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saito hiroto  齊藤 寛人

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Hiroto Saito  齊藤 寛人

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Researcher Number 00868408
Other IDs
Affiliation (Current) 2026: 東京大学, 先端科学技術研究センター, 助教
Affiliation (based on the past Project Information) *help 2023 – 2024: 東京大学, 先端科学技術研究センター, 助教
2022: 東京大学, 先端科学技術研究センター, 特任助教
2021: 東京大学, 先端科学技術研究センター, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 61020:Human interface and interaction-related
Keywords
Principal Investigator
embodiment / perception / human augmentation / motor perception / motor learning / self-attribution / sense of agency
  • Research Projects

    (1 results)
  • Research Products

    (3 results)
  •  A study of the mechanism of agency attribution in human motor perception and its application to human augmentation technologiesPrincipal Investigator

    • Principal Investigator
      Hiroto Saito
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61020:Human interface and interaction-related
    • Research Institution
      The University of Tokyo

All 2024 2023

All Journal Article Presentation

  • [Journal Article] Visual background information modulates motor contagions in humans2024

    • Author(s)
      Saito Hiroto、Fukuchi Kentaro、Inami Masahiko、Ganesh Gowrishankar
    • Journal Title

      Scientific Reports

      Volume: 14 Issue: 1 Pages: 1-12

    • DOI

      10.1038/s41598-024-69535-9

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17786, KAKENHI-PROJECT-23K17460
  • [Presentation] 視覚的な背景情報に基づく予測誤差が運動伝染に与える影響2023

    • Author(s)
      齊藤寛人, 福地健太郎, 稲見昌彦, Gowrishankar Ganesh
    • Organizer
      第17回Motor Control 研究会
    • Data Source
      KAKENHI-PROJECT-21K17786
  • [Presentation] Embodied Tentacle: Mapping Design to Control of Non-Analogous Body Parts with the Human Body2023

    • Author(s)
      Shuto Takashita, Ken Arai, Hiroto Saito, Michiteru Kitazaki, and Masahiko Inami
    • Organizer
      CHI Conference on Human Factors in Computing Systems (CHI ’24), ACM
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K17786

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