Augmented Transition Networks (ATNs) for Dialog Control: A Longitudinal Study

C. Guinn and R. Hubal (USA)


Dialog, natural language processing, mixed initiative, augmented transition networks, virtual humans.


Our research team has implemented over a dozen spoken natural language dialog systems in varied domains over the past decade. Each system uses the same underlying dialog controller – an augmented transition network (ATN) – for maintaining a cohesive, natural conversation with the user. In this paper, we will examine the evolution of our use of ATNs, present statistical analysis of the features of our ATNs, and discuss lessons learned.

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