Human Centric Mechanism Design for Crowdsourcing

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02751
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: National 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