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在行为科学、临床科学和学习科学中使用扩展现实(XR)需要基础设施和资金方面的更新。

Using XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding.

作者信息

Draschkow Dejan, Anderson Nicola C, David Erwan, Gauge Nathan, Kingstone Alan, Kumle Levi, Laurent Xavier, Nobre Anna C, Shiels Sally, Võ Melissa L-H

机构信息

Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.

Department of Experimental Psychology, University of Oxford, Oxford, UK.

出版信息

Policy Insights Behav Brain Sci. 2023 Oct;10(2):317-323. doi: 10.1177/23727322231196305. Epub 2023 Oct 26.

DOI:10.1177/23727322231196305
PMID:37900910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10602770/
Abstract

Extended reality (XR, including augmented and virtual reality) creates a powerful intersection between information technology and cognitive, clinical, and education sciences. XR technology has long captured the public imagination, and its development is the focus of major technology companies. This article demonstrates the potential of XR to (1) deliver behavioral insights, (2) transform clinical treatments, and (3) improve learning and education. However, without appropriate policy, funding, and infrastructural investment, many research institutions will struggle to keep pace with the advances and opportunities of XR. To realize the full potential of XR for basic and translational research, funding should incentivize (1) appropriate training, (2) open software solutions, and (3) collaborations between complementary academic and industry partners. Bolstering the XR research infrastructure with the right investments and incentives is vital for delivering on the potential for transformative discoveries, innovations, and applications.

摘要

扩展现实(XR,包括增强现实和虚拟现实)在信息技术与认知科学、临床科学及教育科学之间创造了一个强大的交叉点。XR技术长期以来激发着公众的想象力,其发展是各大科技公司的关注焦点。本文展示了XR在以下方面的潜力:(1)提供行为洞察;(2)变革临床治疗;(3)改善学习与教育。然而,如果没有适当的政策、资金和基础设施投资,许多研究机构将难以跟上XR的发展步伐并把握其带来的机遇。为了实现XR在基础研究和转化研究方面的全部潜力,资金应激励:(1)进行适当培训;(2)采用开放软件解决方案;(3)促进互补的学术和行业伙伴之间的合作。通过正确的投资和激励措施加强XR研究基础设施,对于实现变革性发现、创新和应用的潜力至关重要。

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