Artificial and Emotional Intelligence for Mental Health
Being in good health means being in good physical and mental health. Mental health, therefore, contributes to our overall health. The World Health Organization (WHO) states that "good mental health enables individuals to realize their abilities, cope with the normal stresses of life, work productively and contribute to their community." According to the WHO, 1 in 4 Europeans is affected by mental disorders at some point in their life. In France, it is estimated that 15% of 10-20-year-olds require follow-up or treatment. 7.5% of French people aged 15 to 85 have suffered from depression in the past 12 months. There are 9,300 suicides and 200,000 suicide attempts each year in France, which amounts to 24 deaths per day. Mental disorders represent the largest area of expenditure for the general health insurance system, ahead of cancer and cardiovascular diseases, at €19.3 billion. The economic and social cost of mental disorders is estimated at €109 billion per year. It is to address these challenges that I am interested in the development of diagnostic, prognostic, monitoring, and assistance systems for people with mental disorders in my research activities. One of the originalities of my research is that it is based on emotional artificial intelligence, developing machine learning approaches for recognizing emotions, affects, and mental states from speech and facial expressions and other sensors like EEG. In this talk, I focused on the approaches I developed for recognizing clinical depression, although I have other work in the same vein to study other mental disorders, such as bipolar disorder, post-traumatic stress disorder, and autism spectrum disorder.
Alice Othmani has been an Associate Professor at the Université Paris-Est Créteil, since 2017. Her research works concern developing computer vision and artificial intelligence solutions for healthcare, emotional intelligence, and psychiatry. She has been working in several international institutions, such as the Ecole Normale Supérieure de Paris, Collège de France, and Agency for Science, Technology and Research (A*STAR), Singapore