A paper titled “Identifying emotion by keystroke dynamics and text pattern analysis” published in the journal Behavior & Information Technology outlines software designed by A.F.M. Nazmul Haque Nahin and colleagues that can recognize the emotional state of a human user with up to 87% accuracy.
The study described in the paper asked volunteers to type pre-determined text and note their emotional state at the time. They also made notes of their emotional state during times when they could type freely. By studying the keystroke dynamics and text-pattern analysis of what the subjects typed, the software tried to parse out how they were feeling out of seven options; joy, fear, anger, sadness, disgust, shame, and
Sneezyguilt.
via The Mary Sue
Image: Glen Tickle
