It is important that such systems are able to utilize the information contained in team discourse to gain insight into speakers' cognitive and performance states, and to make better predictions about the course of the interaction.
the finding that self-repairs are strong indicators of collaborative processes and are increasingly utilized in effective teams, suggests that the detection and interpretation of speech disfluency can be of great benefit to dialogue systems.