  This paper presents the EACare project, an ambitious multi-disciplinary
collaboration with the aim to develop an embodied system, capable of carrying
out neuropsychological tests to detect early signs of dementia, e.g., due to
Alzheimer's disease. The system will use methods from Machine Learning and
Social Robotics, and be trained with examples of recorded clinician-patient
interactions. The interaction will be developed using a participatory design
approach. We describe the scope and method of the project, and report on a
first Wizard of Oz prototype.
