Translating Motivational Interviewing for the HPV Vaccine Into a Computable Ontology Model for Automated AI Conversational Interaction

Authors

Nicole Moore
Muhammad Amith
Ana C Neumann
Jane Hamilton
Lu Tang
Lara S Savas
Cui Tao

Publication Date

5-1-2024

Journal

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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

conversational agents, chat bots, human papillomavirus, ontology, dialogue systems, cancer, oral health, patient-provider communication

DOI

10.1145/3613905.3651051

PMID

38898884

PMCID

PMC11185982

PubMedCentral® Posted Date

6-19-2024

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes