Lightweight augmented reality (AR) glasses are increasingly entering everyday use, extending interaction design beyond short, isolated sessions. However, most existing gesture vocabularies are inherited from VR headsets or early AR goggles. These systems tend to prioritize recognizer accuracy while overlooking fatigue, sustainability, and social legibility in daily contexts. To address this gap, we collaborated with physical therapists (PTs) to reimagine gesture design for everyday AR, drawing on their expertise in safe and sustainable movement. Through a review of 104 AR applications, we identified 15 common gesture intents and implemented an on-device gesture generator. Ten licensed physical therapists, with an average of 14.8 years of professional experience, then shaped these gesture intents through three iterative stages: unaided gesture performance, PT-guided gesture substitution, and stage-aware card sorting. This work contributes (1) a PT-informed gesture translation method, (2) the Everyday-AR Golden Ergonomic Canvas, and (3) a stage-aware social legibility framework that illustrates how gesture suitability shifts with social readability. Together, these contributions provide a recognizer-agnostic reference framework for designing sustainable and socially coherent gesture vocabularies for lightweight AR glasses.

翻译：轻量级增强现实（AR）眼镜正日益进入日常使用，将交互设计从短暂、孤立的会话场景扩展到更广泛的日常情境。然而，现有的大多数手势词汇库继承自虚拟现实（VR）头显或早期AR眼镜。这些系统往往优先考虑识别器的准确性，而忽视了日常使用中的疲劳度、可持续性以及社交可辨识性。为弥补这一不足，我们与物理治疗师合作，借鉴其在安全与可持续运动方面的专业知识，重新构想适用于日常AR的手势设计。通过对104个AR应用进行综述，我们识别出15种常见的手势意图，并实现了一个设备端手势生成器。随后，十位平均拥有14.8年专业经验的持证物理治疗师通过三个迭代阶段对这些手势意图进行塑造：无辅助手势执行、物理治疗师引导的手势替代，以及情境感知卡片分类。本研究的贡献包括：（1）一种基于物理治疗学知识的手势转换方法；（2）面向日常AR的“黄金人体工学画布”设计工具；（3）一个情境感知的社交可辨识性框架，该框架阐明了手势的适用性如何随社交可读性而变化。这些成果共同构成了一个与识别器无关的参考框架，用于为轻量级AR眼镜设计可持续且社交协调的手势词汇库。