The algorithm 'watched' 600 hours of TV shows culled from clips posted on YouTube, including The Office, Big Bang Theory, and Desperate Housewives. The purpose was to see if it could accurately predict what humans would do during an interaction--would they shake hands? High five? Hug? Kiss? After feeding it the background material, the researchers had the algorithm watch new clips, and froze the clip just before an action was about to happen, and asked the algorithm to predict what happened next. 43 percent of the time, it was able to correctly identify what happened next.