Abstract
The paper presents the process of conversational AI patient design and development for SBIRT skills training. SBIRT (Screening, Brief Intervention, and Referral to Treatment) is a comprehensive public behavior health approach that is commonly used by nurses and social workers to detect potential substance abuse in their patients. In the VR exam room, a nursing student practices SBIRT skills with a virtual patient powered by a conversational AI system. The development of the VR patient system was started by collecting sample dialogs from a standardized patient and a nurse practitioner. In addition, extended conversations were collected through prototypes with different interaction modes. With the intelligent virtual patient, the “SBIRT VR Training Program'’ provides the user with a diverse selection of simulated environments and personalized training. Our research focuses on the efficacy of a VR-based conversational AI training on a student’s acquisition and retention of the SBIRT training material.
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Seo, J.H. et al. (2023). Development of Virtual Reality SBIRT Skill Training with Conversational AI in Nursing Education. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2023. Lecture Notes in Computer Science(), vol 13916. Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_59
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DOI: https://doi.org/10.1007/978-3-031-36272-9_59
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