Basilica: Reconfigurable Multi-Party Dialogue Environment

Spoken Interfaces and Dialogue Processing

We are developing a framework that facilitates integrating the state-of-the-art in text classification with conversational agent technology. The goal of the instructional approach underlying the design of the VMT-Basilica framework is to maximize the benefit students receive from the interactions they have with one another by providing support for learning and effective collaboration in a way that is responsive to what is happening in the interaction in real time. A major goal of our research is to create a framework that allows us to track what is happening in the interaction so that automatically triggered support interventions can respond to it appropriately.