Quantified Self

In Quantified Self, I explore how our identities are increasingly shaped by numbers. This

installation is based on 30 days of personal data I collected—tracking my mood, sleep, screen time,

and social interactions. I turned this data into a grid of 3D-printed cubes, each one a physical

snapshot of a day in my life, generated through parametric modeling. Though visually precise and

clean, the forms are hollow-mirroring the emotional disconnection I felt when reducing my lived

experience to metrics.

The surrounding environment responds to the presence of the viewer. A band of projected light

shifts in brightness and angle depending on movement, captured in real time by a webcam. This

creates an active shadow play around the cubes, emphasizing how our self-perceptions—and

others' perceptions of us—are constantly reshaped by external forces. The light is cool and sterile,

evoking the cold gaze of data analysis and algorithmic judgment.

This work came out of a deep, personal tension: the drive to monitor and optimize myself using

apps and devices, and the growing realization that I was living less through feeling and more

through feedback loops. At some point, I noticed I wasn’t just tracking my life—I was performing

it for the sake of the numbers. That moment of discomfort led me to reverse the process: instead

of using data to perfect myself, I used it to reveal just how much it was flattening me.