Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents
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RESEARCH
Open Access
Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents Muhammad Amith1 , Rebecca Z. Lin2 , Licong Cui1 , Dennis Wang3 , Anna Zhu4 , Grace Xiong5 , Hua Xu1 , Kirk Roberts1 and Cui Tao1* From The 4th International Workshop on Semantics-Powered Data Analytics Auckland, New Zealand. 27 October 2019
Abstract 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. Keywords: Ontology, Patient provider communication, Dialogue management, Natural language processing, Semantic web, Question-answering, Software agents, Human computer interaction, Vaccines
*Correspondence: [email protected] The University of Texas Health Science Center at Houston, School of Biomedical Informatics, 7000 Fannin Suite 600, 77030 Houston, TX, USA Full list of author information is available at the end of the article 1
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