Ajalon: Simplifying the authoring of wearable cognitive assistants
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Pham, Truong An | en_US |
| dc.contributor.author | Wang, Junjue | en_US |
| dc.contributor.author | Iyengar, Roger | en_US |
| dc.contributor.author | Xiao, Yu | en_US |
| dc.contributor.author | Pillai, Padmanabhan | en_US |
| dc.contributor.author | Klatzky, Roberta | en_US |
| dc.contributor.author | Satyanarayanan, Mahadev | en_US |
| dc.contributor.department | Department of Communications and Networking | en |
| dc.contributor.groupauthor | Mobile Cloud Computing | en |
| dc.contributor.organization | Carnegie Mellon University | en_US |
| dc.contributor.organization | Intel Labs | en_US |
| dc.date.accessioned | 2021-08-04T06:45:40Z | |
| dc.date.available | 2021-08-04T06:45:40Z | |
| dc.date.issued | 2021-08 | en_US |
| dc.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. | |
| dc.description.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. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 25 | |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.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 | en |
| dc.identifier.doi | 10.1002/spe.2987 | en_US |
| dc.identifier.issn | 0038-0644 | |
| dc.identifier.other | PURE UUID: d6f3d214-a8fc-4f0f-a22c-7ab3941aec17 | en_US |
| dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/d6f3d214-a8fc-4f0f-a22c-7ab3941aec17 | en_US |
| dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/66065685/ELEC_Pham_etal_Ajalon_Software_Practice_and_Experience_2021_finalpublishedversion.pdf | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/108969 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202108048213 | |
| dc.language.iso | en | en |
| dc.publisher | Wiley | |
| dc.relation.fundinginfo | 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. | |
| dc.relation.ispartofseries | Software - Practice and Experience | en |
| dc.relation.ispartofseries | Volume 51, issue 8, pp. 1773-1797 | en |
| dc.rights | openAccess | en |
| dc.subject.keyword | artificial intelligence | en_US |
| dc.subject.keyword | augmented reality | en_US |
| dc.subject.keyword | cloudlets | en_US |
| dc.subject.keyword | computer vision | en_US |
| dc.subject.keyword | edge computing | en_US |
| dc.subject.keyword | Gabriel | en_US |
| dc.subject.keyword | machine learning | en_US |
| dc.subject.keyword | mobile computing | en_US |
| dc.subject.keyword | software productivity | en_US |
| dc.subject.keyword | wearables | en_US |
| dc.title | Ajalon: Simplifying the authoring of wearable cognitive assistants | en |
| dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
| dc.type.version | publishedVersion |