Interplayful Sensoric Environments, Ripple / Maria Orciuoli (IT), photo: Maria Orciuoli

Ripple

Maria Orciuoli (IT)

Ars Electronica Center, Deep Space 8K
Wed 4. Sep 2024 17:00 – 18:00

Ripple transforms historical data and computation from instruments of control into tools of relationality. The purpose is to reflect on our place within the inherent chaos of existence and our attempts to impose order upon it.

Ripple invites participants to perceive themselves as temporary force fields, interacting and shaping their environment through complex relationships. A tracking system translates the participants’ positions into visible disturbances, while the sonification of historical rainfall measurements plays in the background. As participants move across the environment, their individual effects merge to form a generative system, making it impossible to distinguish one’s own impact from that of others. This blurring of boundaries leads to a dissolution of subjectivity, transforming participants into relational knots. In this way, Ripple invites to reflect on our place within the inherent chaos of existence and our attempts to impose order upon it.

Language: EN
Ticket: FESTIVALPASS+, FESTIVALPASS, ONE DAY PASS
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Bios

  • Photo: Maria Orciuoli

    Maria Orciuoli

    IT

    Maria Orciuoli’s work draws from a personal cosmology to explore universal experiences of alienation and belonging. Her films, installations and public events range from small-town games to screaming interfaces, from a candy-activated seat sensor to the price index of a raindrop. With a background in economics and electronic arts, she has held residencies at the Digital Nature Group in Japan and Das Weisse Haus in Vienna. Her works have been exhibited at Ars Electronica, Speculum Artium and The Wrong Biennale, among others.

Credits

Maria Orciuoli, Ripple was developed using the Processing programming environment, under the technical guidance of Sen.Art. Mag.art. Holunder Heiß from the Time-based & Interactive Media department of University of Art & Design Linz. The rainfall data sonification was created in Max/ MSP using the ClimateEngine’s 2011-2021 TerraClimate dataset, processed by Google Earth and obtained from NOAA and NASA by the University of Idaho’s researchers.