Enhancing crowdsourced applications via incorporated practice sessions

Kinga B. Faragó, Zoltán A. Milacski, A. Lőrincz, András Németh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationGamifIR 2015 - Proceedings of the 2nd International Workshop on Gamification for Information Retrieval, Co-located with the 37th European Conference on Information Retrieval, ECIR 2015
PublisherCEUR-WS
Pages41-43
Number of pages3
Volume1345
Publication statusPublished - 2015
Event2nd International Workshop on Gamification for Information Retrieval, GamifIR 2015, Co-located with the 37th European Conference on Information Retrieval, ECIR 2015 - Vienna, Austria
Duration: Mar 29 2015 → …

Other

Other2nd International Workshop on Gamification for Information Retrieval, GamifIR 2015, Co-located with the 37th European Conference on Information Retrieval, ECIR 2015
CountryAustria
CityVienna
Period3/29/15 → …

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Keywords

  • Crowdsourcing
  • Online Supervised Learning
  • Traffic Estimation

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Faragó, K. B., Milacski, Z. A., Lőrincz, A., & Németh, A. (2015). Enhancing crowdsourced applications via incorporated practice sessions. In GamifIR 2015 - Proceedings of the 2nd International Workshop on Gamification for Information Retrieval, Co-located with the 37th European Conference on Information Retrieval, ECIR 2015 (Vol. 1345, pp. 41-43). CEUR-WS.