The aim of the project is to research an AI model (Smart Dialogue Engine, SDE) that better adapts the dialogue behavior (course, choice of words, prosody) of telephone-based language assistants to the needs and (meta-)communicative signals of the caller as well as to relevant context information; in particular to operator-specific boundary conditions, the previous course of the conversation and the cross-channel interaction history.
Partners
- Aaron GmbH, Berlin
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Berlin
