Project Atlas

Vision

Project Atlas is an effort to map the principles of visual perception and design.

Rather than creating another design system or style guide, Project Atlas seeks to discover the underlying laws that govern how humans perceive, interpret, and interact with visual information.

The goal is to move beyond opinion and convention toward evidence-based design principles.

Mission

Create a comprehensive knowledge graph that connects:

• Biology
• Psychology
• Neuroscience
• Human Factors
• Architecture
• Graphic Design
• Industrial Design
• Fine Art
• Photography
• Film
• User Interface Design

into a single model describing visual communication.

Core Philosophy

Traditional design systems answer questions like:

How should this look?

Project Atlas attempts to answer:

Why does this work?

The emphasis is on explanation rather than imitation.

Guiding Principles

Evidence over Opinion

Every relationship should be supported by evidence whenever possible.

Relationships should include:

• Supporting research
• Observational evidence
• Experimental evidence
• Confidence level

Quantification over Description

Whenever possible, subjective descriptions should become measurable properties.

Instead of:

"Lots of whitespace"

Measure:

• Percent whitespace
• Average spacing
• Visual density
• Group separation

Relationships over Categories

Artists are not categories.

Styles are not categories.

Everything exists as nodes connected by weighted relationships.

Example:

Negative Space

──0.91──► Focal Clarity

──0.74──► Reduced Cognitive Load

──-0.62──► Information Density

Multiple Disciplines

Project Atlas assumes great design principles appear across many fields.

Evidence may come from:

• Paintings
• Buildings
• Nature
• Photography
• Movies
• Typography
• Industrial products
• Scientific experiments
• User interfaces

Science First

Every observation belongs to one of four evidence levels.

• Measured
• Inferred
• Hypothesized
• Established

Long-Term Goal

Discover universal laws of visual perception.

These laws should eventually support:

• Better interfaces
• Better dashboards
• Better information visualization
• Better printed materials
• Better architecture
• Better presentations
• Better educational material

The ultimate objective is not to copy beautiful work.

The objective is to understand why beauty, clarity, efficiency, and emotion emerge from specific visual decisions.

Project Structure

Project Atlas
│
├── Visual Perception Ontology
├── Evidence Database
├── Relationship Graph
├── Universal Design Laws
├── Design Language
└── Implementation Library

Visual Perception Ontology (VPO)

Composition

• Balance
• Symmetry
• Density
• Alignment
• Hierarchy
• Rhythm
• Scale
• Grouping
• White Space
• Geometry

Attention

• Focal Point
• Contrast
• Eye Path
• Saliency
• Surprise

Cognition

• Recognition
• Chunking
• Memory Load
• Scan Speed
• Decision Cost
• Information Density

Emotion

Dimensions rather than fixed emotions:

• Calm ↔ Exciting
• Warm ↔ Cold
• Friendly ↔ Serious
• Organic ↔ Mechanical
• Formal ↔ Casual
• Luxurious ↔ Utilitarian
• Predictable ↔ Surprising

Material

• Color
• Lighting
• Texture
• Transparency
• Surface Finish
• Depth
• Motion

Biological Efficiency

Potential measurable concepts include:

• Saccade Efficiency
• Peripheral Recognition
• Working Memory Load
• Focal Clarity
• Chunkability
• Visual Recovery
• Scan Efficiency

Evidence Cards

Every observation is stored independently.

Example:

Observation ID: 000037

Subject: Edward Hopper

Work: Nighthawks

Observation:
High negative space surrounding primary subjects.

Evidence:
Measured image analysis.

Confidence:
0.84

Status:
Measured

Relationship Graph

Relationships include:

• Strength
• Direction
• Confidence
• Supporting evidence

Example:

Whitespace

──0.83──► Recognition Speed

Recognition Speed

──0.74──► Lower Cognitive Load

Lower Cognitive Load

──0.62──► Faster Decision Making

Contradictions

Contradictory findings are valuable. Rather than choosing a winner, Project Atlas records competing evidence and searches for the hidden variables that explain the differences.

Evidence Pyramid

Expert Opinion

Case Studies

Controlled Experiments

Meta Analysis

Replication

Research Roadmap

Phase 1

Build the ontology (50–100 core concepts).

Phase 2

Collect evidence from neuroscience, Gestalt psychology, cognitive psychology, human factors, and information visualization.

Phase 3

Analyze painters, architects, graphic designers, industrial designers, photographers, and film directors.

Phase 4

Build the weighted relationship graph.

Phase 5

Search for recurring patterns that become candidate universal design laws.

Phase 6

Validate or falsify those laws.

Phase 7

Transform validated principles into practical tools such as design systems, web components, automated layout generation, design review tools, accessibility guidance, and educational resources.

Success Criteria

Project Atlas succeeds when it can:

• Explain why designs work.
• Predict how design changes affect perception.
• Generate layouts from principles rather than templates.
• Connect discoveries across unrelated disciplines.
• Continuously improve as new evidence is added.

The end goal is an evidence-based atlas of human visual perception rather than another collection of design best practices.