Drawing on a collection of media from popular culture and archival sources, we created a multichannel video installation that explores visual representations of the office over time.
Using machine learning techniques based on principles of human cognition—including scene context, object recognition and event prediction—this piece is a hybrid of computer-organized and human-selected imagery in an attempt to surface correlations across disparate digital artifacts.