Generation of Collaborative Spoken Dialogue Contributions in Dynamic Task Environments

Natural Language Generation in Spoken and Written Dialogue

Volume

Papers from the 2003 AAAI Spring Symposium

Contents

We explain generation methods in a dialogue system allowing humans and complex devices or applications to collaborate in real-time dialogue about ongoing activities in dynamic environments. The generation component must be able to handle contexts where there are multiple topics being co-ordinated by the conversation and where world and system-states can vary independently. We describe turn-management, truthchecking, "relevance"-checking, and the incremental message selection, aggregation, and generation methods employed in this context. We demonstrate that these techniques are viable in a demonstration dialogue system for multi-modal conversations with semiautonomous mobile robots.