Digital Media Narrative Personalization via User Emotion Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

In the digital media advertising landscape, existing methods struggle to personalize content effectively based on user demographics, psychodemographics, emotional states, and affinity, leading to generic experiences that fail to engage users and result in skipped advertisements.

Innovation Solution

A system and method that customize digital media narratives by creating user profiles based on demographics, psychodemographics, emotional states, and affinity, allowing for dynamic content modification and personalized product placement, enhancing user engagement and receptivity to advertising.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If generic advertising content is used, then production cost and complexity are reduced, but user engagement and advertising effectiveness deteriorate

Engineering Contradiction:

Improveadvertising productionVSAvoidadvertising effectiveness

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The patent implements dynamic advertising content that automatically adapts to user emotional states and contextual factors. The system modifies advertising narratives in real-time based on detected user emotions, making the content flexible and responsive rather than static and generic, thereby improving effectiveness without proportionally increasing production complexity

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple parameters of advertising content including emotional tone, narrative style, timing, and sequencing based on user state detection. By adjusting these parameters dynamically, the patent achieves personalized advertising effects while working within existing production frameworks

Inventive Principle:

Principle #35Parameter changes

2Productivity

If personalized content based on user demographics and emotional states is implemented, then user engagement and advertising receptivity are improved, but system complexity and data processing requirements increase

Engineering Contradiction:

Improveuser engagementVSAvoidpersonalization system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the personalization process into distinct functional modules: emotion detection module, context analysis module, content selection module, and delivery coordination module. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while achieving comprehensive personalization

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces intermediary components including emotion detectors that bridge user state and content selection, and context analyzers that mediate between raw data and personalization decisions. These intermediaries simplify the complexity by creating structured intermediate representations

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If advertising content is modified dynamically based on user state, then advertising effectiveness is improved, but loss of original narrative integrity increases

Engineering Contradiction:

Improveadvertising effectivenessVSAvoidnarrative integrity

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent applies partial modification to advertising content, adjusting only specific elements such as emotional tone, timing, and certain narrative elements while preserving the core message and essential story arc. This selective approach maintains narrative integrity while achieving personalization effects

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system applies different levels of modification to different parts of the advertising content. Critical narrative elements remain intact while peripheral elements are adapted to user state, creating local variations that preserve overall narrative coherence

Inventive Principle:

Principle #3Local quality

4Measurement precision

If multiple attributes including demographics, psychodemographics, emotional states, and affinity are tracked, then personalization accuracy is improved, but information processing load and privacy concerns increase

Engineering Contradiction:

Improveuser profiling accuracyVSAvoiddata management overhead

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The patent extracts and processes only the most relevant attributes for personalization at any given moment, rather than continuously analyzing all available user data. This selective extraction reduces processing load while maintaining personalization accuracy by focusing on critical information

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS8856030B2Method, system and software for associating attributes within digital media presentations

Publication Date: 2014.10.07 10TALES

AI summary

Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.