用于医学和精神病学教育诊断培训的仿人病人机器人。

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2024-10-09 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1424845
Patricia Schwarz, Sandra Hellmers, Sebastian Spanknebel, Rene Hurlemann, Andreas Hein
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引用次数: 0

摘要

模拟学习是实践学习不可或缺的一部分,通常通过角色扮演游戏或专业演员模拟的病人来实现。在本文中,我们介绍了在医学教育中使用仿人机器人作为模拟病人来演示疾病症状的情况。在一项研究中,12 名参与者同时观看了机器人模拟病人和演员模拟病人的视频。我们使用自制的调查问卷询问了参与者对机器人模拟病人与人类演员模拟病人视频的主观印象。此外,我们还使用了技术互动亲和力量表。通过对问卷的评估,我们了解到机器人是否能够真实地表现病人,哪些功能还需要改进,以及参与者是否接受机器人模拟病人作为一种学习方法。67%的学员表示,除了观看病人表演视频外,他们还将使用机器人作为培训机会。大多数学员表示,他们认为让机器人按照自己的节奏重复案例研究非常有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Humanoid patient robot for diagnostic training in medical and psychiatric education.

Simulation-based learning is an integral part of hands-on learning and is often done through role-playing games or patients simulated by professional actors. In this article, we present the use of a humanoid robot as a simulation patient for the presentation of disease symptoms in the setting of medical education. In a study, 12 participants watched both the patient simulation by the robotic patient and the video with the actor patient. We asked participants about their subjective impressions of the robotic patient simulation compared to the video with the human actor patient using a self-developed questionnaire. In addition, we used the Affinity for Technology Interaction Scale. The evaluation of the questionnaire provided insights into whether the robot was able to realistically represent the patient which features still need to be improved, and whether the robot patient simulation was accepted by the participants as a learning method. Sixty-seven percent of the participants indicated that they would use the robot as a training opportunity in addition to the videos with acting patients. The majority of participants indicated that they found it very beneficial to have the robot repeat the case studies at their own pace.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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