• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Sakato Tatsuya  坂戸 達陽

ORCIDConnect your ORCID iD *help
… Alternative Names

坂戸 達陽  サカト タツヤ

Less
Researcher Number 10780679
Other IDs
Affiliation (Current) 2025: 目白大学, 学長付, 専任講師
Affiliation (based on the past Project Information) *help 2024 – 2025: 成蹊大学, 理工学部, 助教
2021 – 2022: 成蹊大学, 理工学部, 助教
2018: 国立情報学研究所, 情報学プリンシプル研究系, 特任研究員
2017: 国立情報学研究所, 大学共同利用機関等の部局等, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 61020:Human interface and interaction-related / Intelligent informatics
Except Principal Investigator
Basic Section 61020:Human interface and interaction-related / Sections That Are Subject to Joint Review: Basic Section61020:Human interface and interaction-related , Basic Section62040:Entertainment and game informatics-related / Basic Section 62040:Entertainment and game informatics-related
Keywords
Principal Investigator
知能ロボティクス / 行動決定 / Virtual Reality / Human-Robot Interaction / 概念獲得 / 質問生成 / 知識獲得 / 知能ロボット / 能動学習
Except Principal Investigator
ニューロダイバーシティ … More / コミュニケーション支援 / コミュニケーションのモデル化 / 個人適応 / ジェスチャ形態決定 / 知識埋め込み / 話題埋め込み / マルチモーダル / 会話エージェント / マルチモーダル理解 / 性格特性 / ジェスチャ / 会話参加者特性 / ユーザ適応 / マルチモーダルモデル / 生成モデル / 意味内容 / 対話システム / ジェスチャ生成 / 質問生成 / 大規模知識 / インタビュー対話システム Less
  • Research Projects

    (4 results)
  • Research Products

    (10 results)
  • Co-Researchers

    (3 People)
  •  動機づけ面接におけるクライアントの状態推定に基づくカウンセラー支援システムPrincipal Investigator

    • Principal Investigator
      坂戸 達陽
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61020:Human interface and interaction-related
    • Research Institution
      Seikei University
  •  Modeling and Supporting Group Communication by Considering Neurodiversity

    • Principal Investigator
      中野 有紀子
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61020:Human interface and interaction-related
      Basic Section 62040:Entertainment and game informatics-related
      Sections That Are Subject to Joint Review: Basic Section61020:Human interface and interaction-related , Basic Section62040:Entertainment and game informatics-related
    • Research Institution
      Seikei University
  •  Multimodal Dialogue System with Knowledge-based User Adaptive Dialogue Management

    • Principal Investigator
      Nakano Yukiko
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61020:Human interface and interaction-related
    • Research Institution
      Seikei University
  •  Context Concept Acquisition and Application for Robots Using VR EnvironmentPrincipal Investigator

    • Principal Investigator
      Sakato Tatsuya
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Informatics

All 2023 2022 2021 2018 2017

All Journal Article Presentation

  • [Journal Article] Estimating and Visualizing Persuasiveness of Participants in Group Discussions2023

    • Author(s)
      Ito Atsushi、Nakano Yukiko I.、Nihei Fumio、Sakato Tatsuya、Ishii Ryo、Fukayama Atsushi、Nakamura Takao
    • Journal Title

      情報処理学会論文誌

      Volume: 64

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] グループディスカッションにおける説得力の推定のためのマルチパーティモデル2022

    • Author(s)
      伊藤温志,坂戸達陽,中野有紀子,二瓶芙巳雄,石井亮,深山篤,中村高雄
    • Organizer
      2022年度人工知能学会全国大会(第36回) 2022/6/1
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] Detecting Change Talk in Motivational Interviewing using Verbal and Facial Information.2022

    • Author(s)
      Yukiko I. Nakano, Eri Hirose, Tatsuya Sakato, Shogo Okada, and Jean-Claude Martin
    • Organizer
      the 2022 International Conference on Multimodal Interaction (ICMI '22) [Best Paper Award Runner-up] https://doi.org/10.1145/3536221.3556607
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] ガウス混合モデルを用いたHuman-Agent Interactionにおけるユーザの表情分析2022

    • Author(s)
      坂戸達陽,ZENG Jie,中野有紀子
    • Organizer
      第21回情報科学技術フォーラム (FIT2022)2022/8/30
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] Predicting Persuasiveness of Participants in Multiparty Conversations2022

    • Author(s)
      Atsushi Ito, Yukiko I. Nakano, Fumio Nihei, Tatsuya Sakato, Ryo Ishii, Atsushi Fukayama, and Takao Nakamura
    • Organizer
      27th International Conference on Intelligent User Interfaces (IUI '22 Companion).Association for Computing Machinery, New York, NY, USA, 85-88. DOI:https://doi.org/10.1145/3490100.3516466
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] Semantic Content Prediction for Generating Interviewing Dialogues to Elicit Users' Food Preferences2022

    • Author(s)
      Jie Zeng, Tatsuya Sakato, and Yukiko I. Nakano
    • Organizer
      Proceedings of the Second Workshop on When Creative AI Meets Conversational AI, in the 29th International Conference on Computational Linguistics (COLING2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] グループディスカッションにおける説得力の推定2021

    • Author(s)
      伊藤温志,坂戸達陽,中野有紀子
    • Organizer
      2021年度人工知能学会全国大会(第35回)3E2-OS-5b-02,2021/6/8
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] マルチモーダル情報に基づく相槌的応答と表情強度の推定2021

    • Author(s)
      上野諒祐,坂戸達陽,中野有紀子
    • Organizer
      2021年度人工知能学会全国大会(第35回)E2-OS-5b-01,2021/6/8. 【全国大会優秀賞】
    • Data Source
      KAKENHI-PROJECT-19H04159
  • [Presentation] Evaluation of Rapid Active Learning Method for Motion Label Learning in Variable VR Environment2018

    • Author(s)
      Tatsuya Sakato and Tetsunari Inamura
    • Organizer
      The 2018 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K18331
  • [Presentation] A Question Selection Method for Active Learning of Context-depending Motion Labels2017

    • Author(s)
      Tatsuya Sakato and Tetsunari Inamura
    • Organizer
      2nd Workshop on Semantic Policy and Action Representations for Autonomous Robots (SPAR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K18331
  • 1.  Nakano Yukiko (40422505)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 8 results
  • 2.  高瀬 裕 (60744000)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  辻井 正次 (20257546)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi