Anatomy education has been revolutionized through digital media, resulting in major advances in realism, portability, scalability, and user satisfaction. However, while such approaches may well be more portable, realistic, or satisfying than traditional photographic presentations, it is less clear that they have any superiority in terms of student learning. In this study, it was hypothesized that virtual and mixed reality presentations of pelvic anatomy will have an advantage over two‐dimensional (2D) presentations and perform approximately equal to physical models and that this advantage over 2D presentations will be reduced when stereopsis is decreased by covering the non‐dominant eye. Groups of 20 undergraduate students learned pelvic anatomy under seven conditions: physical model with and without stereo vision, mixed reality with and without stereo vision, virtual reality with and without stereo vision, and key views on a computer monitor. All were tested with a cadaveric pelvis and a 15‐item, short‐answer recognition test. Compared to the key views, the physical model had a 70% increase in accuracy in structure identification; the virtual reality a 25% increase, and the mixed reality a non‐significant 2.5% change. Blocking stereopsis reduced performance on the physical model by 15%, on virtual reality by 60%, but by only 2.5% on the mixed reality technology. The data show that virtual and mixed reality technologies tested are inferior to physical models and that true stereopsis is critical in learning anatomy.

中文翻译：

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立体视觉在虚拟和混合现实学习环境中的关键作用。

解剖学教育已经通过数字媒体发生了革命性变化，从而在真实性，可移植性，可伸缩性和用户满意度方面取得了重大进步。但是，尽管这种方法可能比传统的摄影演示更便携，更现实或更令人满意，但尚不清楚它们在学生学习方面是否具有优势。在这项研究中，假设骨盆解剖学的虚拟和混合现实演示文稿将比二维（2D）演示文稿具有优势，并且其表现近似于物理模型，并且当降低立体视时，与二维演示文稿相比，这种优势将降低。遮住不占优势的眼睛。由20名本科生组成的小组在以下7种情况下学习了骨盆解剖：带或不带立体视觉的物理模型，带有和不带有立体视觉的混合现实，带有和不带有立体视觉的虚拟现实以及计算机显示器上的关键视图。所有这些均通过尸体骨盆和15个项目的简短答案识别测试进行了测试。与关键视图相比，物理模型在结构识别方面的准确性提高了70％；虚拟现实增加了25％，混合现实增加了2.5％，无明显变化。阻止立体视会使物理模型的性能降低15％，虚拟现实的性能降低60％，而混合现实技术的性能仅降低2.5％。数据表明，经过测试的虚拟现实和混合现实技术不如物理模型，真正的立体视对于学习解剖学至关重要。所有这些均通过尸体骨盆和15个项目的简短答案识别测试进行了测试。与关键视图相比，物理模型在结构识别方面的准确性提高了70％；虚拟现实增加了25％，混合现实增加了2.5％，无明显变化。阻止立体视会使物理模型的性能降低15％，虚拟现实的性能降低60％，而混合现实技术的性能仅降低2.5％。数据表明，经过测试的虚拟现实和混合现实技术不如物理模型，真正的立体视对于学习解剖学至关重要。所有这些均通过尸体骨盆和15个项目的简短答案识别测试进行了测试。与关键视图相比，物理模型在结构识别方面的准确性提高了70％；虚拟现实增加了25％，混合现实增加了2.5％，无明显变化。阻止立体视会使物理模型的性能降低15％，虚拟现实的性能降低60％，而混合现实技术的性能仅降低2.5％。数据表明，经过测试的虚拟现实和混合现实技术不如物理模型，真正的立体视对于学习解剖学至关重要。阻止立体视会使物理模型的性能降低15％，虚拟现实的性能降低60％，而混合现实技术的性能仅降低2.5％。数据表明，经过测试的虚拟现实和混合现实技术不如物理模型，真正的立体视对于学习解剖学至关重要。阻止立体视会使物理模型的性能降低15％，虚拟现实的性能降低60％，而混合现实技术的性能仅降低2.5％。数据表明，经过测试的虚拟现实和混合现实技术不如物理模型，真正的立体视对于学习解剖学至关重要。