This project explores the invisible boundaries of digital privacy within algorithm-driven environments. As personal data is continuously processed by automated systems, privacy intrusion is often experienced not as a visible event, but as a subtle loss of control or uncertainty.
Through algorithmic image manipulation and visual distortion, the project translates abstract data processes into perceptible visual changes. Familiar images are gradually fragmented and altered to simulate hidden system interventions.
Presented as an interactive digital experience, the project invites users to actively explore visual instability and ambiguity. By combining perceptual manipulation with game-like interaction, the project aims to make digital privacy tangible as a visual and experiential condition rather than an abstract concept.