Lee Miran, Lee Minjeong, Kim Suyeong
Department of Computer and Information Engineering, Daegu University, Gyeongsan, Republic of Korea.
Graduate School of IT Convergence Engineering, Daegu University, Gyeongsan, Republic of Korea.
Front Robot AI. 2024 Sep 26;11:1419584. doi: 10.3389/frobt.2024.1419584. eCollection 2024.
Care and nursing training (CNT) refers to developing the ability to effectively respond to patient needs by investigating their requests and improving trainees' care skills in a caring environment. Although conventional CNT programs have been conducted based on videos, books, and role-playing, the best approach is to practice on a real human. However, it is challenging to recruit patients for continuous training, and the patients may experience fatigue or boredom with iterative testing. As an alternative approach, a patient robot that reproduces various human diseases and provides feedback to trainees has been introduced. This study presents a patient robot that can express feelings of pain, similarly to a real human, in joint care education. The two primary objectives of the proposed patient robot-based care training system are (a) to infer the pain felt by the patient robot and intuitively provide the trainee with the patient's pain state, and (b) to provide facial expression-based visual feedback of the patient robot for care training.
护理与护理培训（CNT）是指通过调查患者需求并在关怀环境中提高学员的护理技能，来培养有效应对患者需求的能力。尽管传统的CNT项目是基于视频、书籍和角色扮演开展的，但最佳方法是在真人身上进行实践。然而，招募患者进行持续培训具有挑战性，并且患者可能会因反复测试而感到疲劳或厌烦。作为一种替代方法，已经引入了一种能够再现各种人类疾病并向学员提供反馈的患者机器人。本研究展示了一种在联合护理教育中能够像真人一样表达疼痛感受的患者机器人。所提出的基于患者机器人的护理培训系统的两个主要目标是：（a）推断患者机器人所感受到的疼痛，并直观地向学员提供患者的疼痛状态；（b）为护理培训提供基于面部表情的患者机器人视觉反馈。
