| Project/Area Number |
26330350
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Hosei University |
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Principal Investigator |
MA Jianhua 法政大学, 情報科学部, 教授 (70295426)
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| Co-Investigator(Kenkyū-buntansha) |
Huang Runhe (HUANG Runhe) 法政大学, 情報科学部, 教授 (00254102)
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| Research Collaborator |
GUO Ao
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Internet / Web / Cyber / Modeling / Personality / Wearable / Cyber-I / Emotion / Synchronization / Personal Data / Context-aware / Personality Computing / wearable Devices / Web Computing / Ubiquitous Computing / Wearable Computing / User Modeling / Personalized Service / Personal Big Data / Privacy |
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| Outline of Final Research Achievements |
Cyber-I, short for Cyber Individual, is a digital counterpart of Real-Individual (Real-I), and is expected to continuously approximate a real person’s behavior and even mind with collections and analyses of increasing personal data. In this research, a Cyber-I open service platform has been researched and developed to collect and process rich personal big data from various sources and multiple devices for Cyber-I creation and administration as well as its modeling and life control. A cloud-fog based database system using smartphones as gateways has been implemented for flexible and scalable managements of heterogeneous devices and data. Basic strategy and mechanism have been proposed for scheduling and controlling Cyber-I growth. Cyber-I related data privacy protection and personal information usage are also studied. A series of researches on personality and affective computing has been carried out to model personal characteristics.
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