes these with software-based automated question response analysis to determine engagement levels.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If engagement tracking is implemented, then accurate royalty payments and targeted promotion are enabled, but processing time and computational resources increase

Engineering Contradiction:

Improveroyalty payment accuracyVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by presenting engagement questions during the content consumption period rather than after. This allows the system to collect engagement data in real-time as content is being consumed, enabling accurate royalty calculations to be performed immediately after consumption without requiring post-processing time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by having users naturally respond to engagement questions during content consumption. Users provide engagement information through their natural interactions with the content (answering questions, reacting to prompts), eliminating the need for separate manual reporting or complex tracking mechanisms that would consume additional processing time.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If engagement questions are presented during content streaming, then real-time engagement measurement is achieved, but content consumption experience is interrupted

Engineering Contradiction:

Improvereal-time engagement measurementVSAvoidcontent consumption experience

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent implements periodic action by presenting engagement questions at specific intervals during content consumption rather than continuously. The system strategically selects moments to interrupt content flow for engagement measurement, allowing real-time data collection while minimizing disruption to the overall viewing experience through timed, periodic interactions.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The patent applies local quality by tailoring engagement questions to specific portions of the content. Instead of uniform interruptions throughout, the system presents contextually relevant questions at strategically selected moments where they provide maximum engagement insight with minimal disruption, adapting the quality and timing of interruptions to local content characteristics.

Inventive Principle:

Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables precise measurement of consumer engagement, ensuring that content creators receive fair royalty payments based on actual interaction and that advertisers target effective content, improving the efficiency of promotional efforts.

Implementation Method 1

transforming, using a speech recognition engine, the audio data into text data

Methodology Applied

Scientific EffectSpeech recognition:

Data Source

PatentUS20250006191A1System for distribution of content and analysis of content engagement

Publication Date: 2025.01.02 DISCTOPIA INC

AI summary

Systems, computer program products, and methods are described herein for distribution of content and analysis of content engagement. The present disclosure is configured to retrieve content from a first storage device, wherein the content comprises audio data, transform, using a speech recognition engine, the audio data into text data, receive a first selection, wherein the first selection identifies the content, retrieve the text data corresponding to the content from the first storage device, identify keywords from the text data, and stream the content.