Abstract
The question at the core of this work is whether it is possible to infer self-assessed personality traits from keystroke dynamics (the way people type on a keyboard). The experiments were performed over a corpus of 30 dyadic chats, 60 participants in total, collected through a text-based chat interface similar to those available in popular products (e.g., Skype). The results show that keystroke dynamics (typing speed, frequency of deletions, etc.) allow one to infer whether someone is below median or not along the Big Five personality traits. In particular, it was possible to achieve F1 Scores up to 72% depending on the trait. To the best of our knowledge, this is the first work aimed at recognizing personality traits through analysis of keystroke dynamics.