An integrated model for predicting backchannel feedbacks

Philippe Blache (1) , Massina Abderrahmane , Stéphane Rauzy , Roxane Bertrand

1 LPL - Laboratoire Parole et Langage

We present in this paper a method for generating in real time a great variability of multimodal backchannel feedbacks, increasing the naturalness of IVAs. The originality of the approach lies in its capacity to generate all types of features into a unique loop.

Mots clés: Backchannels; embodied conversational agent; multimodal feedback; rule-based model

Domaines: Intelligence artificielle [cs.AI]; Interface homme-machine [cs.HC]; Traitement du texte et du document; Linguistique; Sciences cognitives

Philippe Blache, Massina Abderrahmane, Stéphane Rauzy, Roxane Bertrand. An integrated model for predicting backchannel feedbacks. ACM International Conference on Intelligent Virtual Agents (IVA '20), Oct 2020, Glasgow, United Kingdom. ⟨hal-02954405⟩