Content Classification and Psychological Profiles for Adaptive Environments

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Solution Overview

Problem

Existing digital environments fail to consider content classes and content subclasses in adapting to individual user interactions, leading to ineffective personalization.

Innovation Solution

A system that identifies and utilizes correlations between content classifications and psychological profiles to determine predicted user responses, allowing for personalized content presentation based on content-specific and master-correlations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If existing systems adapt digital environments based on user interactions, then user engagement is improved, but content relevance is reduced because content classes and subclasses are not considered

Engineering Contradiction:

Improveuser engagementVSAvoidcontent relevance

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The system segments content into hierarchical classes and subclasses (e.g., entertainment -> games -> strategy games) and analyzes user interactions with specific content items to determine correlations between content characteristics and user psychological profiles. This segmentation enables precise matching of content to user preferences while maintaining broad adaptability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of content adaptation from binary (present/absent) to multi-dimensional by incorporating psychological parameter values (e.g., openness, conscientiousness, neuroticism) as correlation strengths. This allows continuous adjustment of content based on both interaction history and psychological characteristics.

Inventive Principle:

Principle #35Parameter changes

2Ease of manufacture

If content adaptation is based only on user interactions, then implementation is simple, but personalization effectiveness is reduced

Engineering Contradiction:

Improveimplementation simplicityVSAvoidpersonalization effectiveness

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system introduces psychological profiles as an intermediary between user interactions and content selection. Psychological parameter values serve as mediators that translate raw interaction data into meaningful correlations, enabling sophisticated personalization without requiring direct complex analysis of every interaction pattern.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates a universal framework that works across different content types and platforms by using standardized psychological profiles and hierarchical content classification. This multi-functional approach allows the same correlation-based mechanism to personalize recommendations for diverse content while maintaining implementation simplicity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Stability of the object's composition

If content classification taxonomy is implemented, then content organization is improved, but system complexity increases

Engineering Contradiction:

Improvecontent organizationVSAvoidsystem complexity

Core Design Contradiction:

Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The content taxonomy is segmented into hierarchical levels (classes and subclasses) that can be independently managed and queried. This segmentation allows the system to handle complex content relationships through a structured framework, making the complexity manageable and the organization stable.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies different levels of classification depth locally based on content type and user needs. Not all content requires the same level of classification detail, allowing the system to maintain organization benefits while reducing overall complexity by only applying detailed taxonomy where necessary.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12367963B2Systems and methods to identify and utilize correlations between content classifications and psychological profiles of users to provide an adaptable digital environment

Publication Date: 2025.07.22 SOLSTEN INC

AI summary

Systems and methods to identify and utilize correlations between content classifications and psychological profiles of users to provide an adaptable digital environment are disclosed. Exemplary implementations may: obtain interaction information; determine, based on the interaction information, content-specific correlations between psychological parameter value(s) and/or the individual psychological profiles of individual users and individual pieces of content; determine content classes and content subclasses that characterize the individual pieces of content; determine, based on the content-specific correlations, master-correlations between the content class(es) and/or the content subclass(es) and a strength of the individual one or more psychological parameter values relative to other ones of the psychological parameter values included in the psychological profiles; determine individual predicted responses to the individual pieces of content based on strengths of the master-correlations, the psychological profiles of the master-correlations, and the interaction information; identify and present prospective pieces of content for the users based on the predicted responses.