临床应用沉浸式界面:现状与未来展望

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Neurorobotics Pub Date : 2024-11-27 eCollection Date: 2024-01-01 DOI:10.3389/fnbot.2024.1362444
Naïg Chenais, Arno Görgen
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引用次数: 0

摘要

数字沉浸式技术在临床研究和实践中日益突出,包括医学交流和技术教育、健康严肃游戏、心理治疗和神经康复接口。世界范围内对数字健康和数字治疗的热情促使了许多应用和交互方法的开发和测试。然而,方法的缺乏一致性和构建环境的特殊性导致了对新的沉浸式设计的渴望与这些技术的长期临床采用之间的差距越来越大。在协调虚拟环境设计师和临床医生的不同优先级时,出现了一些挑战。本文旨在研究基于扩展现实的医疗沉浸式界面的使用和机制,并强调具体的设计挑战。从虚拟环境到临床环境的技能转移常常受到感知和吸引力因素的干扰。我们认为,开发和测试的多学科方法,以及对沉浸式培训基础的共享机制的全面认识,对于将扩展现实可持续地整合到临床环境中至关重要。本综述讨论了多层次感官框架在扩展现实设计中的应用,旨在开发适合治疗和教育目的的以大脑为中心的沉浸式界面。这样的框架必须包括更广泛的设计问题,例如将数字技术整合到社会心理护理模式、临床验证和相关的伦理问题中。我们建议,弥合虚拟差距的努力应包括混合方法和神经设计方法,将用户行为和生理反馈整合到迭代设计阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immersive interfaces for clinical applications: current status and future perspective.

Digital immersive technologies have become increasingly prominent in clinical research and practice, including medical communication and technical education, serious games for health, psychotherapy, and interfaces for neurorehabilitation. The worldwide enthusiasm for digital health and digital therapeutics has prompted the development and testing of numerous applications and interaction methods. Nevertheless, the lack of consistency in the approaches and the peculiarity of the constructed environments contribute to an increasing disparity between the eagerness for new immersive designs and the long-term clinical adoption of these technologies. Several challenges emerge in aligning the different priorities of virtual environment designers and clinicians. This article seeks to examine the utilization and mechanics of medical immersive interfaces based on extended reality and highlight specific design challenges. The transfer of skills from virtual to clinical environments is often confounded by perceptual and attractiveness factors. We argue that a multidisciplinary approach to development and testing, along with a comprehensive acknowledgement of the shared mechanisms that underlie immersive training, are essential for the sustainable integration of extended reality into clinical settings. The present review discusses the application of a multilevel sensory framework to extended reality design, with the aim of developing brain-centered immersive interfaces tailored for therapeutic and educational purposes. Such a framework must include broader design questions, such as the integration of digital technologies into psychosocial care models, clinical validation, and related ethical concerns. We propose that efforts to bridge the virtual gap should include mixed methodologies and neurodesign approaches, integrating user behavioral and physiological feedback into iterative design phases.

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来源期刊
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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