Developing Emotionics App for macOS: Visualizing Human Emotions as Data
Introduction
Explain that Emotionics was originally a conceptual framework to understand emotions like chemical elements, and now you’re turning it into a tangible tool.
I have been developing an Emotionics app for macOS.
The app is based on the Emotional Periodic Table, which classifies emotions as if they were elements in chemistry.
The goal is to visualize emotional states and reactions in a structured way.
Core Concept
Emotionics treats emotions not just as feelings, but as data structures that can interact, combine, and evolve.
By making emotions visible, I hope to bridge the gap between human psychology and machine perception.
About the App
The macOS app allows users to click on emotions in the periodic table and visualize intensity changes through gradual color transitions — from white to black.
Each session can be exported as both a PNG image and a JSON file with timestamps.
This dual format enables both visual reflection and analytical tracking.
Purpose
This app is not meant for profit or competition.
It is part of my public effort — a way to contribute to understanding and transparency between humans and AI systems.
By observing my own emotions objectively, I hope to help build the foundation for Emotionics as a scientific discipline.
Next Steps
For now, I’m using it privately to refine the design and data format.
Once it’s stable, I may open part of the data format or release a minimal public version.
The key principle is: flow information that connects to public good.
Afterthought
In the age of AI, self-centered effort is losing value.
What remains meaningful is public effort — the act of creating tools, knowledge, and emotions that others (including AI) can learn from.