Enhancing Crowdsourced Applications via Incorporated Practice Sessions

Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz
2015 European Conference on Information Retrieval  
In this paper, we suggest an upgraded crowdsourcing system design, where workers of the scheme can develop their skills by means of practicing in an embedded simulated environment. We show that training in the virtual setting considerably improves performance in a real traffic estimation scenario. The prototype was implemented as an Android application.
dblp:conf/ecir/FaragoMNL15 fatcat:gmmooaju2je4xnwtl4xyiriomi