Emotion-Based Content Selection Using Emotional Delta Functions

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Solution Overview

Problem

Current content selection systems for influencing user emotions do not effectively account for a user's current emotional state and the time required to transition to a target emotional state, leading to suboptimal emotional reactions.

Innovation Solution

An interactive media emotion-based content system that captures user data using cameras, microphones, biometric sensors, and other devices to analyze emotional states and select or customize content to evoke specific emotions by determining an emotional delta function, which measures the significance of emotional transitions based on time, to adjust content presentation accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If content is selected based on target emotional state only, then content selection is simple, but the system cannot account for user's current emotional state and transition time requirements

Engineering Contradiction:
Improveemotional state adaptationVSAvoidcontent selection system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary detection of the user's current emotional state before selecting content. By capturing and analyzing the user's current emotional state in advance, the system can then determine the appropriate emotional delta and select content that will achieve the desired emotional transition, rather than simply selecting content based on the target emotion alone.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors the user's emotional state and uses this feedback to adjust content selection. By comparing the current emotional state with the target emotional state and considering the emotional delta function, the system dynamically selects or customizes content to guide the user's emotional transition, creating a closed-loop adaptive system.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If the system monitors user emotional state continuously, then emotional transition accuracy is improved, but data processing requirements and system complexity increase

Engineering Contradiction:
Improveemotional state detection accuracyVSAvoiddata processing energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system focuses computational resources on analyzing specific emotional state parameters that are most relevant to the current content selection decision. Rather than processing all possible emotional dimensions continuously, the system identifies and processes only the critical emotional indicators needed to determine the emotional delta and select appropriate content, reducing overall processing requirements.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system performs emotional state analysis at strategically selected moments rather than continuously monitoring every emotional fluctuation. By analyzing emotional state at key decision points in the content delivery process, the system achieves sufficient measurement precision for content selection while avoiding the excessive energy consumption of constant continuous monitoring.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11373446B1Interactive media facial emotion-based content selection system
Publication Date: 2022.06.28 AMAZON TECH INC
  • US11373446B1 patent drawing
  • US11373446B1 patent drawing
  • US11373446B1 patent drawing

AI summary

Devices and methods are provided for using an interactive media to select content based on a user emotion. The device may receive user data associated with presentation of first content at a first time. The device may determine, based on the user data, a first emotion state of a user. The device may determine a target emotion state for the user at a second time. The device may determine a difference between the first emotion state and the target emotion state. The device may determine, based on the difference, a function associated with content determination. The device may determine, based on the function, second content for presentation to the user.