A Reference Model for Dialog Management in Conversational Agents in High-Engagement Use Cases
Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium. Bd. UR-AI 2021. 2021 S. 167 - 174
Erscheinungsjahr: 2021
Publikationstyp: Zeitschriftenaufsatz (Konferenzbeitrag)
Sprache: Englisch
Doi/URN: 10.48537/gdsj-nz68
Geprüft | Bibliothek |
Inhaltszusammenfassung
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 refer...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.» weiterlesen» einklappen
Klassifikation
DDC Sachgruppe:
Informatik
Verknüpfte Personen
- Nima Samsami
- Mitarbeiter/in
(Angewandte Informatik)
- Stephan Kurpjuweit
- Professor
(Mobile Computing)