Mutual learning of mind mappings between a human and a lifelike agent by mutual mind-reading game
Project/Area Number |
14580410
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
|
Research Institution | National Institute of Informatics |
Principal Investigator |
YAMADA Seiji National Institute of Informatics, Professor, 知能システム研究系, 教授 (50220380)
|
Co-Investigator(Kenkyū-buntansha) |
YAMAGUCHI Tomohiro Nara National College of Technology, Department of information engineering, Assistant professor, 情報工学科, 助教授 (00240838)
|
Project Period (FY) |
2002 – 2003
|
Project Status |
Completed (Fiscal Year 2003)
|
Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2003: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2002: ¥1,900,000 (Direct Cost: ¥1,900,000)
|
Keywords | Mutual learning / Life-like agent / Emotion model / Mind mapping / Machine learning |
Research Abstract |
Our project proposed and developed a human-agent interaction in which a user and a life-like agent mutually acquire the other's mind mapping through a mutual mind reading game. In these several years, a lot of studies have been done on a life-like agent such a Micro Soft agent, an interface agent. Through development of various life-like agents, a mind like emotion, processing load has been recognized to play an important role in making them believable to a user. For establishing effective and natural communication between a agent and a user, they need to read the other's mind from expressions and we call the mapping from expressions to mind states mind mapping. If an agent and a user don't obtain these mind mappings, they can not utilize behaviors which significantly depend on the other's mind. We formalize such mutual mind reading and propose a framework in which a user and a life-like agent mutually acquire mind mappings each other. In our framework, a user plays a mutual mind reading game with an agent and they gradually learn to read the other's mind through the game. Eventually we fully implemented our framework and made experiments to investigate its effectiveness.
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Report
(3 results)
Research Products
(6 results)