Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Stieglitz, Stefan, Hofeditz, Lennart, Brünker, Felix, Ehnis, Christian, Mirbabaie, Milad, Ross, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
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
_version_ 1784632760513593344
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
work_keys_str_mv AT stieglitzstefan designprinciplesforconversationalagentstosupportemergencymanagementagencies
AT hofeditzlennart designprinciplesforconversationalagentstosupportemergencymanagementagencies
AT brunkerfelix designprinciplesforconversationalagentstosupportemergencymanagementagencies
AT ehnischristian designprinciplesforconversationalagentstosupportemergencymanagementagencies
AT mirbabaiemilad designprinciplesforconversationalagentstosupportemergencymanagementagencies
AT rossbjorn designprinciplesforconversationalagentstosupportemergencymanagementagencies