Empathic trainers for the application process
Job interviews are often a big challenge. Unexpected situations can emerge and throw some candidates off guard – particularly young applicants. Virtual empathetic training systems can provide additional opportunities for applicants to practice job interviews and better assess their own behavior.
The EmpaT project, for the first time, has combined a real-time analysis of social signals with an emotional real-time user model to adapt the behavior of an interactive avatar to the socio-emotional situation of a user.
For this purpose, TriCAT researches and implements the interpretation of social and emotional signals necessary for empathy, adapting them to the respective user and his social situation. The research takes place as part of a project consortium of computer scientists, psychologists and 3D graphic experts. The project also addresses possible long-term social impacts of virtual empathic training systems.
EmpaT is funded by the Federal Ministry of Education and Research (BMBF) within the framework of the research center “Social- and emotion-sensitive systems for an optimized human-technology interaction – from technical tool to interactive companion (InterEmotio)”. VDIVDE-IT GmbH is responsible for the project.
Learn more at www.empat-projekt.de