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Design principles for conversational agents to support Emergency Management Agencies
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 uncer...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757808/ https://www.ncbi.nlm.nih.gov/pubmed/35043026 http://dx.doi.org/10.1016/j.ijinfomgt.2021.102469 |
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author | Stieglitz, Stefan Hofeditz, Lennart Brünker, Felix Ehnis, Christian Mirbabaie, Milad Ross, Björn |
author_facet | Stieglitz, Stefan Hofeditz, Lennart Brünker, Felix Ehnis, Christian Mirbabaie, Milad Ross, Björn |
author_sort | Stieglitz, Stefan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8757808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87578082022-01-14 Design principles for conversational agents to support Emergency Management Agencies Stieglitz, Stefan Hofeditz, Lennart Brünker, Felix Ehnis, Christian Mirbabaie, Milad Ross, Björn Int J Inf Manage Research Article 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. The Authors. Published by Elsevier Ltd. 2022-04 2022-01-13 /pmc/articles/PMC8757808/ /pubmed/35043026 http://dx.doi.org/10.1016/j.ijinfomgt.2021.102469 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Article Stieglitz, Stefan Hofeditz, Lennart Brünker, Felix Ehnis, Christian Mirbabaie, Milad Ross, Björn Design principles for conversational agents to support Emergency Management Agencies |
title | Design principles for conversational agents to support Emergency Management Agencies |
title_full | Design principles for conversational agents to support Emergency Management Agencies |
title_fullStr | Design principles for conversational agents to support Emergency Management Agencies |
title_full_unstemmed | Design principles for conversational agents to support Emergency Management Agencies |
title_short | Design principles for conversational agents to support Emergency Management Agencies |
title_sort | design principles for conversational agents to support emergency management agencies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757808/ https://www.ncbi.nlm.nih.gov/pubmed/35043026 http://dx.doi.org/10.1016/j.ijinfomgt.2021.102469 |
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