



Step 1: Radicals
Participants begin by choosing one of four traditional Chinese radicals:
心 [xīn: heart],
火 [huǒ: fire],
水 [shuǐ: water],
彳 [chì: step]
These radicals are deeply symbolic, evoking inner states—like serenity, anger,
fluidity, or vitality—and reflect how language originally carried emotional and
elemental associations before it was formalized into fixed systems.



Step 2: Emotional Writing through Sound
While listening to a custom-designed soundtrack mimicking rhythmic Buddhist chanting,
participants paint freely in response to their chosen radical and the emotional tone
of the sound infront of the web-camera as their movements get detected by Mediapipe
in Touchdesigner.
The soundtrack includes temple-inspired sounds
like bells, gongs, and ripples that guide the tempo and mood of their gestures.
Participants are not instructed to replicate actual Chinese characters.
Instead, they are encouraged to create intuitive marks—their own glyphs—that embody
how the radical feels, rather than how it should look. The aim is to return to the
roots of calligraphy and spiritual text, where writing was once a meditative,
emotional, and sacred act, not just a tool for information.




Step 3: AI as Mirror – Stable Diffusion
The paintings are then processed through Stable Diffusion, a generative AI model.
But rather than using AI to define or “perfect” the glyphs, it translates the
emotional rhythm into impressionistic visuals.
This step highlights how today’s systems try to extract meaning from illegible or
emotional data—similar to how touchpads guess what we write from vague scribbles. In
this context, AI becomes a mirror of abstraction, a collaborator in the
defamiliarisation of language. It also echoes how sacred texts evolve through time,
translation, and technology.