Automated Emotional Response Detection in Media Content Systems

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Solution Overview

Problem

Current systems lack the ability to automatically detect and correlate emotional user responses to media content effectively, limiting the enhancement and analysis of media presentations and the creation of new content based on user feedback.

Innovation Solution

A system comprising processors, capture, classification, correlation, and presentation components that detect user responses, such as facial expressions, and correlate them with media content, allowing for enhanced future presentations and creation of new content by aggregating and transferring response information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If typical feedback mechanisms (votes, likes, comments) are used to collect user responses, then user feedback can be obtained, but the feedback is deliberate and not automatic emotional response detection

Engineering Contradiction:

Improveautomatic detection of user responsesVSAvoidaccuracy of emotional response detection

Core Design Contradiction:

Extent of automationVSMeasurement precision

Solution Approach 1:

The patent replaces manual feedback mechanisms (mechanical system of user clicking buttons) with automated biometric detection systems that use physiological signals (facial expressions, voice tone, heart rate) to detect emotional responses automatically, eliminating the need for deliberate user action while capturing genuine emotional states

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces biometric sensors and machine learning algorithms as intermediaries between the user and the media content, these intermediaries automatically capture and analyze physiological signals to infer emotional responses without requiring direct user interaction or input

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If user responses are collected manually through feedback mechanisms, then feedback can be gathered, but it requires user initiation and does not capture spontaneous emotional reactions

Engineering Contradiction:

Improveuser interaction requirementVSAvoidspontaneous emotional response data

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system enables self-service detection where the user's own physiological signals (facial expressions, voice, biometric data) automatically serve as the feedback mechanism, eliminating the need for user initiation while capturing genuine spontaneous emotional reactions to media content

Inventive Principle:

Principle #25Self-service

3Reliability

If emotional response detection is implemented, then user engagement can be measured, but system complexity increases due to multiple sensors and processing requirements

Engineering Contradiction:

Improveuser engagement measurementVSAvoidsystem architecture

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent employs a multi-functional system where a single integrated platform performs multiple functions: capturing various biometric signals (facial expressions, voice, physiological data), processing and analyzing these signals through machine learning algorithms, storing response data, and generating engagement metrics, thereby reducing overall system complexity through consolidation

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent segments the emotional response detection system into distinct functional modules: biometric signal capture, signal processing and analysis, data storage, and metric generation, allowing each module to be optimized independently while maintaining overall system reliability for user engagement measurement

Inventive Principle:

Principle #1Segmentation

4Extent of automation

If biometric sensors are used to detect emotional responses, then automatic detection is achieved, but cost and device complexity increase

Engineering Contradiction:

Improveautomatic emotional response detectionVSAvoidsystem implementation cost

Core Design Contradiction:

Extent of automationVSEase of manufacture

Solution Approach 1:

The patent utilizes readily available, low-cost biometric sensors already present in common devices (smartphone cameras for facial expressions, built-in microphones for voice analysis, existing biometric sensors) rather than requiring expensive specialized equipment, making automatic emotional response detection economically viable for widespread implementation

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS10187690B1Systems and methods to detect and correlate user responses to media content

Publication Date: 2019.01.22 GOPRO INC

AI summary

Systems and method of automatically detecting user responses from users to media content and correlating the user responses to the media content include a determination of an emotional response by a user—for example a smile—to a presentation of media content. The determined emotional response is correlated to the media content. Subsequent presentation of the same media content includes presentation of an indicator—for example a smiley —that indicates the determined emotional response.