一种组织人机交互系统虚拟、增强和混合现实关键特征的工具：综合VAM-HRI趋势和要点
A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways
摘要：
框架已经开始出现，以分类虚拟，增强和混合现实（VAM）技术，提供沉浸式，直观的界面，以促进人机交互。然而，这些框架未能捕捉到VAM-HRI不断增长的子领域的关键特征，并且由于连续的规模而难以一致地应用。这项工作建立在这些先前的框架，通过创建一个工具，组织VAM-HRI系统的关键特征（TOKCS）。TOKCS将先前工作中使用的连续尺度离散化，以实现更一致的分类，并增加了与机器人内部模型、锚点位置、可操作性以及系统软件和硬件相关的其他特征。为了展示该工具的能力，TOKCS应用于第四届VAM-HRI研讨会的十篇论文，并检查了主要趋势和要点。这些趋势突出了TOKCS的表达能力，同时也有助于为VAM-HRI研究制定新的趋势和未来的工作建议。
英文摘要：
Frameworks have begun to emerge to categorize Virtual, Augmented, and Mixed Reality (VAM) technologies that provide immersive, intuitive interfaces to facilitate Human-Robot Interaction. These frameworks, however, fail to capture key characteristics of the growing subfield of VAM-HRI and can be difficult to consistently apply due to continuous scales. This work builds upon these prior frameworks through the creation of a Tool for Organizing Key Characteristics of VAM-HRI Systems (TOKCS). TOKCS discretizes the continuous scales used within prior works for more consistent classification and adds additional characteristics related to a robot's internal model, anchor locations, manipulability, and the system's software and hardware. To showcase the tool's capability, TOKCS is applied to the ten papers from the fourth VAM-HRI workshop and examined for key trends and takeaways. These trends highlight the expressive capability of TOKCS while also helping frame newer trends and future work recommendations for VAM-HRI research.
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。
