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Diabetes and conversational agents: the AIDA project case study
One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing educational content, there are now alternative forms of deli...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456073/ http://dx.doi.org/10.1007/s44163-021-00005-1 |
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author | Alloatti, Francesca Bosca, Alessio Di Caro, Luigi Pieraccini, Fabrizio |
author_facet | Alloatti, Francesca Bosca, Alessio Di Caro, Luigi Pieraccini, Fabrizio |
author_sort | Alloatti, Francesca |
collection | PubMed |
description | One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing educational content, there are now alternative forms of delivery thanks to the implementation of advanced Information Technologies systems such as conversational agents (CAs). In this context, we present the AIDA project: an ensemble of two different CAs intended to provide a TE tool for people with diabetes. The Artificial Intelligence Diabetes Assistant (AIDA) consists of a text-based chatbot and a speech-based dialog system. Their content has been created and validated by a scientific board. AIDA Chatbot—the text-based agent—provides a broad spectrum of information about diabetes, while AIDA Cookbot—the voice-based agent—presents recipes compliant with a diabetic patient’s diet. We provide a thorough description of the development process for both agents, the technology employed and their usage by the general public. AIDA Chatbot and AIDA Cookbot are freely available and they represent the first example of conversational agents in Italian to support diabetes patients, clinicians and caregivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44163-021-00005-1. |
format | Online Article Text |
id | pubmed-8456073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84560732021-09-22 Diabetes and conversational agents: the AIDA project case study Alloatti, Francesca Bosca, Alessio Di Caro, Luigi Pieraccini, Fabrizio Discov Artif Intell Case Study One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing educational content, there are now alternative forms of delivery thanks to the implementation of advanced Information Technologies systems such as conversational agents (CAs). In this context, we present the AIDA project: an ensemble of two different CAs intended to provide a TE tool for people with diabetes. The Artificial Intelligence Diabetes Assistant (AIDA) consists of a text-based chatbot and a speech-based dialog system. Their content has been created and validated by a scientific board. AIDA Chatbot—the text-based agent—provides a broad spectrum of information about diabetes, while AIDA Cookbot—the voice-based agent—presents recipes compliant with a diabetic patient’s diet. We provide a thorough description of the development process for both agents, the technology employed and their usage by the general public. AIDA Chatbot and AIDA Cookbot are freely available and they represent the first example of conversational agents in Italian to support diabetes patients, clinicians and caregivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s44163-021-00005-1. Springer International Publishing 2021-09-22 2021 /pmc/articles/PMC8456073/ http://dx.doi.org/10.1007/s44163-021-00005-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Case Study Alloatti, Francesca Bosca, Alessio Di Caro, Luigi Pieraccini, Fabrizio Diabetes and conversational agents: the AIDA project case study |
title | Diabetes and conversational agents: the AIDA project case study |
title_full | Diabetes and conversational agents: the AIDA project case study |
title_fullStr | Diabetes and conversational agents: the AIDA project case study |
title_full_unstemmed | Diabetes and conversational agents: the AIDA project case study |
title_short | Diabetes and conversational agents: the AIDA project case study |
title_sort | diabetes and conversational agents: the aida project case study |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456073/ http://dx.doi.org/10.1007/s44163-021-00005-1 |
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