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Published on: May 20, 2018
Design principles for conversational agents to support Emergency Management Agencies
Stefan Stieglitz1, Lennart Hofeditz1, Felix Brünker1
1Digital Communication and Transformation, Department of Computer Science and Applied Cognitive Science, Faculty of Engineering, University of Duisburg-Essen, Forsthausweg 2, 47057 Duisburg, Germany.
Abstract:
Widespread mis- and disinformation during the COVID-19 social media "infodemic" challenge the effective response of Emergency Management Agencies (EMAs). Conversational Agents (CAs) have the potential to amplify and distribute trustworthy information from EMAs to the general public in times of uncertainty. However, the structure and responsibilities of such EMAs are different in comparison to traditional commercial organizations. Consequently, Information Systems (IS) design approaches for CAs are not directly transferable to this different type of organization. Based on semi-structured interviews with practitioners from EMAs in Germany and Australia, twelve meta-requirements and five design principles for CAs for EMAs were developed. In contrast to the traditional view of CA design, social cues should be minimized. The study provides a basis to design robust CAs for EMAs.
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