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Proposal of human-centered design for creative activity support by human collaboration and cooperation

Research Project

Project/Area Number 20H04476
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 90010:Design-related
Research InstitutionSophia University

Principal Investigator

Yairi Ikuko Eguchi  上智大学, 理工学部, 教授 (10358880)

Co-Investigator(Kenkyū-buntansha) 横田 悠右  国立研究開発法人情報通信研究機構, 未来ICT研究所脳情報通信融合研究センター, 研究員 (10710593)
平田 均  上智大学, 理工学部, 助教 (20266076)
森 武俊  東京大学, 大学院医学系研究科(医学部), 特任教授 (20272586)
岩澤 有祐  東京大学, 大学院工学系研究科(工学部), 講師 (70808336)
塩瀬 隆之  京都大学, 総合博物館, 准教授 (90332759)
Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥17,680,000 (Direct Cost: ¥13,600,000、Indirect Cost: ¥4,080,000)
Fiscal Year 2022: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2021: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2020: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Keywordsコラボレーション / 脳波計測 / 機械学習 / AI / IoT
Outline of Research at the Start

本研究は,AIによる様々な職業の代替の予想がなされるなか,AIによる代替が困難な真に人間らしい活動として注目が高まっている職場/教育現場/家庭等でのクリエイティブなコラボレーションに焦点を当て,人間同士のコラボレーションの質を高める方法を明らかにすることを目的としている.超少子高齢社会に突入する日本では,社会のあらゆる場面での生産性の向上が重要な社会的課題であり,本研究はその課題解決のために,従来技術では支援困難な人間同士の協働・協調による創造的活動を,IoTセンサ,脳波計測や機械学習による人間行動の分析・可視化などの最新技術を駆使して支援することを目指すものである.

Outline of Final Research Achievements

This research aims to support creative activities based on human collaboration and cooperation by entirely using the latest technologies, such as IoT sensors, electroencephalogram measurement, and human behavior analysis and visualization by machine learning. First, by applying technologies such as analysis and visualization of human behavior using IoT sensors, electroencephalogram measurement, and machine learning, our research will realize true collaboration between people doing creative missions such as problem-solving, the materialization of ideas, and education are quantitatively analyzed. Secondly, based on the analysis results, this research focused on the strength of human connections and motivation and worked to elucidate the mechanism of success or failure of collaboration. Third, we proposed and evaluated support design methods in this research, including visualization and presentation of situations for collaboration participants and intervention methods.

Academic Significance and Societal Importance of the Research Achievements

超少子高齢社会に突入する日本では,社会のあらゆる場面での生産性の向上が重要な社会的課題であり,本研究はその課題解決のために,従来技術では支援困難な人間同士の協働・協調による創造的活動を,IoTセンサ,脳波計測や機械学習による人間行動の分析・可視化などの最新技術を駆使して支援することを目指すものである. AIによる様々な職業の代替の予想がなされるなか,AIによる代替が困難な真に人間らしい活動として注目が高まっている職場/教育現場/家庭等でのクリエイティブなコラボレーションに焦点を当て,人間同士のコラボレーションの質を高める方法を明らかにすることは,学術においても重要な課題である.

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • Research Products

    (20 results)

All 2022 2021 2020

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 2 results) Presentation (15 results) (of which Int'l Joint Research: 6 results)

  • [Journal Article] Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic Sensing2022

    • Author(s)
      Masuda Nagisa、Furukawa Koichi、Yairi Ikuko Eguchi
    • Journal Title

      Journal of Information Processing

      Volume: 30 Issue: 0 Pages: 718-728

    • DOI

      10.2197/ipsjjip.30.718

    • ISSN
      1882-6652
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment2021

    • Author(s)
      Sato Goh、Watanabe Takumi、Takahashi Hiroki、Yano Yojiro、Iwasawa Yusuke、Yairi Ikuko Eguchi
    • Journal Title

      Intelligent Systems and Computing, Springer, Cham.

      Volume: 1357 Pages: 13-24

    • DOI

      10.1007/978-3-030-73113-7_2

    • NAID

      130007856642

    • ISBN
      9783030731120, 9783030731137
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Strategy and Spatial Representations for Improving Navigation Ability Without Vision Using Sensory Substitution Devices2021

    • Author(s)
      Akimoto Kouta、Fukawa Ayako、Yairi Ikuko Eguchi
    • Journal Title

      Intelligent Systems and Computing, Springer, Cham.

      Volume: 1357 Pages: 216-223

    • DOI

      10.1007/978-3-030-73113-7_21

    • ISBN
      9783030731120, 9783030731137
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks2021

    • Author(s)
      Watanabe Takumi、Takahashi Hiroki、Sato Goh、Iwasawa Yusuke、Matsuo Yutaka、Yairi Ikuko Eguchi
    • Journal Title

      Communications in Computer and Information Science

      Volume: 1370 Pages: 16-29

    • DOI

      10.1007/978-981-16-0575-8_2

    • ISBN
      9789811605741, 9789811605758
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Survey on Psychological Effects of Appreciative Communication via Voice Agent2020

    • Author(s)
      Furukawa Koichi、Fukushima Yusuke、Nishino Saki、Eguchi Yairi Ikuko
    • Journal Title

      Journal of Information Processing

      Volume: 28 Issue: 0 Pages: 699-710

    • DOI

      10.2197/ipsjjip.28.699

    • NAID

      130007926502

    • ISSN
      1882-6652
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] 脳波を教師とした体動からの認知作業負荷推定のための深層学習モデルの実装と評価2022

    • Author(s)
      沼田 遥・秋元 弘太・島田 径太(上智大学)・千葉 慎二(日本マイクロソフト)・矢入 郁子(上智大学)
    • Organizer
      第21回情報科学技術フォーラム(FIT2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 脳波計を用いた不気味の谷の評価に関する研究2022

    • Author(s)
      伊藤 優花子(上智大学)・横田 悠右・成瀬 康(情報通信研究機構)・矢入 郁子(上智大学)
    • Organizer
      第21回情報科学技術フォーラム(FIT2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Metagenome analysis of two river microbial flora for modeling river microbial diversity2021

    • Author(s)
      Jin Michel Ogawa, Tamao Saito, Ikuko Eguchi YAIRI,
    • Organizer
      JSAI2021, 35rd Annual Conference, 2021, Pages 4N3-IS-1b-03
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Survey of the VR environment for deep learning model development2021

    • Author(s)
      Taisei Naraha, Kouta Akomoto, Ikuko Eguchi YAIRI
    • Organizer
      JSAI2021, 35rd Annual Conference, 2021, Pages 2N3-IS-2b-04
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Correlation analysis between the learning concentration estimated by EEG and the body motion measured by image sensors2021

    • Author(s)
      3.Keita SHIMADA, Shinji CHIBA, Yusuke YOKOTA, Yasushi NARUSE, Ikuko Eguchi YAIRI
    • Organizer
      JSAI2021, 35rd Annual Conference, 2021, Pages 1N2-IS-5a-03
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] サロベツ湿原泥炭採集地環境再生のための微生物叢メタゲノム解析2021

    • Author(s)
      三田稜一朗,小川仁,齋藤玉緒,矢入郁子
    • Organizer
      FIT2021, 2020.8
    • Related Report
      2021 Annual Research Report
  • [Presentation] 体性感覚誘発電位を用いた認知作業負荷推定アルゴリズムの検討2021

    • Author(s)
      松岡理奈子,千葉晃一,小森谷篤,横田 悠右, 成瀬 康, 矢入 郁子
    • Organizer
      FIT2021, 2020.8
    • Related Report
      2021 Annual Research Report
  • [Presentation] Research on Learning Effect of Vibrotactile Stimulation to the Head in Triangle Completion Task2020

    • Author(s)
      Kouta Akimoto, Ayako Fukawa, Ikuko Eguchi Yairi
    • Organizer
      Proceedings of the Annual Conference of JSAI, 2020, Volume JSAI2020, 34rd Annual Conference, 2020, Pages 1G5-ES-5-03
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment2020

    • Author(s)
      Goh Sato, Takumi Watanabe, Hiroki Takahashi, Yojiro Yano, Yusuke Iwasawa, Ikuko Eguchi Yairi
    • Organizer
      Proceedings of the Annual Conference of JSAI, 2020, Volume JSAI2020, 34rd Annual Conference, 2020, Pages 1G3-ES-5-02
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Privacy-Preserving Monitoring System with Ultra Low-Resolution Infrared Sensor2020

    • Author(s)
      Miyuki Ogata, Shogo Murakami, Takumi Mikura, Ikuko Eguchi Yairi
    • Organizer
      In Proceedings of the AI4Function, co-located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI 2020),
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 動画像からのサッカーシュート動作の姿勢推定の精度改善2020

    • Author(s)
      中村 拓馬,森 裕一,矢入 郁子
    • Organizer
      人工知能学会全国大会論文集 2020年 JSAI2020 巻 3M5-GS-12-04, 2020年
    • Related Report
      2020 Annual Research Report
  • [Presentation] OpenPoseを用いたサッカー熟練度の分類2020

    • Author(s)
      金子 和樹,中村 拓馬,森 裕一,矢入 郁子
    • Organizer
      人工知能学会全国大会論文集 2020年 JSAI2020 巻 3M5-GS-12-05,2020年
    • Related Report
      2020 Annual Research Report
  • [Presentation] DCNN を用いた聴診器音響センシングによる タッチアクション認識2020

    • Author(s)
      増田 凪紗,古川 広一,矢入 郁子
    • Organizer
      第19回情報科学技術フォーラム,J-024,FIT2020, 2020
    • Related Report
      2020 Annual Research Report
  • [Presentation] リモートセンシングデータから地すべりを抽出するDeep Residual U-Netモデルの精度向上2020

    • Author(s)
      柴田 祥太郎,渡邉 拓実,矢入 郁子
    • Organizer
      第19回情報科学技術フォーラム,O-011,FIT2020, 2020
    • Related Report
      2020 Annual Research Report
  • [Presentation] CNNとRNNの統合モデルによる車いす加速度データを用いた路面状態の評価2020

    • Author(s)
      門田 流聖,渡邉 拓実,佐藤 剛,岩澤 有祐,矢入 郁子
    • Organizer
      第19回情報科学技術フォーラム,F-011,FIT2020, 2020
    • Related Report
      2020 Annual Research Report

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Published: 2020-04-28   Modified: 2024-01-30  

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