Quantitative Assessment of Transfer of Training in the CAVE Virtual Environment and its Relevance to the National Information Infrastructure

如果有人假设虚拟现实将被用来训练人类完成关键的性能任务，那么关键就变成了找到什么样的训练可以在虚拟世界和现实世界之间转移。迄今为止，在CAVE虚拟环境中进行的实验表明，与未经训练的人群相比，接受过虚拟现实训练的受试者在完成相同任务时的表现有了显著提高。进一步的实验将定量评估可能是虚拟现实研究中最重要的方面——技术和训练任务之间的关系，这将导致最大程度的训练转移。早期的研究结果表明，延迟是一个严重的问题，将虚拟现实仅仅局限于视觉领域限制了它的训练应用。这项工作将使用vBNS国家网络上的CAVE-to-CAVE实验作为模型，将延迟测量的研究扩展到广域网。研究结果预计将在国家挑战领域具有广泛的适用性，特别是在制造业和教育领域。如果假设虚拟现实将被用来训练人类完成关键的性能任务，那么关键就变成了找到什么样的训练可以在虚拟世界和物理世界之间转移。迄今为止，在CAVE虚拟环境中进行的实验表明，与未经训练的人群相比，接受过虚拟现实训练的受试者在完成相同任务时的表现有了显著提高。进一步的实验将定量评估可能是虚拟现实研究中最重要的方面——技术和训练任务之间的关系，这将导致最大程度的训练转移。早期的研究结果表明，延迟是一个严重的问题，将虚拟现实仅仅局限于视觉领域限制了它的训练应用。这项工作将使用vBNS国家网络上的CAVE-to-CAVE实验作为模型，将延迟测量的研究扩展到广域网。预计研究结果将广泛适用于“国家挑战”领域，特别是制造业和教育领域。

If one is to posit that virtual reality will be used to train humans in critical performance tasks, the key becomes finding what sort of training is transferable between the virtual and physical worlds. Experiments performed thus far in the CAVE Virtual Environment showed significant performance improvement in virtual reality-trained subjects compared to the untrained population for the same task. Further experiments will quantitatively assess what may be perhaps the most important aspect of virtual reality research--the relationship between the technology and the training task which would result in a maximum transfer of training. Early results indicate that latency is a severe problem and that restricting virtual reality solely to the visual domain limits its training application. This work will extend the study of latency measurement to wide area networks using CAVE-to-CAVE experiments over the vBNS national network as the model. The results are expected to have broad applicability in the National Challenge areas, particularly in manufacturing and education If one is to posit that virtual reality will be used to train humans in critical performance tasks, the key becomes finding what sort of training is transferable between the virtual and physical worlds. Experiments performed thus far in the CAVE Virtual Environment showed significant performance improvement in virtual reality-trained subjects compared to the untrained population for the same task. Further experiments will quantitatively assess what may be perhaps the most important aspect of virtual reality research--the relationship between the technology and the training task which would result in a maximum transfer of training. Early results indicate that latency is a severe problem and that restricting virtual reality solely to the visual domain limits its training application. This work will extend the study of latency measurement to wide area networks using CAVE-to-CAVE experiments over the vBNS national network as the model. The results are expected to have broad applicability in the National Challenge areas, particularly in manufacturing and education.