By considering information about typical human dialog patterns gained through experience, the Virtual Assistant “learns” and derives the best interaction behavior.
To support everyday life and improve safety, the VSP
- recognizes the emotional state of the elderly person by using facial expressions, gestures (body language and hands), and voice to determine the overall mood. As a result, emotions (cheerfulness, anger, etc.) are detected much more accurately than if only one factor were considered;
- interprets user behavior considering environmental factors;
- develops a novel communication model that considers several factors (linguistic, emotional, semantic, cognitive, physical);
- uses 3D methods to create an avatar-based, lifelike user interface. The user communicates with the avatar through language and gestures, which preserves and trains cognitive abilities;
- develops ICT services in consideration of the user’s affective state to provide guidance and support in the areas of personal care, health, education, and leisure. The various services also make use of the care network and thus facilitate virtual contact with (un)official caregivers.
It is also possible to tailor services considering personal capabilities and needs. The normal human aging process must be considered by constantly adapting services. The VSP is capable of learning. It reacts based on experience from past situations, just like a human does. This is possible thanks to so-called “creative bonding,” that is, creative strategies for building a relationship.