A job interview can be a big obstacle. To present yourself on one hand correct, interested and motivated and on the other hand to be binding and authentic, can be an unusual situation for young people. Virtual empathetic training systems can help to improve social competencies and get to know job application situations.
The project EmpaT works with a real-time analysis of social signals with an emotional real-time user model, that adapts the behaviour of the Avatar to the emotional situation of the user. This creates an emotional job interview. The major challenge is to create an emotional feedback of the Avatar, that is close to reality. To solve this problem, a cooperation of computer scientists, psychologist and 3D-graphic experts are researching the interpretation of social and emotional signals. Hardware sensors are used to capture social communication signals like expression, eyes, hand and body movement.
The real-time processing of the received information is used for an adaptive-reactive controlling of the EmpaT training Avatars. Through this, it is possible to create a well-matched communication between user and Avatar. Different emotional and social interaction patterns can be simulated.
More information at http://www.empat-projekt.de