Image Color Analysis for Personality Prediction
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Solution Overview
Problem
Current business systems fail to effectively personalize marketing efforts and understand individual preferences, buying habits, and personality traits of users, leading to suboptimal business outcomes, as they do not leverage existing networking resources and communicative channels to gain insights from users' images.
Innovation Solution
A system and process that analyze colors in images posted or liked by users to predict personality attributes, using a data analyzer with modules for image collection, color extraction, and attribute interpretation, to enhance business outcomes by deriving psychological-oriented personality traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing business systems attempt to provide offer personalization and understand customers, then some level of personalization is achieved, but none of the existing systems have been able to understand and engage each person individually in ways that successfully enhance business outcomes
Solution Approach 1:
The patent introduces image analysis technology as an intermediary tool that bridges the gap between existing personalization attempts and true individual understanding. By analyzing colors in user images and deriving personality attributes, the system gains deep insights into individual preferences and tendencies, enabling personalized marketing that actually enhances business outcomes rather than just providing superficial personalization.
2Device complexity
If networking resources and content platforms are left untapped, then system complexity remains low, but opportunities to understand person personality and gain insights are lost
Solution Approach 1:
The patent applies preliminary action by proactively analyzing images that users have already posted or liked on social media platforms. Instead of waiting for users to explicitly provide personality information, the system preemptively extracts color attributes from their images and derives personality insights, capturing valuable information before it is lost or before the user would need to provide it manually.
3Measurement precision
If color analysis and personality prediction is implemented, then personality attribute prediction precision is improved, but device complexity increases due to additional modules required
Solution Approach 1:
The patent segments the personality prediction system into distinct functional modules: an image collector module that gathers images from social media, a color extractor module that analyzes color attributes, and an attributes interpreter module that derives personality insights. This segmentation allows each module to specialize in one task, improving overall prediction precision while making the complex system more manageable and maintainable through clear separation of concerns.
Data Source
AI summary
A system and a process are disclosed to analyze images and predict personality to enhance business outcomes by analyzing colors predominant in images selected, posted, or liked by a person, determining color values for the predominant colors in the images, weighting the color values, and, based on the weighted color values, deriving one or more personality attributes according to a particular psychological orientation.