2016 | together with Ege Kökel, Ula Reutina, Anton Defant
// Digital awareness. An intuitive way for randomizing digital
On which data do digital recommendation systems base their proposals on? How do our virtual profiles look like and how much do they conform with our real identity?
Current electronic markets use algorithms to predict consumer behaviour. But are they really predicting or manipulating it? Our angle of view gets narrowed down by computers showcasing and pretending digital personalities.
The sensory filters propose a way of feeding those systems with alternative data based on intuitive perception. Through specific sensors you can tag sounds, structures, images, tastes or scents you like, in a physical way.
Communities with the same interest can group up and built alternative recommendation systems using collaborative filtering.