Embodied Conversational Agents (ECAs) are computer generated life-like characters that interact with human users in face-to-face conversations. To achieve natural multi-modal conve...
Hung-Hsuan Huang, Aleksandra Cerekovic, Kateryna T...
A significant goal in multi-modal virtual agent research is to determine how to vary expressive qualities of a character so that it is perceived in a desired way. The "Big Fiv...
Michael Neff, Yingying Wang, Rob Abbott, Marilyn A...
Few systems combine both Embodied Conversational Agents (ECAs) and multimodal input. This research aims at modeling the behavior of adults and children during their multimodal int...
Persistent Embodied Conversational Agents (ECA) can be used to assist users in their daily activities. We introduce the Health and Fitness Companion (HFC), which is a conversation...
Cameron Smith, Daniel Charlton, Li Zhang, Marc Cav...
Abstract. In this paper we propose an algorithm based on fuzzy similarity which models the concept of resemblance between facial expressions of an Embodied Conversational Agent. In...