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  4. Towards a Taxonomy for Conversational Agents in Disaster Management
 
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2024
Conference Paper
Title

Towards a Taxonomy for Conversational Agents in 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.
Author(s)
Göbel, Johannes
Martin-Luther-Universität Halle-Wittenberg
Betke, Hans J.
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Sackmann, Stefan
Martin-Luther-Universität Halle-Wittenberg
Mainwork
Proceedings of the International Iscram Conference
Funder
Bundesministerium für Bildung und Forschung  
Conference
21st International ISCRAM Conference, ISCRAM 2024
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • chatbot

  • classification

  • conversational agent

  • disaster management

  • taxonomy

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