@inproceedings{634a6fd8334a4b35b401d5a5a648d47b,
title = "Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction",
abstract = "Human papillomavirus (HPV) vaccinations are lower than expected. To protect the onset of head and neck cancers, innovative strategies to improve the rates are needed. Artificial intelligence may offer some solutions, specifically conversational agents to perform counseling methods. We present our efforts in developing a dialogue model for automating motivational interviewing (MI) to encourage HPV vaccination. We developed a formalized dialogue model for MI using an existing ontology-based framework to manifest a computable representation using OWL2. New utterance classifications were identified along with the ontology that encodes the dialogue model. Our work is available on GitHub under the GPL v.3. We discuss how an ontology-based model of MI can help standardize/ formalize MI counseling for HPV vaccine uptake. Our future steps will involve assessing MI fidelity of the ontology model, operationalization, and testing the dialogue model in a simulation with live participants.",
keywords = "cancer, chat bots, conversational agents, dialogue systems, human papillomavirus, ontology, oral health, patient-provider communication",
author = "Nicole Moore and Muhammad Amith and Neumann, {Ana C.} and Jane Hamilton and Lu Tang and Savas, {Lara S.} and Cui Tao",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computing Machinery. All rights reserved.; 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
year = "2024",
month = may,
day = "11",
doi = "10.1145/3613905.3651051",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems",
}