A Task Assignment Method Considering Inclusiveness and Activity Degree
Hirotaka Hashimoto, Masaki Matsubara, Yuhki Shiraishi, Daisuke Wakatsuki, Jianwei Zhang, Atsuyuki Morishima · 2018
Task assignment is one of the important issues in crowdsourcing. Most existing schemes consider both of task-centric measures (e.g., required abilities) and worker-centric measures (e.g., worker preference) at local (each task) assignment level, but consider only task-centric measures at the global (the whole workflow) assignment level, such as productivity and throughput. This paper proposes to introduce Inclusiveness and Activity Degree as the worker-centric measures at the global level. It is not trivial whether we can find assignment that are good in terms of all of the two task-centric measures (productivity and throughput) and the two worker-centric measures (Inclusiveness and Activity Degree) at the global level. This paper explains five assignments that are expected to increase some measures and shows Activity Degree Conscious Assignment can produce high Inclusiveness and Activity Degree and not significantly reduce the productivity and throughput assignment through a simulation.