Skip to Main content Skip to Navigation
New interface
Journal articles

Toward Worker-Centric Crowdsourcing

Abstract : Today, crowdsourcing is used to "taskify" any job ranging from simple receipt transcription to collab-orative editing, fan-subbing, and citizen science. Existing work has mainly focused on improving the processes of task assignment and task completion in a requester-centric way by optimizing for outcome quality under budget constraints. In this paper, we advocate that accounting for workers' characteristics , i.e., human factors in task assignment and task completion benefits both workers and requesters, and discuss new opportunities raised by worker-centric crowdsourcing. This survey is based on a tutorial that was given recently at PVLDB [2].
Document type :
Journal articles
Complete list of metadata

Cited literature [45 references]  Display  Hide  Download
Contributor : Sihem Amer-Yahia Connect in order to contact the contributor
Submitted on : Friday, February 8, 2019 - 11:32:02 AM
Last modification on : Tuesday, July 13, 2021 - 4:04:04 PM
Long-term archiving on: : Thursday, May 9, 2019 - 12:33:18 PM


Publisher files allowed on an open archive


  • HAL Id : hal-02001969, version 1



Sihem Amer-Yahia, Senjuti Basu Roy. Toward Worker-Centric Crowdsourcing. Bulletin of the Technical Committee on Data Engineering, 2016. ⟨hal-02001969⟩



Record views


Files downloads