The Community for Technology Leaders
Green Image
Issue No. 05 - Sept.-Oct. (2012 vol. 16)
ISSN: 1089-7801
pp: 28-35
David Rolnitzky , MobileWorks
Prayag Narula , MobileWorks and University of California, Berkeley
Philipp Gutheim , MobileWorks and University of California, Berkeley
Anand Kulkarni , MobileWorks and University of California, Berkeley
Tapan Parikh , University of California, Berkeley
Björn Hartmann , University of California, Berkeley
Online labor marketplaces offer the potential to automate tasks too difficult for computers, but don't always provide accurate results. MobileWorks is a crowd platform that departs from the marketplace model to provide robust, high-accuracy results using three new techniques. A dynamic work-routing system identifies expertise in the crowd and ensures that posted work completes within a bounded time with fair wages. A peer-management system helps prevent wrong answers. Last, social interaction techniques let best workers manage and teach other crowd members. This process allows the crowd to collaboratively learn how to solve new tasks.
Accuracy, Humans, Internet, Computer architecture, Routing, Quality control, Redundancy, marketplace, crowdsourcing, human computation, development
David Rolnitzky, Prayag Narula, Philipp Gutheim, Anand Kulkarni, Tapan Parikh, Björn Hartmann, "MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture", IEEE Internet Computing, vol. 16, no. , pp. 28-35, Sept.-Oct. 2012, doi:10.1109/MIC.2012.72
210 ms
(Ver 3.1 (10032016))