Towards a Taxonomy for Conversational Agents in Disaster Management

Authors

  • Johannes Göbel Martin-Luther-University Halle-Wittenberg Author
  • Hans Betke Fraunhofer Institue for Open Communication Systems Author
  • Stefan Sackmann Martin-Luther-University Halle-Wittenberg Author

Keywords:

conversational agent, chatbot, taxonomy, classification, disaster management

Abstract

Conversational agents are a technology that is used today in many different ways, for example as chatbots or voice dialog systems. While they are mostly used for applications in the business sector, research is also focusing on their use in other areas, such as medicine or disaster management. Events in recent years, such as the global Covid pandemic and advances in the field of language learning models, have led to many new approaches. Taxonomies are a good way to provide researchers and practitioners with a good overview of this growing field of research by classifying new and existing approaches. In this paper we present the current results in a methodological approach to develop a taxonomy for the classification of conversational agent approaches in disaster management. We describe the data basis of a structured literature search, the implementation of the method and the current dimensions and characteristics of the emerging taxonomy.

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Published

2024-05-21

How to Cite

Johannes Göbel, Betke, H., & Stefan Sackmann. (2024). Towards a Taxonomy for Conversational Agents in Disaster Management. ISCRAM Proceedings, 21. http://ojs.iscram.org/index.php/Proceedings/article/view/101

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