Theoretical construction of gamification by social media analysis on the web

2016 Fiscal Year Final Research Report

• Project/Area Number: 25700032
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Web informatics, Service informatics
• Research Institution: The University of Tokyo
• Principal Investigator: Matsuo Yutaka 東京大学, 工学(系)研究科(研究院), 准教授 (30358014)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: ウエブコンピューティンング / ゲーミフィケーション / 人工知能

Outline of Final Research Achievements

In this research, we analyze large amounts of data such as user logs on web services used by many people, and construct a theoretical framework for gaming to motivate users. We propose algorithms for optimizing services on the web, and verify the theory. Progress has advanced beyond the initial expectation and has earned high praise from the industry that is advancing adaptation of this method.
In addition to constructing web site optimization, short term and long term KPI design and introduction experiments were conducted, the effectiveness of the proposed algorithm was evaluated, and summarized and presented in the paper.

Free Research Field

人工知能