Nonlinear Interactive Instruction: Embodied Learning Systems

Starting not with space, but with instruction itself.

How do you learn a craft technique? You don't read about it. You watch. You mimic. You adjust by feel.

Through speculative interfaces and real-time gesture tracking using Procession (developed by Spatial Pixel), I explored whether embodied, nonlinear learning could be digitized: Could a digital system teach not through rigid steps, but through movement, experimentation, and adaptation?

I found that craft learning is inherently nonlinear, cyclical, and deeply resilient—but also fragile when cut off from embodied practice.

Artisans tell stories through their hands. A slight pressure, a wrist turn, a coiling motion — these are more than just physical acts. They are repositories of tradition, intuition, and embodied skill.

But unlike spoken language, these gestures often go undocumented. When they disappear, we lose more than a technique—we lose culture, relationships to materials, and ways of inhabiting the world. Craft gestures are dynamic, not static. Yet most documentation—photographs, videos, written guides—flattens them into static representations. They fail to capture the richness of movement: its timing, its evolution, its silent dialogue with material.

To understand this, I started by mapping the gestures of traditional pottery techniques. I found that each technique is a dance of hands, fingers, and wrists—a subtle conversation with clay that can't be captured in a single image or video.

How do you teach the slight press of fingers flattening clay?

How do you capture a thumb's subtle rotation into the curve of a bowl?

How do you guide a hand's gentle pull into the perfect curvse of a vase?

How do you teach the subtle pressure of a thumb against clay to create a smooth surface?

How do you guide a hand's gentle pull into the perfect curve of a vase?

The system utilizes: