Chen Pao-Ju, Liou Wei-Kai
Department of Nursing, College of Healthcare and Management, Asia Eastern University of Science and Technology, New Taipei City 220303, Taiwan.
Empower Vocational Education Research Center, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan.
Nurse Educ Pract. 2025 May;85:104383. doi: 10.1016/j.nepr.2025.104383. Epub 2025 Apr 28.
(1) Describe the development process for the ChatGPT-based Virtual Reality Obstetric Nursing Communication Simulation System (ChatVR-ONCS), (2) explore its effects on communication competence in nursing students and (3) determine the perceived usability of ChatVR-ONCS and learning experiences in nursing students.
Communication is crucial in obstetric nursing, yet traditional teaching methods often fail to enhance students' relevant skills due to their lack of realism. Therefore, developing a training tool that offers high usability, immersive experiences and real-time interactivity is vital.
Mixed research methods were applied involving pre- and post-tests within a single group of 52 nursing students at a Taiwanese science and technology university as well as a focus group.
The Visual Analog Scale for Communication Self-Confidence, Maternal and Newborn Care Communication Assessment Form and System Usability Scale were administered before the intervention (T0), immediately after the intervention (T1) and 3 months after the intervention (T2). A focus group was conducted after T2 to explore their learning experience and obtain feedback on the proposed system.
The participants' communication self-confidence, communication skills and ratings on system usability significantly improved after the ChatVR-ONCS intervention, with the effects lasting for 3 months. The qualitative analysis demonstrated a high level of user satisfaction and the positive effects of the system in promoting communication skill development.
By integrating artificial intelligence and virtual reality technologies, ChatVR-ONCS not only significantly enhances the effectiveness of nurse-patient communication training but also provides empirical support for digital development in nursing education.
（1）描述基于ChatGPT的虚拟现实产科护理沟通模拟系统（ChatVR-ONCS）的开发过程；（2）探讨其对护生沟通能力的影响；（3）确定ChatVR-ONCS的感知可用性以及护生的学习体验。
沟通在产科护理中至关重要，但传统教学方法往往因缺乏真实性而无法有效提高学生的相关技能。因此，开发一种具有高可用性、沉浸式体验和实时交互性的培训工具至关重要。
采用混合研究方法，对台湾一所科技大学的52名护生进行单组前后测试，并开展焦点小组访谈。
在干预前（T0）、干预后即刻（T1）和干预后3个月（T2）分别使用沟通自信视觉模拟量表、母婴护理沟通评估表和系统可用性量表。在T2之后进行焦点小组访谈，以探讨他们的学习体验并获取对该系统的反馈。
ChatVR-ONCS干预后，参与者的沟通自信、沟通技巧和系统可用性评分显著提高，且效果持续3个月。定性分析表明用户满意度较高，且该系统对促进沟通技能发展具有积极作用。
通过整合人工智能和虚拟现实技术，ChatVR-ONCS不仅显著提高了护患沟通培训的效果，还为护理教育的数字化发展提供了实证支持。
