Journal
SOFTWARE-PRACTICE & EXPERIENCE
Volume 51, Issue 8, Pages 1773-1797Publisher
WILEY
DOI: 10.1002/spe.2987
Keywords
artificial intelligence; augmented reality; cloudlets; computer vision; edge computing; Gabriel; machine learning; mobile computing; software productivity; wearables
Categories
Funding
- Business Finland [1660/31/2018]
- National Science Foundation (NSF) [CNS-1518865]
- NSF Graduate Research Fellowship [DGE1252522, DGE1745016]
- CableLabs
- Crown Castle
- Deutsche Telekom
- Intel
- InterDigital
- Microsoft
- Seagate
- VMware
- Vodafone
- Conklin Kistler family fund
Ask authors/readers for more resources
WCA enhances human cognition in real time through wearable devices and edge computing infrastructure. It has the potential to significantly impact various fields, but current development challenges include high skill requirements and slow progress.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available