We explore multimodal interaction models in virtual environments by using interfaces based on synergic recognition of multiple modalities, and create intelligent agents and synthetic characters that can interact with users in a natural way, inspired in the way humans interact with each other.
Mission
Bridging the gap between natural spoken language and the underlying semantic information.
Objectives
Explore multimodal interaction models in virtual environments by using interfaces based on synergic recognition of multiple modalities;
Create intelligent agents and synthetic characters that can interact with users in a natural way, inspired in the way humans interact with each other;
Bridge the gap between natural spoken language and the underlying semantic information;
Create and develop new architectures of cooperative virtual environments;
Develop innovative applications in areas such as games, health, and learning environments.