Toward Worker-Centric Crowdsourcing

Sihem Amer-Yahia (1, 2) , Senjuti Basu Roy (3)

1 CNRS - Centre National de la Recherche Scientifique
2 UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
3 NJIT - New Jersey Institute of Technology [Newark]

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].

Domains: Social and Information Networks [cs.SI]

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