HSB Color Strategy model Based on Color Cognition and Color Emotion

Abstract

This paper aims to explore a color strategy model that quantify the parameters of color cognition and emotion using the HSB color model. This model uses scientific methods and technical tools to quantify cognition and emotion, which can be applied to digital ecology scenarios like universal digital terminals. To achieve this, we use machine learning models to study the color cognition law of individual physiological dimensions and the PAD emotional space algorithm to study the color emotion law of psychological dimensions. A decision model with two inputs (cognitive words and affective words) and one output (desired color) is constructed using a holistic generative design approach. This interdisciplinary research integrates principles from art, psychology, and computer science to explore the color strategy model of physiological and psychological dimensions which marks the beginning of theoretical research on interdisciplinary subjects such as Kansei Engineering.