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arXiv · 2101.05766

Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants

Truong An Pham·Junjue Wang·Yu Xiao·Padmanabhan Pillai·Roger Iyengar·Roberta Klatzky·Mahadev Satyanarayanan
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Abstract

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, and many other areas. 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.

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Truong An Pham, Junjue Wang, Yu Xiao, Padmanabhan Pillai, Roger Iyengar, Roberta Klatzky, Mahadev Satyanarayanan. 2021-01-14. Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants. https://arxiv.org/abs/2101.05766

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