Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction.

将 HPV 疫苗的动机性访谈转化为可计算的本体模型 ， 以实现自动 AI 会话交互。

• 发表时间: 2024 May
• 来源期刊: Ext Abstr Hum Factors Computing Syst
• DOI: 10.1145/3613905.3651051
• PMID: 38898884
• 文章类型: Journal Article
• 作者列表: Moore N,Amith M,Neumann AC,Hamilton J,Tang L,Savas LS,Tao C

关键词: cancer; chat bots; conversational agents; dialogue systems; human papillomavirus; ontology; oral health; patient-provider communication

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.

摘要

人乳头瘤病毒（HPV）疫苗接种低于预期。为了保护头颈部癌症的发病，需要创新的策略来提高费率。人工智能可能会提供一些解决方案，专门用对话代理来执行咨询方法。我们介绍了我们在开发对话模型以自动化动机访谈（MI）以鼓励HPV疫苗接种方面的努力。我们使用现有的基于本体的框架为MI开发了形式化的对话模型，以使用OWL2显示可计算的表示。新的话语分类与编码对话模型的本体一起被识别。我们的工作可以在GPLv.3下在GitHub上获得。我们讨论了基于本体的MI模型如何帮助标准化/形式化HPV疫苗摄取的MI咨询。我们未来的步骤将涉及评估本体模型的MI保真度，可操作性,并在与现场参与者的模拟中测试对话模型。