Color Selection System Using Physiological Response Correlation
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Solution Overview
Problem
Conventional color selection tools are subjective, limited by individual taste and trends, and fail to create a data-based relationship between color and predictable outcomes on well-being, leading to poor decision-making and anxiety in color choices.
Innovation Solution
A system and method that organizes discrete spectral colors into palettes based on temperament or environment, correlating them with physiological responses and mood data to facilitate purposeful color selection, using statistical associations and machine learning to predict desired outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional color selection tools (color wheels, taxonomies) are used, then color organization and reference are provided, but they fail to create a data-based relationship between color and predictable outcomes on well-being
Solution Approach 1:
The patent transforms color selection from subjective visual assessment to objective data-driven decision-making by changing the parameters from mere color coordinates to physiological and psychological response metrics. The system correlates color properties with measurable outcomes such as heart rate variability, cortisol levels, and self-reported mood states, creating a quantitative framework that predicts well-being impacts.
Solution Approach 2:
The system implements feedback loops where physiological sensors continuously monitor user responses to color exposures and feed this data back into the selection algorithm. This allows the system to learn from actual user reactions and refine future color recommendations, creating a closed-loop system that improves prediction accuracy over time based on empirical evidence.
2Ease of operation
If conventional color tools are used, then color references are provided, but they are disconnected from purposeful outcomes and lead to indecisiveness
Solution Approach 1:
The system performs preliminary actions by pre-establishing the relationships between colors and physiological outcomes through controlled experiments and data collection before actual color selection occurs. The framework is prepared in advance with correlated data sets linking specific color properties to predicted well-being impacts, so that when users need to select colors, the predictive model is already ready to provide immediate guidance.
Solution Approach 2:
The patent replaces the mechanical/manual process of color selection (visually browsing color wheels and swatches) with an automated computational system that uses machine learning algorithms and physiological data analysis. The system substitutes human subjective judgment with an automated decision-support mechanism that processes sensor data and provides objective recommendations, significantly reducing decision time.
3Adaptability or versatility
If subjective color selection methods are used, then individual taste is honored, but poor decisions and anxiety are caused due to lack of objective guidance
Solution Approach 1:
The system applies local quality by tailoring color recommendations to each user's specific physiological and psychological characteristics. Rather than providing generic color advice, the system adapts its recommendations based on individual baseline measurements, personal preferences, and real-time physiological states, creating personalized color profiles that respect individual differences while providing objective guidance.
Solution Approach 2:
The patent introduces physiological and psychological measurements as intermediary variables between color selection and well-being outcomes. These measurements serve as mediators that objectively bridge the gap between color properties and their impacts, providing tangible evidence-based guidance that reduces anxiety by replacing subjective uncertainty with measurable, interpretable data about expected outcomes.
Data Source
AI summary
A system and method for providing color selection assistance and color auditing of an image. The continuous spectrum of colors can be narrowed to a subset of palettes of discrete colors, referred to as temperaments and environments, that facilitate selection of colors that provide a purposeful outcome. Each temperament/environment is associated with a plurality of different discrete colors and a plurality of different descriptive words, including but not limited to identity words and emotive words. The system and method enables the user to objectively transform a desired physiological response into a discrete set of colors from which to make a color selection where the presented colors are related to the desired physiological response or to audit an image to convert the palette of colors in the image to their associated temperaments.