Ajalon: Simplifying the authoring of wearable cognitive assistants

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2021-08
Major/Subject
Mcode
Degree programme
Language
en
Pages
25
1773-1797
Series
Software - Practice and Experience, Volume 51, issue 8
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, 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.
Description
Funding Information: We thank the editor, Dr. Satish Srirama, and the anonymous reviewers for their guidance in improving the presentation of our work. This research was supported by Business Finland under the grant number 1660/31/2018, and by the National Science Foundation (NSF) under grant number CNS‐1518865. Roger Iyengar was supported by an NSF Graduate Research Fellowship under Grants DGE1252522 and DGE1745016. Additional support was provided by CableLabs, Crown Castle, Deutsche Telekom, Intel, InterDigital, Microsoft, Seagate, VMware, Vodafone, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the view(s) of their employers or the above funding sources. Publisher Copyright: © 2021 The Authors. Software: Practice and Experience published by John Wiley & Sons Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
artificial intelligence, augmented reality, cloudlets, computer vision, edge computing, Gabriel, machine learning, mobile computing, software productivity, wearables
Other note
Citation
Pham, T A, Wang, J, Iyengar, R, Xiao, Y, Pillai, P, Klatzky, R & Satyanarayanan, M 2021, ' Ajalon : Simplifying the authoring of wearable cognitive assistants ', Software - Practice and Experience, vol. 51, no. 8, pp. 1773-1797 . https://doi.org/10.1002/spe.2987