Affective Computing investigates the methods to empower the machines with the ability to detect and to appropriately respond to the user’s emotional state. I am primarily interested in how physiological signals can be used to achieve this objective. I strongly believe that affective computing can not only provide intriguing possibilities to improve the quality of life in health and social care but also in applications related to assistive technologies, learning tools. It can certainly raise the complexity of currently limited human-machine interaction to include emotional adaptation that is now one of the key attributes of human interaction only.
Social Robotics is a new field of intelligent robotics that focuses on developing machines capable of assisting users through social rather than physical interaction. It has a wide application domain that includes care for the elderly, care for individuals with physical recovery/rehabilitation and training needs, and care for individuals with cognitive and social disabilities. I am primarily interested in how social robotics can be used for the cognitive well-being of individuals with a wide range of mental health concerns, such as individuals with intellectual disability, children with an autism spectrum disorder. It is my sincere belief that social robotics has the potential to make the benefits of cognitive rehabilitation readily available to a wider range of user population at affordable costs.