‘[data, set]’ is an installation in which the smells, lighting conditions, audio and visuals within the environment monitor and respond to the moods of visitors to the space in real time, in order to gradually evolve into the most captivating exhibit possible.
The piece tracks the emotional responses of guests — as well as how long they stay inside the room — to gage which combinations of media are most effective at capturing and maintaining their attention; as a result, the space is constantly optimising itself to present the most engaging version of itself to those inside. Deceptively alluring from the outside, visitors to the space are bombarded with a random, hollow assortment of media that has been grotesquely over-engineered to create an overstimulating, surface-driven experience.
The media (audio, videos and still images) on display consists of a randomized assortment of content extracted from miscellaneous real-world data sets; imagery such as x-rays, crowd fights, and dashcam footage that are actively being used to train neural networks. This project draws from ongoing research into datasets - who compiles them, how they are compiled, and what they can currently (and potentially) be used for.
Produced to accompany this exhibition was a short fictionalised essay contextualising the piece. This has been embedded at the bottom of the page.