The Atlas

the hub of The Emotion Quotient — tools, research & datasets, built on the Human Emotion Ontology (HEO)
“More is felt than understood.” ← Splash

More is felt than understood. Emotion is not noise in the system — it is the system: the signal that tells us what matters, what to remember, what to approach and avoid, and what to change. We learn through what moves us, and we grow by getting better at naming it. This atlas exists to make the invisible legible — a map of the feelings that shape attention, memory, learning, and growth, so that what we feel can become something we understand.

The data layer is the Human Emotion Ontology (HEO): a synthesis of the major frameworks in affective science — basic emotion theory (Ekman, Plutchik), dimensional models (Russell's circumplex, PAD), appraisal theories (Smith & Ellsworth, OCC), the Geneva Emotion Wheel, constructionist approaches (Barrett), and affective neuroscience (Panksepp) — plus cross-cultural research and philosophical distinctions. No framework is treated as canonical: disagreements are preserved as data, and every state and relationship carries a confidence grade and citations.

413affective states
1,915relationships
18edge types
17documented disputes

Interactive tools

graphdimensions

Ontology Diagram

Force-directed graph of all 413 states with category coloring, edge-type filters, search, and a Valence × Arousal map view. Freeze the layout and click any node to inspect it.

Open the graph →
self-identification

Emotion Finder

Describe what you're feeling — dimensional sliders, situation signals, body sensations, action urges, or a clickable body map — and get live-ranked candidate states with full context cards. Profiles are shareable via the URL.

Identify a feeling →
guidedtwine

Emotion Journey

A choose-your-own-adventure through your feelings. Answer a few questions and arrive at a named state with its ontology data card. The story source is genuine Twee — editable in Twine 2.

Start the journey →

Research & documentation

Datasets (machine-readable)

© 2026 The Emotion Quotient·by Zachary Loeber