The Feeling of Color is an interactive website exploring 100 colors and their possible emotional associations. Each color includes an English feeling label, a name, and a HEX code. The collection can be explored through three maps: taxonomy groups colors into families; morphology organizes them by lightness and saturation; typology connects recurring feeling patterns across different colors. Inspired by Graf1x’s color psychology references, the project expands broad associations into proposed shade–feeling pairings. These are design interpretations rather than universal psychological facts. The collection provides a starting point for personal observations and asks how context, memory, and classification shape the meanings we give to colors.

One Rule, Two Voices explores how interface presentation shapes perceived intelligence. Two versions use the same color contrast algorithm: one reveals measurements and classification rules, while the other hides calculations and communicates conversationally. Participants compare both versions, rate intelligence, trust, and clarity, then see the shared mechanism. The project asks whether changing representation can change how people interpret an identical computational result.

This project explores personal color analysis as a system. The system receives visual information such as skin tone, hair color, eye color, and natural contrast. It compares these features through four main rules: lightness, saturation, temperature, and contrast. Based on these comparisons, the system classifies a person into Spring, Summer, Autumn, or Winter and produces a personal color palette. The output can guide choices in clothing, makeup, jewelry, and color combinations. Through this system map, I also question how accurate these classifications are and how much human judgment influences the final result.

Color Study explores how a system turns appearance into recommendations. It automatically samples skin, hair, and eye colors from photos, then offers experimental seasonal palettes. Users can inspect calculations, correct samples, and compare alternatives. The project connects system mapping, rule reconstruction, and interface experiments through visible explanations and uncertainty.

This project reconstructs one rule within personal color analysis: turning skin, hair, and eye colors into a contrast category. The model converts three selected colors into CIELAB lightness values, calculates their maximum difference, and applies explicit thresholds to classify contrast as Low, Medium, or High. Three synthetic tests change only the skin-labeled color while keeping the other inputs fixed. The experiment reveals how representation and designer-chosen boundaries shape the result. It asks what numerical classification can establish about a person when lighting, sampling conditions, and personal preferences are excluded.