In open settings, the participants are autonomous and there is no central authority to ensure the felicity of their interactions. When agents interact in such settings, each relie...
In this paper, we describe the development of an Embodied Conversational Agent (ECA) implementing the concept of a companion, i.e. an agent supporting the persistent representatio...
Marc Cavazza, Cameron Smith, Daniel Charlton, Li Z...
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...
In this paper, we propose a general-purpose framework that harnesses the power of lightweight virtualization to track applications interactions in a scalable an efficient manner. ...
Yih Huang, Angelos Stavrou, Anup K. Ghosh, Sushil ...
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...