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MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture
Sept.-Oct. 2012 (vol. 16 no. 5)
pp. 28-35
Anand Kulkarni, MobileWorks and University of California, Berkeley
Philipp Gutheim, MobileWorks and University of California, Berkeley
Prayag Narula, MobileWorks and University of California, Berkeley
David Rolnitzky, MobileWorks
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.
Index Terms:
Accuracy,Humans,Internet,Computer architecture,Routing,Quality control,Redundancy,marketplace,crowdsourcing,human computation,development
Citation:
Anand Kulkarni, Philipp Gutheim, Prayag Narula, David Rolnitzky, Tapan Parikh, Björn Hartmann, "MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture," IEEE Internet Computing, vol. 16, no. 5, pp. 28-35, Sept.-Oct. 2012, doi:10.1109/MIC.2012.72
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