Evidence
Ext Abstr Hum Factors Computing Syst. 2024 May;2024:341. doi: 10.1145/3613905.3651051. Epub 2024 May 11.
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.
PMID:38898884 | PMC:PMC11185982 | DOI:10.1145/3613905.3651051
Estimated reading time: 3 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Evidence Blueprint
Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
