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The Human Muscular Arm Avatar as an Interactive Visualization Tool in Learning Anatomy: Medical Students’ Perspectives

机译:人类肌肉臂的头像作为学习解剖学中的交互式可视化工具:医学生的观点

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The perception of body ownership creates a sense of embodiment, which can be a powerful learning tool. Embodied learning can occur by watching an individual's body movement and also via human-computer interactions, such as virtual reality (VR) and augmented reality (AR). In this article, we designed and implemented a novel virtual body-ownership AR/VR tool for human anatomy-the human muscular arm avatar (HMAA). HMAA utilizes embodiment-based body ownership to explore the human hand/forearm musculature. The HMAA was trialed with medical students to explore the extent to which it could be used to aid student learning. The key findings of the usability study suggest that 98% (N = 100) of students found the tool extremely useful; 83% reported that the tool allowed them to engage with the learning materials, peers, and content effectively. Also, 10% of students mentioned that the HMAA fostered an embodied learning experience. This triggered an intentional exploration of instances suggesting embodiment in the data. HMAA is believed to have allowed individuals to visualize and conceptualize abstract ideas that would have been otherwise challenging using static models. The outcomes of this article indicate the significant potential of body-ownership-based self-learning tools for anatomy. However, further studies using learning outcomes are needed to investigate the potential advantages of body-ownership-based tools compared to current learning techniques.
机译:对身体所有权的感知创造了一个实施例的感觉,这可以是一个强大的学习工具。通过观看个人的身体运动,并且还通过人机交互,例如虚拟现实(VR)和增强现实(AR)来实现所体现的学习。在本文中,我们为人类解剖结构设计和实施了一种新的虚拟机身所有权AR / VR工具 - 人类肌肉手臂头像(HMAA)。 HMAA利用基于一个基于一个基于的身体所有权来探索人类手/前臂肌肉组织。 HMAA经医学院试验,探索它可以用来援助学生学习的程度。可用性研究的主要结果表明,98%(n = 100)名的学生发现该工具非常有用; 83%的人报告说,该工具允许他们有效地与学习材料,同行和内容进行互动。此外,10%的学生提到HMAA培养了一个体现的学习经历。这触发了对数据中的实例的故意探索。据信HMAA允许个人可视化和概念化使用静态模型的挑战。本文的结果表明了对解剖学的基于身体所有权的自学工具的重要潜力。然而,需要使用学习结果进行进一步的研究来调查基于身体所有权的工具的潜在优势与当前的学习技术相比。

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