To measure emotions while playing, a software developer programs a webcam to record his facial expressions and then graphs them.
Dale Lane has created a scientific way to measure facial expressions in order to quantify emotions while playing video games. Lane programmed the webcam under his TV to snap a photo of his face every 15 seconds while he is playing a game or watching TV. The pictures are then all sent to the face.com API. The API calculates information on the images, including a short Python script that basically graphs his facial expressions throughout the game. The graph below shows Lane’s expression while playing Blur – a car racing game.
Lane has run his experiments with a variety of games and TV shows including Modern Warfare 3 and ‘The Daily Show.’ While the method is not entirely foolproof — the webcam’s low-resolution sometimes fails to capture the correct facial expression — it is an interesting way of easily quantifying how happy, angry, or sad we are when playing our favorite games.