First impression based personality analysis

In the past few years human behavior has became a topic of high interest in computer vision field. Many researchers are still focusing on the problem of how to teach computers to identify people by face, detect their gestures, facial expressions or recognize their emotions. Personality automatic analysis was less observed until the recent, even as it could find applications in many different areas, such as security and candidate selection problems. Personality affects first impression which person leaves by communication with other people, which in its turn affects decisions people make, for example by deciding whether we like or dislike person, or choosing the right candidate for a job, since in this case personality characteristics play a role on equal basis with candidate professional skills. For testing professional skills participants can be given test assignments, but it’s very time-consuming to interview each candidate in person. The algorithm, which would provide the relevant information about personality characteristics of each candidate could save a lot of time and human resources for solving the above mentioned problem. Automatic personality analysis has gotten more attention in computer vision field under challenges organized by ChaLearn Looking at People (Chalearn LAP) group (1). In 2014 ChaLearn LAP has published a First Impression dataset, which contains short video clips with corresponding