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

Rooein, Donya; Bianchini, Devis; Leotta, Francesco; Mecella, Massimo; Puppa, Paolo; Pernici, Barbara

doi:10.1007/978-3-030-49418-6_5

Cited by 7 publications

(12 citation statements)

References 12 publications

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“…Its components are the following: (a) Interface, which manages the inputs and outputs of the devices that make the queries to the chatbot, allowing the communication between the user and the chatbot to be through messages or audio, and is carried out through mobile or desktop devices (Rooein, et al, 2020); (b) Controller, which receives the user's message and processes it using natural language, and then classifies it into different intentions that it has been taught to identify (Vijayalaksh, et al, 2019); (c) Dialog manager, divided into two domains, one generic to generate dialogues that resemble a natural conversation, and another specific, to answer specific queries to the user (Shapa, et al, 2021); and (d) User Controller, which sends the answer to the user, which can be a text, images, videos, etc. (Ekanayake et al, 2020).…”

Section: Chatbots Applied In the Agricultural Sectormentioning

confidence: 99%

Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru

Herrera

Miranda

Mauricio

2022

AOL

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At present, Peru's agricultural sector has a shortfall of professionals, so livestock producers cannot be provided with relevant and reliable information to ensure good nutrition and care for dairy cows, which affects productivity. Milchbot is a chatbot that answers queries about the feeding and care of dairy cows based on reliable documentation. To do so, a chatbot model was designed to cover the topics of feeding, care, news and frequently asked questions for the planning, feeding and care processes about dairy cows. The model consists of a friendly interface, a dialog engine and a search engine that allows you to find and provide information from a document storage. This model was implemented employing Watson Assistant and Discovery. Milchbot was used and evaluated by 6 livestock producers and 7 zootechnicians. The results of the usability and satisfaction surveys show a high rating for both livestock producers and zootechnicians, and it should be noted that zootechnicians gave very high ratings on satisfaction.

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Section: Chatbots Applied In the Agricultural Sectormentioning

confidence: 99%

Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru

Herrera

Miranda

Mauricio

2022

AOL

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“…The approach Fig. 2 The architecture for aCHAT-WF at the basis of all the engines is table-driven, following a configuration-driven approach [28] to system development (Configuration Data). These engines interact with each other to deliver an engaging conversation.…”

Section: Chatbot Architecturementioning

confidence: 99%

“…Starting from the proposal in [28], we developed a new modular architecture to achieve the decoupling between events and their handling. In aCHAT-WF, we designed a communication model between the main components to avoid asynchronous communications, which was the main drawback of the previous version of the framework.…”

Section: Chatbot Architecturementioning

confidence: 99%

“…This work is an extension of the paper [28], where we firstly introduced the main features of a framework for creating educational chatbots for teaching business processes. In this paper, we illustrate the modeling process that allows supporting the different stakeholders in the production of educational material for teaching business processes, we detail the procedure for describing and automatically generating a conversation from a process description in BPMN, and we illustrate a running prototype for the system and its validation with a group of teachers and students.…”

Section: Introductionmentioning

confidence: 99%

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aCHAT-WF: Generating conversational agents for teaching business process models

et al. 2021

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This paper proposes a general approach for using conversational interfaces such as chatbots to offer adaptive learning of business processes in an environment involving different actors. Adaptivity concerns both the content being proposed, the sequence of learning items, and the way the conversation is conducted. The original approach allows the development of sustainable chatbots and empowers various non-technical actors (authors, teachers, publishers, and learners) to control the chatbot features directly. The aCHAT-WF framework (adaptive CHATbot for WorkFlows), proposed in this paper for managing conversational interfaces, conceptually represents all the aspects related to a conversation about business processes, with different facets for the user, the conversation flow, and the conversation contents, combining them to obtain a flexible interaction with the user. The paper focuses on the different preparation phases for instructional material based on Business Process Modeling Notation (BPMN) models, separating the different roles involved in the construction of a chatbot for teaching business processes and with the possibility of defining different styles for the interaction with the users. The proposed method is configuration-driven, to facilitate the separation of the different aspects of the control of the interaction and the delivery of contents.

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“…In [30], human-chatbot conversations are demanded to a conversational state machine. A similar approach is proposed by the authors in [31], where the behavior of the chatbot is mapped on a process graph and behaves according to a finite state machine. It is necessary to underline that in both cases, the state of the system is stored in metadata associated with the nodes of the process graph.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Design and Execution of Integrated Clinical Pathway: A Simplified Meta-Model and Associated Methodology

et al. 2020

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Integrated clinical pathways (ICPs) are task-oriented care plans detailing the essential steps of the therapeutic pathway referring to a specific clinical problem with a patient’s expected clinical course. ICPs represent an effective tool for resource management in the public and private health domains. To be automatically executed, the ICP process has to be described by means of complex general purpose description language (GPDL) formalisms. However, GPDLs make the process model difficult to grasp by a human. On the other hand, the adoption of a reduced set of graphical constructs prevents a fully automated process execution due to the lack of information required by a machine. Unfortunately, it is difficult to find a balance between modelling language expressiveness and the automated execution of the modelled processes. In this paper, we present a meta-model based on a GPDL to organize the ICP process knowledge. This meta-model allows the management of ICP information in a way that is independent from the graphic representation of the adopted modelling standard. We also propose a general framework and a methodology that aim to guarantee a high degree of automation in process execution. In particular, the corresponding execution engine is implemented as a chatbot (integrated with social media), which plays a two-fold role: during the actual execution of the entire ICP, it acts as a virtual assistant and gathers the patient’s health data. Tests performed on a real ICP showed that, thanks to the proposed solution, the chatbot engine is able to engage in a dialogue with the patient. We provide discussion about how the system could be extended and how it could be seen as an alternative to Artificial Intelligence (AI) and Natural Language Processing (NLP)-based approaches.

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

Cited by 7 publications

References 12 publications

Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru

Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru

aCHAT-WF: Generating conversational agents for teaching business process models

Design and Execution of Integrated Clinical Pathway: A Simplified Meta-Model and Associated Methodology

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