Abstract
Crowdsourcing enables one to leverage the power of the crowd. Normally, it involves utilizing humans for tasks that machines have difficulty performing. We propose a system, delivered as a mobile service, which dynamically adapts to the application domain and selects a combination of human and machine crowdsourcing components. Our work is towards the design of elastic systems that adaptively optimizes the use of human and automated software resources in order to maximize overall performance. We propose a performance model that predicts both human and machine outcomes for a certain task and then optimizes task assignment accordingly. Our experimentation shows that our proposed system significantly enhances the outcome precision of a crowdsourced task.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 IEEE 3rd International Conference on Mobile Services, MS 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 149-152 |
| Number of pages | 4 |
| ISBN (Print) | 9781479950607 |
| DOIs | |
| State | Published - Jan 1 2014 |
| Externally published | Yes |
| Event | 2014 3rd IEEE International Conference on Mobile Services, MS 2014 - Anchorage, United States Duration: Jun 27 2014 → Jul 2 2014 |
Other
| Other | 2014 3rd IEEE International Conference on Mobile Services, MS 2014 |
|---|---|
| Country | United States |
| City | Anchorage |
| Period | 6/27/14 → 7/2/14 |
Fingerprint
Keywords
- Crowdsourcing
- Mobile
- Services
ASJC Scopus subject areas
- Communication
- Computer Networks and Communications
Cite this
Mobile services for enhancing human crowdsourcing with computing elements. / Jarrett, Julian; Saleh, Iman; Blake, M. Brian; Thorpe, Sean; Grandison, Tyrone; Malcolm, Rohan.
Proceedings - 2014 IEEE 3rd International Conference on Mobile Services, MS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 149-152 6924307.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mobile services for enhancing human crowdsourcing with computing elements
AU - Jarrett, Julian
AU - Saleh, Iman
AU - Blake, M. Brian
AU - Thorpe, Sean
AU - Grandison, Tyrone
AU - Malcolm, Rohan
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Crowdsourcing enables one to leverage the power of the crowd. Normally, it involves utilizing humans for tasks that machines have difficulty performing. We propose a system, delivered as a mobile service, which dynamically adapts to the application domain and selects a combination of human and machine crowdsourcing components. Our work is towards the design of elastic systems that adaptively optimizes the use of human and automated software resources in order to maximize overall performance. We propose a performance model that predicts both human and machine outcomes for a certain task and then optimizes task assignment accordingly. Our experimentation shows that our proposed system significantly enhances the outcome precision of a crowdsourced task.
AB - Crowdsourcing enables one to leverage the power of the crowd. Normally, it involves utilizing humans for tasks that machines have difficulty performing. We propose a system, delivered as a mobile service, which dynamically adapts to the application domain and selects a combination of human and machine crowdsourcing components. Our work is towards the design of elastic systems that adaptively optimizes the use of human and automated software resources in order to maximize overall performance. We propose a performance model that predicts both human and machine outcomes for a certain task and then optimizes task assignment accordingly. Our experimentation shows that our proposed system significantly enhances the outcome precision of a crowdsourced task.
KW - Crowdsourcing
KW - Mobile
KW - Services
UR - http://www.scopus.com/inward/record.url?scp=84911366581&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911366581&partnerID=8YFLogxK
U2 - 10.1109/MobServ.2014.30
DO - 10.1109/MobServ.2014.30
M3 - Conference contribution
AN - SCOPUS:84911366581
SN - 9781479950607
SP - 149
EP - 152
BT - Proceedings - 2014 IEEE 3rd International Conference on Mobile Services, MS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -