Conversational Virtual Agent Application for Private Communication

In this paper, we propose a conversational virtual agent application in mobile phone which covers the lack of interactivity of unidirectional private communication. In this application the agent automatically recognize user situation, such as location, locomotion and interruptability using sensors installed in mobile phone. The agent also behaves as if the target person which user wants to contact with behaves based on the Egogram estimation from weblog of this target user. In preliminary experiments, the estimation methods using in this application achieve sufficient accuracy for our purpose at this stage.