Developing a Multimodal Clinical Nursing Simulation with a Virtual Preceptor in AR
- Authors
- Nam, Hyeongil; Yeo, Ji-Young; Lee, Kisub; Kim, Kanasoo; Park, Jong-II
- Issue Date
- Mar-2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Education; HCI design and evaluation methods; Human computer interaction (HCI); Human computer interaction (HCI); Human-centered computing; Interaction paradigms; Interactive learning environments; Mixed / augmented reality; Human-centered computing; User studies; Applied computing
- Citation
- Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024, pp 793 - 794
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024
- Start Page
- 793
- End Page
- 794
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/195319
- DOI
- 10.1109/VRW62533.2024.00193
- ISSN
- 0000-0000
- Abstract
- Nursing education plays a crucial role in preparing future nurses to provide high-quality patient care. To ensure its effectiveness, it is imperative to instruct nursing students in discerning patient signs/symptoms using a range of sensory modalities. Moreover, pairing nursing students with expert preceptors offers a highly effective means of providing valuable feedback and mentorship. In this paper, we propose a novel Augmented Reality (AR) simulation framework for effective clinical nursing education with multimodal signs/symptoms and a preceptor agent to provide guidance/instruction. Using the proposed framework, we developed an AR nurse training system that resembles practical clinical nursing environments.
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