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Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents
BACKGROUND: Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we take the next step and introduce the Conversational Ontology Operator (COO), th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734717/ https://www.ncbi.nlm.nih.gov/pubmed/33317519 http://dx.doi.org/10.1186/s12911-020-01267-y |
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author | Amith, Muhammad Lin, Rebecca Z. Cui, Licong Wang, Dennis Zhu, Anna Xiong, Grace Xu, Hua Roberts, Kirk Tao, Cui |
author_facet | Amith, Muhammad Lin, Rebecca Z. Cui, Licong Wang, Dennis Zhu, Anna Xiong, Grace Xu, Hua Roberts, Kirk Tao, Cui |
author_sort | Amith, Muhammad |
collection | PubMed |
description | BACKGROUND: Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we take the next step and introduce the Conversational Ontology Operator (COO), the software engine harnessing PHIDO. We also developed a question-answering subsystem called Frankenstein Ontology Question-Answering for User-centric Systems (FOQUS) to support the dialogue interaction. METHODS: We tested both the dialogue engine and the question-answering system using application-based competency questions and questions furnished from our previous Wizard of OZ simulation trials. RESULTS: Our results revealed that the dialogue engine is able to perform the core tasks of communicating health information and conversational flow. Inter-rater agreement and accuracy scores among four reviewers indicated perceived, acceptable responses to the questions asked by participants from the simulation studies, yet the composition of the responses was deemed mediocre by our evaluators. CONCLUSIONS: Overall, we present some preliminary evidence of a functioning ontology-based system to manage dialogue and consumer questions. Future plans for this work will involve deploying this system in a speech-enabled agent to assess its usage with potential health consumer users. |
format | Online Article Text |
id | pubmed-7734717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77347172020-12-15 Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents Amith, Muhammad Lin, Rebecca Z. Cui, Licong Wang, Dennis Zhu, Anna Xiong, Grace Xu, Hua Roberts, Kirk Tao, Cui BMC Med Inform Decis Mak Research BACKGROUND: Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we take the next step and introduce the Conversational Ontology Operator (COO), the software engine harnessing PHIDO. We also developed a question-answering subsystem called Frankenstein Ontology Question-Answering for User-centric Systems (FOQUS) to support the dialogue interaction. METHODS: We tested both the dialogue engine and the question-answering system using application-based competency questions and questions furnished from our previous Wizard of OZ simulation trials. RESULTS: Our results revealed that the dialogue engine is able to perform the core tasks of communicating health information and conversational flow. Inter-rater agreement and accuracy scores among four reviewers indicated perceived, acceptable responses to the questions asked by participants from the simulation studies, yet the composition of the responses was deemed mediocre by our evaluators. CONCLUSIONS: Overall, we present some preliminary evidence of a functioning ontology-based system to manage dialogue and consumer questions. Future plans for this work will involve deploying this system in a speech-enabled agent to assess its usage with potential health consumer users. BioMed Central 2020-12-14 /pmc/articles/PMC7734717/ /pubmed/33317519 http://dx.doi.org/10.1186/s12911-020-01267-y Text en © The Author(s) 2020 Open Access This 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Amith, Muhammad Lin, Rebecca Z. Cui, Licong Wang, Dennis Zhu, Anna Xiong, Grace Xu, Hua Roberts, Kirk Tao, Cui Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title | Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title_full | Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title_fullStr | Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title_full_unstemmed | Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title_short | Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
title_sort | conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734717/ https://www.ncbi.nlm.nih.gov/pubmed/33317519 http://dx.doi.org/10.1186/s12911-020-01267-y |
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