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.

Chatting about processes in digital factories: A model-based approach / Rooein, Donya; Bianchini, Devis; Leotta, Francesco; Mecella, Massimo; Paolini, Paolo; Pernici, Barbara. - 387:(2020), pp. 70-84. (Intervento presentato al convegno 21st International Conference on Business Process Modeling, Development and Support, BPMDS 2020, and the 25th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2020, held at the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020 tenutosi a Grenoble; France) [10.1007/978-3-030-49418-6_5].

Chatting about processes in digital factories: A model-based approach

Leotta Francesco
;
Mecella Massimo
;
2020

Abstract

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
21st International Conference on Business Process Modeling, Development and Support, BPMDS 2020, and the 25th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2020, held at the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020
Chatbot modelling; Conversational user interface; Digital factory; Industry 4.0
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Chatting about processes in digital factories: A model-based approach / Rooein, Donya; Bianchini, Devis; Leotta, Francesco; Mecella, Massimo; Paolini, Paolo; Pernici, Barbara. - 387:(2020), pp. 70-84. (Intervento presentato al convegno 21st International Conference on Business Process Modeling, Development and Support, BPMDS 2020, and the 25th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2020, held at the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020 tenutosi a Grenoble; France) [10.1007/978-3-030-49418-6_5].
File allegati a questo prodotto
File Dimensione Formato  
Rooein_Chatting_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.53 MB
Formato Adobe PDF
3.53 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1419402
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 11
social impact