NADiA - Towards Neural Network Driven Virtual Human Conversation Agents

Jason Wu (Georgia Institute of Technology), Sayan Ghosh (University of Southern California), Mathieu Chollet (University of Southern California), Steven Ly (University of Southern California), Sharon Mozgai (University of Southern California), Stefan Scherer (University of Southern California)

Abstract

Advances in artificial intelligence and machine learning-in particular neural networks-have given rise to a new generation of virtual assistants and chatbots. Within this work, we describe the motivation and architecture of NADiA-Neurally Animated Dialog Agentwhich leverages both the user's verbal input and facial expressions for multi-modal conversation. NADiA combines a neural language model that generates conversational responses, a convolutional neural network for facial expression analysis, and virtual human technology that is deployed on a mobile phone.