Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspired by, and broadens, the metaphor of GPS navigation tools that provide real-time step-by-step guidance, with prompt error detection and correction. WCA applications are likely to be transformative in education, health care, industrial troubleshooting, manufacturing, assisted driving, and sports training. Today, WCA application development is difficult and slow, requiring skills in areas such as machine learning and computer vision that are not widespread among software developers. This paper describes Ajalon, an authoring toolchain for WCA applications that reduces the skill and effort needed at each step of the development pipeline. Our evaluation shows that Ajalon significantly reduces the effort needed to create new WCA applications.

中文翻译：

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Ajalon：简化可穿戴认知助手的创作

可穿戴认知辅助 (WCA) 通过可穿戴设备和对边缘计算基础设施的低延迟无线访问实时放大人类认知。它的灵感来自并扩展了 GPS 导航工具的比喻，这些工具提供实时的逐步指导，并具有及时的错误检测和纠正功能。WCA 应用可能会在教育、医疗保健、工业故障排除、制造、辅助驾驶和运动训练方面产生变革性的影响。今天，WCA 应用程序开发既困难又缓慢，需要机器学习和计算机视觉等领域的技能，而这在软件开发人员中并不普遍。这篇论文描述了Ajalon，WCA 应用程序的创作工具链，可减少开发管道每个步骤所需的技能和工作量。我们的评估表明，Ajalon 显着减少了创建新 WCA 应用程序所需的工作量。