The C2BDI agent architecture for teamwork coordination using spoken dialogues between virtual agents and users

Abstract

In Collaborative Virtual Environments (VEs) for Training, users have to learn how to perform a collaborative task and also how to coordinate with teammates' activities. Efficient coordination requires teammates to exchange information about their beliefs, goals and plans. The collaborative- conversational BDI agent (C2BDI) endows virtual agents with first, deliberative capabilities about the interdependency of their activities, and second, with task-oriented conversational capabilities that support multiparty spoken dialogues helping them to coordinate their activities with teammates [2]. This proposed solution has been used in two virtual reality applications: a real training scenario [1] and an application dedicated to scientific experiments [2]. The main motivations of this last was to control the characteristics of the collective activity and to be more extensible. © 2014 Springer International Publishing Switzerland.