Research

When data begins to speak.

Research on supplementing AI's cognitive limitations through visualization — designing the intersection where human intuition meets machine analysis.

Research Question

Why does drawing change
collective understanding?

Starting from Organizational Psychology and HRD research, one question kept recurring in complex decision-making contexts: "Why do people understand the same words so differently?" That question led to visualization, and 10 years in the field is now returning as research language.

Stanford psychologist Judy Fan's (2023) research showed that drawing is not simply recording — it is a cognitive act that reactivates perception. That is the neuroscientific basis for the "moments of consensus" I witness in the field every time.

Observation
The moment a drawing appears on screen, the entire room looks in the same direction. People who understood the same words differently now arrive at shared understanding.
Research Backing
When drawing a table, the visual cortex activates in the same pattern as when actually seeing a table. Drawing is an act that creates shared cognition. (Fan et al., 2023)
Application
Improving collective cognition in corporate strategy sessions, policy deliberation, and educational settings; developing Human-AI collaboration frameworks.
What Research Shows

The Data Behind the Practice

Things I knew from field experience — now supported by data.

29%
Better retention
when doodling while listening
Andrade (2010)
Applied Cognitive Psychology
66%
Use AI outputs
without verification
KPMG / Univ. of Melbourne (2025)
2×
Memory retention increases
with dual verbal + visual processing
Paivio (1971)
Dual Coding Theory
Framework

Visual AI Bridge Model

01

Cognitive Scaffolding

Explicitly providing priority and context for complex information through visual structure. The process of converting tacit knowledge to explicit knowledge.

02

Human-AI Synthesis

Workflow combining human contextual judgment with AI pattern recognition. Applying convergence methodology validated in GF settings to AI collaboration.

03

Validated Output

Feedback loop design where humans can immediately detect and correct AI output errors through visualized intermediate results.

Applications

Application Domains

Corporate Strategy
Structuring complex strategic discussions through visualization. Designing the process where finance, operations, and leadership look at the same picture and reach consensus for the first time.
Policy Deliberation
Visually structuring diverse stakeholder opinions and making viable policy options visible.
Organizational Learning
Converting organizational tacit knowledge to explicit knowledge by visualizing workshop processes. Improving knowledge management and decision quality.
Education Innovation
Designing personalized learning pathways through visualization of learning processes. An extension of research originating from Hanyang University's PEMS system.
References

Selected References

Fan, J. E., Bainbridge, W. A., Chamberlain, R., & Wammes, J. D. (2023). Drawing as a versatile cognitive tool. Nature Reviews Psychology, 2(9), 556–568. → nature.com
Andrade, J. (2010). What does doodling do? Applied Cognitive Psychology, 24(1), 100–106.
Paivio, A. (1971). Imagery and Verbal Processes. Holt, Rinehart, and Winston.
KPMG & University of Melbourne. (2025). Trust, attitudes and use of AI — Global Report. → kpmg.com
Rothstein, L. (2026, May 13). Proof of Humanity: Why Imperfection Is the New Trust Signal. Psychology Today.
Writing

Related Essays

ESSAY · MEDIUM

Why AI Needs a Visual Listener

Medium @JillyScope →

ESSAY · UPCOMING

On the Essence of Visual Thinking — Why Drawing Well Doesn't Matter

View on Writing page →

Want to explore this topic together?

Speaking invitations, research collaboration, and organizational application inquiries welcome.

Get in Touch →