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Mutual learning of mind mappings between a human and a lifelike agent by mutual mind-reading game

Research Project

Project/Area Number 14580410
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionNational 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)
KeywordsMutual 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.

Report

(3 results)
  • 2003 Annual Research Report   Final Research Report Summary
  • 2002 Annual Research Report
  • Research Products

    (6 results)

All Other

All Publications (6 results)

  • [Publications] 山田 誠二: "適応としてのHAI"人主知能学会誌. 17・6. 658-664 (2002)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2003 Final Research Report Summary
  • [Publications] 山田 誠二: "ユーザーシステム間の適応のためのヒューマンコンピュータインタラクションのデザイン"システム制御情報学会誌. 47・4. 197-202 (2003)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2003 Final Research Report Summary
  • [Publications] S.Yamada: "HAT as adaptation"Japan Society of Artificial Intelligence. 17(6). 658-664 (2002)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2003 Final Research Report Summary
  • [Publications] S.Yamada: "Design of HCI for human system adaptation"The Institute of Systems, Control and Information Engineers. 47(4). 197-202 (2003)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2003 Final Research Report Summary
  • [Publications] 片上大輔, 山田誠二: "対話的進化ロボティクスの観測に基づく教示の設計"システム制御情報学会論文誌. 16・6. 279-286 (2003)

    • Related Report
      2003 Annual Research Report
  • [Publications] 山田誠二: "適応としてのHAI"人工知能学会誌. 17・6. 658-664 (2002)

    • Related Report
      2002 Annual Research Report

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Published: 2002-04-01   Modified: 2016-04-21  

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