SIGNAL LOST is an interactive study in digital muscle memory. By stripping a familiar social media interface of all semantic content—removing images, text, and icons—the piece reveals the skeletal architecture of our daily digital consumption. The work utilizes procedural Perlin noise and geometric primitives to mimic the rhythm of a social feed without the noise of information. It isolates the dopamine loop, allowing the viewer to engage in the act of scrolling as a meditative practice rather than an anxiety-inducing one.
Features
Generative Content: Every refresh creates unique noise fields, "videos" Interactive UI: Fully functional feed mechanics including stories, double-tap to like, infinite scroll, and a profile grid. Dark Mode: Integrated "Void Mode" accessible via the UI header. Lightweight: A single, self-contained HTML file running entirely in-browser.