In this paper we report on our work on a prototype route navigation dialogue system for use in a vehicle. The system delivers spoken turn-by-turn directions, and has been developed to accept naturally phrased navigation queries, as part of our overall effort to create an in-vehicle information system which delivers information as requested while placing minimal cognitive load on the driver.

A chatbot system is a conversational agent that interacts with a user turn by turn using natural language. To simulate human chat, we developed a java program to convert a machine readable text (corpus) to the ALICE-AIML chatbot linguistic knowledge representation format. An important problem in corpus-trained chatbot development is how to model dialogue turn-taking. In the ALICE-AIML represent...