Human interaction is often described in emotional terms — joy, sorrow, passion, empathy.
Yet emotion is a cultural interpretation layer, not a structural mechanism.
Across history, humans have coordinated through rhythm, timing, posture, and movement long before symbolic language emerged. Collective rituals, music, and dance functioned not as emotional broadcasts but as systems of synchronization.
This raised a structural question:
How do humans achieve alignment without relying on symbolic exchange?

Early reflections centered on the idea of shared emotional experience.
Over time, the focus shifted.
Rather than asking how technology could transmit or amplify emotion, a more precise formulation emerged:
Can systems support non-symbolic coordination through continuous feedback?
In such systems, interaction is not about expressing inner states.
It is about influencing shared dynamics.
Alignment emerges through regulation, not interpretation.
Contemporary digital tools often operate symbolically.
They detect, classify, predict, or generate.
A different approach treats technology as a regulatory medium.
Instead of translating feelings, a system can structure bounded state spaces in which participants influence a shared dynamic field. Movement alters parameters. Sound reorganizes perception. Perception reshapes movement.
No emotion is detected.
No meaning is decoded.
Coupling stabilizes through feedback.

Shared experience, in this framework, does not require emotional transfer.
It arises when multiple agents modulate the same regulatory environment. Stability, drift, and transition become observable phenomena.
Meaning is not injected into the system.
It emerges through sustained interaction.
This shift reframed the problem entirely.
The investigation moved from “How can we share emotion?” to:
How can we design systems that enable observable dynamic coupling?
This line of thinking ultimately led to the development of FanRows as an embodied auditory feedback system.
The aim is not emotional transmission.
It is the structured exploration of:
Interaction becomes measurable not through self-report, but through observable system behavior.
