Human interaction is complex, composed of conscious and unconscious signals. A lot of work has been done on direct communication, e.g. visual and speech recognition, however a lot of work still has to be done on unconscious, indirect signaling and its impact on user perception and interaction comfort. This is an exploratory, multidisciplinary research building on foundations of psychology, neuroscience, physiology, mechanics and data science. In particular, this research project focuses on human physical and physiological data analysis, thus requiring heavy data science work and testing innovative machine learning techniques.
Discover human physical and physiological changes linked to communication
The study of human physiological and physical changes linked to interaction with other agents will open the way to smart natural interfaces which can analyze these data and use them to maximize the user comfort and well-being.