Overview

SONOSPHERE explores how the data generated through everyday apps can reveal meaningful truths about our lives. Using Spotify as a source, the project transforms listening behavior into a personalized, explorable world that visualizes patterns in music and identity. 

By making personal data more tangible and interactive, SONOSPHERE encourages users to better understand and connect with the digital traces they create every day.

Users can navigate this world through hand movements in front of their device's camera. By connecting the body with personal data, SONOSPHERE transforms abstract information into a tangible experience, encouraging users to engage with and take ownership of the data they generate.

Rather than presenting raw Spotify statistics, SONOSPHERE interprets patterns in song repetition, artist diversity, listening routines, and playlist curation.

These behaviors are translated into personas that make complex data easier to understand, transforming listening habits into narratives that reveal different aspects of a user's musical identity.

Through a custom algorithm, users are assigned 4 personas from a system of 19 possible personas, with one persona representing each listening category. Represented as icons, these personas visualize different categories of listening behavior and identity.

Each user's Spotify data generates a distinct world shaped by their four personas. As listening habits evolve over time, the personas and environment evolve alongside them, creating a living reflection of each user's relationship with music.