Blind landing

Abstract

Blind Landing is composed of a helmet that tracks brain waves and eye movements, and AI software that analyzes the Youtube video frames. The work show how visual stimuli from algorithmically promoted contents affect viewer's behavior pattern, and induce the viewer to recover from their trusting and blind submission to the social network's algorithms of appreciation. To participate in the work, the audience is asked to put a helmet on. Then the viewer is subjected to the vision of one of the most appreciated online videos. Laterally, the screen shows the same videos analyzed by artificial intelligence software, which also colors the parts of the video that have been most seen by the viewer. Blind Landing captures the user's data and shows how predictable they are. Two systems were independently implemented for this purpose: 1) AI model that predicts and simulates gaze; 2) Custom built software that acquires real user data in real time and compares it withthe previous prediction model. The workutilize participants' EEG brain signals to generate the attended scene while the YouTube appreciation. For easy wear, EEG hat was sawed inside the 70's Pilot helmet. To allow 360 degree of freedom, hanger was installed with iron pivot on the ceiling. The aim of the work could therefore be to induce the viewer to recover from their trusting and blind submission to the social network's algorithms of appreciation, showing this cynical and perverse possible retaliation with wide eyes.