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Visual prediction of statistical information across physical movements

Research Project

Project/Area Number 16K16073
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Cognitive science
Research InstitutionTokyo Metropolitan University

Principal Investigator

Banno Hayaki  首都大学東京, 人間健康科学研究科, 日本学術振興会特別研究員(PD) (00707440)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords認知科学 / 実験心理学 / 統計的要約 / 予測的知覚 / 身体運動 / 実験系心理学
Outline of Final Research Achievements

Main findings in this research are human sensitivity to the perception of statistical covariation between visual features. Although the initial purpose was to investigate how statistical information is visually predicted across physical movements, I decided to know the candidate for the statistical information to be predicted. I investigated whether human correctly perceive statistical covariation in a visual scene by briefly presenting a display of several circles filled with sinusoidal gratings differing in their sizes, presentation locations and sinusoidal orientations. Results demonstrated a significantly lower performance in judging the covariation of the size-orientation pair compared with that of the location-related pairs, which suggests that during a brief viewing, human perception of statistical covariation is specific to the location dimension. They also suggested that the feature-specific performance was not related to a scarcity of attentional allocation on each circle.

Academic Significance and Societal Importance of the Research Achievements

成果は,本研究の当初の目指すところであった統計構造の予測研究にどのような刺激を用いればいいかを決めることに有用なものである。別の観点からも,本研究成果は意義深いものである。第一に,統計構造知覚のメカニズムを考える良いヒントとなる。第二に,データの視覚表現という応用的見地からも有用である。相関関係を視覚的にどのように表現するか,そのデザインに制約を与えることに貢献しうる。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (7 results)

All 2019 2017 2016 Other

All Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (4 results) (of which Int'l Joint Research: 2 results) Remarks (1 results)

  • [Journal Article] Trypophobic images induce oculomotor capture and inhibition2019

    • Author(s)
      Shirai, R., Banno, H., & Ogawa, H.
    • Journal Title

      Attention, Perception, & Psychophysics.

      Volume: 81 Issue: 2 Pages: 420-432

    • DOI

      10.3758/s13414-018-1608-6

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Beyond the subjective experience of colour: An experimental case study of grapheme-texture synesthesia2017

    • Author(s)
      Banno Hayaki, Koga Hiroki, Yamamoto Hiroki, & Saiki Jun
    • Journal Title

      Cognitive Neuropsychology

      Volume: 34 Issue: 5 Pages: 269-293

    • DOI

      10.1080/02643294.2017.1373638

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Presentation] 特徴間の相関関係に対する知覚2017

    • Author(s)
      坂野逸紀
    • Organizer
      日本心理学会第81回大会公募シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] Statistical perception to visual covariation: feature-specificity and its robustness2017

    • Author(s)
      Banno Hayaki, & Imanaka Kuniyasu
    • Organizer
      European Conference on Visual Perception 2017
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 視覚特徴の共変関係に対する知覚:注意・方略の寄与2016

    • Author(s)
      坂野逸紀,今中國泰
    • Organizer
      日本基礎心理学会第35回大会
    • Place of Presentation
      東京女子大学(東京都杉並区)
    • Year and Date
      2016-10-29
    • Related Report
      2016 Research-status Report
  • [Presentation] Sensitivity to statistical covariation of visual features is feature-specific.2016

    • Author(s)
      Banno, H., & Imanaka, K.
    • Organizer
      Vision Sciences Society 2016
    • Place of Presentation
      Florida (USA)
    • Year and Date
      2016-05-13
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Remarks] https://researchmap.jp/hbanno/

    • Related Report
      2018 Annual Research Report

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Published: 2016-04-21   Modified: 2020-03-30  

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