Data Trash Snack Bar - Data Mama
Data Mama is an artist collective composed of Naoto
Hieda (JP/EE), Pinyao Liu (CN/QC), Dan Xu (CN/NL),
Yurika S. Yamamoto (JP/DE). As Asian diasporas based
in Europe and North America, their members got to know
each other on a long distance train from Germany to
Romania, a trashy park in Amsterdam, a posh but
empty museum during the lockdown, and started to
form a constellation of four artists. Digital technologies
are central to their practices, both as creative tools
and critical subjects. Data Mama grows from their
shared experiences of navigating hybrid identities and
digital spaces shaping their emotional and artistic lives.
© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ© Bohumil KOSTOHRYZ
Data Trash Snack Bar is an experimental interactive
performance interrogating how AI reshapes intimacy,
empathy, and human connection. Inspired by Japanese snack bars and the Shinto belief that all things
possess a spirit, the work features a human performer
as the host, the “Snack Bar Mama”, whose advice and
responses are generated entirely by an AI. The tension
between body and algorithm becomes a poetic lens
to question agency and authenticity in blurred
human–machine relationships. The piece takes place
as an immersive, participatory experience in which
audience members become late-night customers
seeking comfort, advice, and connection from the
AI-controlled mama-san, exposing the absurdity of
a world increasingly mediated by machines.
Dan Xu, artist and creative computer researcher (NL/CN)
Pinyao Liu, immersive environment & AI
developer / performer (CN/QC)
Naoto Hieda, interactive system developer / visual designer / performer
(JP/EE)
Yurika S. Yamamoto, choreographer & director
/singer / performer (JP/DE)