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2017 Fiscal Year Final Research Report

Human Centric Mechanism Design for Crowdsourcing

Research Project

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Project/Area Number 15H02751
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionNational Institute of Advanced Industrial Science and Technology (2017)
Kyushu University (2015-2016)

Principal Investigator

Sakurai Yuko  国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (10396137)

Co-Investigator(Kenkyū-buntansha) 横尾 真  九州大学, システム情報科学研究院, 主幹教授 (20380678)
篠田 正人  奈良女子大学, 自然科学系, 教授 (50271044)
松田 昌史  日本電信電話株式会社NTTコミュニケーション科学基礎研究所, 協創情報研究部, 研究員 (60396140)
Co-Investigator(Renkei-kenkyūsha) OYAMA Satoshi  北海道大学, 情報科学研究科, 准教授 (30346100)
Project Period (FY) 2015-04-01 – 2018-03-31
Keywordsクラウドソーシング / メカニズム設計 / マルチエージェントシステム / ヒューマンコンピュテーション
Outline of Final Research Achievements

Crowdsourcing is a platform to realize human computation which aims to find a solution for a complicated problem by combining computation and human knowledge. In crowdsourcing, mechanism design considering a diversity of workers is an important issue to obtain a desirable outcome, since a requester asks an unspecified number of workers to do a task. Therefore, in this research project, we have reconstructed the theory of mechanism design from a human centric point of view by considering human feasibility. More specifically, we mainly have studied (1) the issue of workers' communication, (2) the issue of estimating a worker's ability, and (3) the issue of organizing workers' teams. We have developed several mechanisms and algorithms by integrating the techniques from social phycology, machine learning, and muliti-agent systems.

Free Research Field

人工知能

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Published: 2019-03-29  

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