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. 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 find trends and takeaways from the fourth VAM-HRI workshop. These trends highlight the expressive capability of TOKCS while also helping frame newer trends and future work recommendations for VAM-HRI research.
翻译:已开始形成一些框架,对虚拟、增强和混合现实(VAM)技术进行分类,这些技术为便利人类机器人互动提供了隐性、直觉界面,但这些框架未能捕捉到VAM-HRI不断增长的子领域的关键特征,而且可能难以始终如一地适用。这项工作以这些先前框架为基础,创建了VAM-HRI系统关键特征组织工具(TOKCS)。TOKCS将先前工作中使用的连续尺度分开,以便更一致地分类,并增加了与机器人内部模型、锚点、可操纵性以及系统软件和硬件有关的额外特征。为了展示工具的能力,TOKCS应用了第四次VAM-HRI讲习班的趋势和套件。这些趋势突出了TOKCS的表达能力,同时帮助为VAM-HRI研究制定较新的趋势和未来工作建议。