SelfieCity: Investigating Selfies Using a Mix of Theoretic, Artistic and Quantitative Methods Moritz Stefaner
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SelfieCity: Investigating Selfies Using a Mix of Theoretic, Artistic and Quantitative Methods Moritz Stefaner
The diagram shows the complete library of over 3,000 videos published by Khan Academy, and their organization in topics, subtopics and playlists.
Created by Benjamin Wiederkehr of Interactive Things, with the support Jérôme Cukier and Moritz Stefaner.
Tyne is a visualisation of data from 5 sensor values recorded by ~Flow, a tidemill floating building on the River Tyne that generates its own power using a tidal waterwheel. ~Flow was initiated by Owl Project and Ed Carter in collaboration with Modular. This data, which also drives beautifully built, wooden instruments and sound generators located on board of ~Flow is publicly available on Cosm.
Each recording of the data captures the levels of oxygen, acidity, nitrates and salinity values in the water as well as the turning speed of the waterwheel. This set of values provides the basis for a flow simulation which generates a unique image per measurement.
Particles are continuously moving from right to left, being attracted or repelled by four circular zones representing the sensor values. The overall behavior of the particles is influenced by the turning speed of the waterwheel. If the value of one sensor is above its mean value, particles are repelled. If the value is below the mean, particles are attracted towards the center of the zone.
This mechanism creates slight turbulences in the stream which in turn produce a single image based on the drawn paths of the particles.