A Task Independent Oral Dialogue Model

This paper presents a human-machine dialogue model in the field of task-oriented dialogues. The originality of this model resides in the clear separation of dialogue knowledge from task knowledge in order to facilitate for the modeling of dialogue strategies and the maintenance of dialogue coherence. These two aspects are crucial in the field of oral dialogues with a machine considering the current state of the art in speech recognition and understanding techniques. One important theoretical innovation is that our dialogue model is based on a recent linguistic theory of dialogue modeling. The dialogue model considers real-life situations, as our work was based on a real man-machine corpus of dialogues. In this paper we describe the model and the designed formalisms used in the implementation of a dialogue manager module inside an oral dialogue system. An important outcome and proof of our model is that it is able to dialogue on three differ-• ent applications.