While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Providing effective real-time feedback for facial muscle training presents unique design challenges, given the complexity of facial musculature. We developed three AR feedback approaches varying in spatial relationship to the user: situated (screen-fixed), proxy-embedded (on a mannequin), and fully embedded (overlaid on the user's face). In a within-subjects study (N=24), we measured exercise accuracy, cognitive load, and user preference during facial training tasks. The embedded feedback reduced cognitive load and received higher preference ratings, while the situated feedback enabled more precise corrections and higher accuracy. Qualitative analysis revealed a key design tension: embedded feedback improved experience but created self-consciousness and interpretive difficulty. We distill these insights into design considerations addressing the trade-offs for facial training systems, with implications for rehabilitation, performance training, and motor skill acquisition.

翻译：尽管增强现实（AR）研究表明嵌入式可视化对粗大运动训练具有益处，但其在面部训练中的应用仍待深入探索。鉴于面部肌肉结构的复杂性，为面部肌肉训练提供有效的实时反馈带来了独特的设计挑战。我们开发了三种在空间关系上各异的AR反馈方法：情境式（屏幕固定）、代理嵌入式（在人体模型上）和全嵌入式（叠加于用户面部）。在一项被试内研究（N=24）中，我们测量了面部训练任务中的练习准确性、认知负荷和用户偏好。嵌入式反馈降低了认知负荷并获得更高的偏好评分，而情境式反馈则实现了更精确的纠正和更高的准确性。定性分析揭示了一个关键的设计矛盾：嵌入式反馈改善了体验，但引发了自我意识和解释困难。我们将这些发现提炼为设计考量，以应对面部训练系统的权衡问题，这对康复、表演训练和运动技能习得具有启示意义。