Reframe is an "information camera" that captures invisible data layers embedded within urban environments. Rather than recording visual imagery, the system synthesizes location-based data with dynamic datasets to surface information that exists beyond immediate perception, from environmental conditions to historical traces to social patterns.
The project addresses a fundamental tension in urban mobility: while transit systems optimize for efficiency, they often generate stress and disconnection from place. Reframe proposes an alternative paradigm where the act of moving through space becomes a form of situated inquiry. By revealing the information-rich qualities of seemingly mundane environments, the system transforms routine commutes into opportunities for spatial discovery and reflection.
This intervention operates through designed curiosity rather than engineered efficiency. It positions everyday mobility as a framework for deeper environmental engagement, suggesting that interaction design can mediate between the utilitarian demands of urban movement and the human need for meaningful spatial connection. The project ultimately questions how we might design for awareness rather than acceleration in increasingly complex urban systems.
