A Reference Model for Dialog Management in Conversational Agents in High-Engagement Use Cases

Authors

  • Nima Samsami Worms University of Applied Sciences
  • Stephan Kurpjuweit Worms University of Applied Sciences

Keywords:

Conversational Agent, Dialog Management, Natural Language Understanding, Natural Language Generation

Abstract

The objective of our research is to systematically derive a refined reference model for the dialog management component of a conversational agent. Firstly, we characterize high-engagement conversational agents and derive solution strategies to address this class of agents. Secondly, we propose a set of conceptual components that refines the dialog management component and addresses the solution strategies. Thirdly, we survey implementation approaches for the individual components of the reference model.

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Published

10.12.2021