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Home / Proceedings / Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Proposal of Grade Training Method in Private Crowdsourcing System

February 1, 2023

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Authors

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga

Toshiba Corporation,Toshiba Corporation,University of Electro-Communications


DOI:

10.1609/hcomp.v3i1.13246


Abstract:

Current crowdsourcing platforms such as Amazon Mechanical Turk provide an attractive solution for processing of high-volume tasks at low cost. However, problems of quality control remain a major concern. We developed a private crowdsourcing system (PCSS) running in a intranetwork, that allow us to devise for quality control methods. In the present work, we designed a novel task allocation method to improve accuracy of task results in PCSS. PCSS analyzed relations between tasks from workers' behavior using Bayesian network, then created learning tasks according to analyzed relations. PCSS increased quality of task results by allocating learning tasks to workers before processing difficult tasks. PCSS created 8 learning tasks automatically for 2 target task categories and increased accuracy of task results by 10.77 point on average. We found that creating learning tasks according to analyzed relations is a practical method to improve the quality of workers.

Topics: HCOMP

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HOW TO CITE:

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga Proposal of Grade Training Method in Private Crowdsourcing System Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2015) 44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga Proposal of Grade Training Method in Private Crowdsourcing System HCOMP 2015, 44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga (2015). Proposal of Grade Training Method in Private Crowdsourcing System. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. Proposal of Grade Training Method in Private Crowdsourcing System. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2015 p.44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. 2015. Proposal of Grade Training Method in Private Crowdsourcing System. "Proceedings of the AAAI Conference on Human Computation and Crowdsourcing". 44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. (2015) "Proposal of Grade Training Method in Private Crowdsourcing System", Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, p.44960

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga, "Proposal of Grade Training Method in Private Crowdsourcing System", HCOMP, p.44960, 2015.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. "Proposal of Grade Training Method in Private Crowdsourcing System". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2015, p.44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. "Proposal of Grade Training Method in Private Crowdsourcing System". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, (2015): 44960.

Masayuki Ashikawa,Takahiro Kawamura,Akihiko Ohsuga. Proposal of Grade Training Method in Private Crowdsourcing System. HCOMP[Internet]. 2015[cited 2023]; 44960.


ISSN: 2769-1349


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