SLBH
SADNESS · 50%
ANXIETY · 30%
DISAPPOINTMENT · 20%
VOLATILITY 0.83
COHERENCE 0.17
CONFIDENCE 0.75
ΔA +0.02

Mapping the Architecture of Human Emotion

We advance the science of human emotion by translating foundational theory into measurable systems, computational models, and real-world applications.

Current United States Emotional Field State

STUDIO LAB BH // RESEARCH INSTITUTE

Studio Lab BH is a systems research lab developing computational models of the invisible structures that organize human experience, beginning with affective systems.

The lab studies emotion as an observable and modelable system that shapes perception, behavior, and collective life.

01. THE VOID IN INFRASTRUCTUREThe Measurement Gap

Modern technological systems comprehensively map behavior, location, and information interaction. Yet, the foundational driver of human decision-making—emotional experience—remains largely unmeasured and invisible to these systems. Without frameworks for modeling emotion, digital infrastructure operates on an incomplete understanding of the human condition.

02. METHODOLOGICAL STANCEDynamic Systems Approach

Studio Lab BH treats emotion as a dynamic, interconnected system. By synthesizing computational modeling, affective science, and design research, we construct frameworks for observing, mapping, and translating complex emotional topographies into legible data structures.

Translational ArchitectureDEPLOYMENT PIPELINE
I

PHASE_01 // TR-FND

Foundational Theory

Establishing rigorous theoretical frameworks defining emotion as a measurable variable.

II

PHASE_02 // TR-MSR

Measurement Systems

Developing non-invasive, continuous protocols for capturing affective data signals.

III

PHASE_03 // TR-CMP

Computational Models

Translating raw affective signals into structured, predictive geometric models.

IV

PHASE_04 // TR-APP

Applied Interfaces

Designing tools that leverage emotional data to support human wellbeing and systemic design.

Current Research VectorsACTIVE TAXONOMY

Emotional Systems

The foundational study of emotion as a dynamic, interrelated network.

DIR. AFFECTIVE RESEARCH / CORE

Affective Computational Geometry

Mathematical approaches to defining and modeling complex emotional states.

APPLIED MATHEMATICS / CHROMA SUBSYSTEM

Emotion Meteorology

Observation and visualization of macro-level, collective emotional patterns.

DATA VISUALIZATION / POPULATION SCALE

Human-AI Emotional Interfaces

Technologies designed to intelligently parse and respond to human affective states.

HCI / AUTONOMOUS SYSTEMS

Principles
P—01Emotion as Architecture
P—02Engineering Mindset
P—03Data as Material
P—04Color as Signal
P—05Media as Communication
P—06Lead with Design Thinking
P—07Fluid Boundaries