Motion capture systems, used across various domains, make body representations concrete through technical processes. We argue that the measurement of bodies and the validation of measurements for motion capture systems can be understood as social practices. By analyzing the findings of a systematic literature review (N=278) through the lens of social practice theory, we show how these practices, and their varying attention to errors, become ingrained in motion capture design and innovation over time. Moreover, we show how contemporary motion capture systems perpetuate assumptions about human bodies and their movements. We suggest that social practices of measurement and validation are ubiquitous in the development of data- and sensor-driven systems more broadly, and provide this work as a basis for investigating hidden design assumptions and their potential negative consequences in human-computer interaction.

翻译：动作捕捉系统广泛应用于各个领域，通过技术过程将身体表征具体化。我们主张，动作捕捉系统中身体的测量与验证可以被理解为社会实践。通过从社会实践理论的视角分析一项系统性文献综述（N=278）的发现，我们揭示了这些实践如何随时间演变，及其对误差的不同关注如何嵌入动作捕捉的设计与创新过程。此外，我们展示了当代动作捕捉系统如何强化关于人体及其运动的固有假设。我们提出，测量与验证的社会实践在数据驱动和传感器驱动系统的开发中普遍存在，并以此工作为基础，探讨人机交互中隐藏的设计假设及其潜在的负面后果。