Animating a conversational agent with user expressivity

International audience Our objective is to animate an embodied conversational agent (ECA) with communicative gestures rendered with the expressivity of a real human user it represents. We describe an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial a...

Full description

Bibliographic Details
Main Authors: Rajagopal, Manoj Kumar, Horain, Patrick, Pelachaud, Catherine
Other Authors: Département Electronique et Physique (EPH), Institut Mines-Télécom Paris (IMT)-Télécom SudParis (TSP), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS)
Format: Conference Object
Language:English
Published: HAL CCSD 2011
Subjects:
Expressivity
Embodied conversational agent
ECA
Motion style
Virtual clone
Greta
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
Iceland
Online Access:https://hal.science/hal-01301881
https://hal.science/hal-01301881/document
https://hal.science/hal-01301881/file/IVA2011%20Rajagopal.pdf
https://doi.org/10.1007/978-3-642-23974-8_64
Description
Summary:International audience Our objective is to animate an embodied conversational agent (ECA) with communicative gestures rendered with the expressivity of a real human user it represents. We describe an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial and temporal extent) from captured motion trajectories. We first validate this estimation against synthesis motion and then show results with real human motion. The estimated expressivity is then sent to the animation engine of an ECA that becomes a personalized autonomous representative of that user

Similar Items