界定可持续协作式混合现实（Mixed Reality）的研究范围
Scoping Sustainable Collaborative Mixed Reality
AI总结：
本文针对混合现实（MR）生态系统碳足迹引发的环境担忧，梳理了现有MR减碳研究的局限，界定了可持续协作式MR的研究范围，明确了相关挑战、现有方案与未来方向，并从相邻领域寻求思路以推动协作MR系统的可持续发展。
摘要：
混合现实（Mixed Reality，MR）正逐渐普及，已应用于教育、医疗保健及休闲以外的其他领域。尽管MR终端设备（如头显）的能源强度较低，但设备总数量以及包含云端和边缘端点的整个MR生态系统的资源需求可能十分可观。由此产生的MR运营碳足迹和隐含碳足迹已引发人们对其环境影响的担忧。近期研究通过探索硬件设计空间或网络优化，来探寻降低MR设备碳足迹的方法。然而，提升MR可持续性仍有许多其他途径有待挖掘，包括非处理器组件的节能以及协作MR生态系统中的碳感知优化。本文旨在明确提升MR可持续性的关键挑战、现有解决方案及有前景的研究方向。我们从嵌入式计算系统和移动计算系统的相邻领域中寻求见解，并概述需要全新解决方案的MR特有问题。我们还明确了必须攻克的挑战，以便研究人员、开发者和用户能够在协作MR系统中利用这些机遇。
英文摘要：
Mixed Reality (MR) is becoming ubiquitous as it finds its applications in education, healthcare, and other sectors beyond leisure. While MR end devices, such as headsets, have low energy intensity, the total number of devices and resource requirements of the entire MR ecosystem, which includes cloud and edge endpoints, can be significant. The resulting operational and embodied carbon footprint of MR has led to concerns about its environmental implications. Recent research has explored reducing the carbon footprint of MR devices by exploring hardware design space or network optimizations. However, many additional avenues for enhancing MR's sustainability remain open, including energy savings in non-processor components and carbon-aware optimizations in collaborative MR ecosystems. In this paper, we aim to identify key challenges, existing solutions, and promising research directions for improving MR sustainability. We explore adjacent fields of embedded and mobile computing systems for insights and outline MR-specific problems requiring new solutions. We identify the challenges that must be tackled to enable researchers, developers, and users to avail themselves of these opportunities in collaborative MR systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
