Silva Jennifer N Avari, Privitera Mary Beth, Southworth Michael K, Silva Jonathan R
Department of Pediatrics, Cardiology. Washington University in St Louis, School of Medicine, St Louis, MO.
Department of Biomedical Engineering. Washington University in St Louis, McKelvey School of Engineering, St Louis, MO.
Virtual Augment Mixed Real (2020). 2020;12191:341-356. doi: 10.1007/978-3-030-49698-2_23. Epub 2020 Jul 10.
With the rapid expansion of hardware options in the extended realities (XRs), there has been widespread development of applications throughout many fields, including engineering, entertainment and medicine. Development of medical applications for the XRs have a unique set of considerations during development and human factors testing. Additionally, understanding the constraints of the user and the use case allow for iterative improvement. In this manuscript, the authors discuss the considerations when developing and performing human factors testing for XR applications, using the Enhanced ELectrophysiology Visualization and Interaction System (ĒLVIS) as an example. Additionally, usability and critical interpersonal interaction data from first-in-human testing of ĒLVIS are presented.
随着扩展现实（XR）中硬件选项的迅速扩展，包括工程、娱乐和医学在内的许多领域都广泛开发了应用程序。为XR开发医疗应用程序在开发和人因测试过程中有一系列独特的考量因素。此外，了解用户和用例的限制有助于进行迭代改进。在本手稿中，作者以增强型电生理可视化与交互系统（ĒLVIS）为例，讨论了为XR应用程序开发和进行人因测试时的考量因素。此外，还展示了ĒLVIS首次人体测试的可用性和关键人际交互数据。
