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Chatting About Processes in Digital Factories: A Model-Based Approach

Using chatbots in digital factories, to interact with devices through instant messages and voice commands, can make the understanding of underlying manufacturing, logistic and business processes easier for workers. Intelligent chatbots can provide flexible conversations and tailor them to the specif...

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Detalles Bibliográficos
Autores principales: Rooein, Donya, Bianchini, Devis, Leotta, Francesco, Mecella, Massimo, Paolini, Paolo, Pernici, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254550/
http://dx.doi.org/10.1007/978-3-030-49418-6_5
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author Rooein, Donya
Bianchini, Devis
Leotta, Francesco
Mecella, Massimo
Paolini, Paolo
Pernici, Barbara
author_facet Rooein, Donya
Bianchini, Devis
Leotta, Francesco
Mecella, Massimo
Paolini, Paolo
Pernici, Barbara
author_sort Rooein, Donya
collection PubMed
description Using chatbots in digital factories, to interact with devices through instant messages and voice commands, can make the understanding of underlying manufacturing, logistic and business processes easier for workers. Intelligent chatbots can provide flexible conversations and tailor them to the specific users who are interacting. The iCHAT framework conceptually represents all the aspects related to a conversation, with different facets for the user, the conversation flow, and the conversation contents, and combining them to obtain a flexible interaction with the user. In digital factories, flexible production is driven by processes combining different services. In this paper, we present an original approach extending iCHAT to be able to chat about processes, aiming at instructing a worker about a process.
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spelling pubmed-72545502020-05-28 Chatting About Processes in Digital Factories: A Model-Based Approach Rooein, Donya Bianchini, Devis Leotta, Francesco Mecella, Massimo Paolini, Paolo Pernici, Barbara Enterprise, Business-Process and Information Systems Modeling Article Using chatbots in digital factories, to interact with devices through instant messages and voice commands, can make the understanding of underlying manufacturing, logistic and business processes easier for workers. Intelligent chatbots can provide flexible conversations and tailor them to the specific users who are interacting. The iCHAT framework conceptually represents all the aspects related to a conversation, with different facets for the user, the conversation flow, and the conversation contents, and combining them to obtain a flexible interaction with the user. In digital factories, flexible production is driven by processes combining different services. In this paper, we present an original approach extending iCHAT to be able to chat about processes, aiming at instructing a worker about a process. 2020-05-05 /pmc/articles/PMC7254550/ http://dx.doi.org/10.1007/978-3-030-49418-6_5 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Rooein, Donya
Bianchini, Devis
Leotta, Francesco
Mecella, Massimo
Paolini, Paolo
Pernici, Barbara
Chatting About Processes in Digital Factories: A Model-Based Approach
title Chatting About Processes in Digital Factories: A Model-Based Approach
title_full Chatting About Processes in Digital Factories: A Model-Based Approach
title_fullStr Chatting About Processes in Digital Factories: A Model-Based Approach
title_full_unstemmed Chatting About Processes in Digital Factories: A Model-Based Approach
title_short Chatting About Processes in Digital Factories: A Model-Based Approach
title_sort chatting about processes in digital factories: a model-based approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254550/
http://dx.doi.org/10.1007/978-3-030-49418-6_5
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