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A design of hierarchical modeling method of "KANSEI" on a product and an event

Research Project

Project/Area Number 18K11510
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61060:Kansei informatics-related
Research InstitutionKyoto Sangyo University

Principal Investigator

OGINO AKIHIRO  京都産業大学, 情報理工学部, 准教授 (40407870)

Project Period (FY) 2018-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords感性情報学 / 感性情報処理 / 感性工学 / 感性モデル / 感性モデリング / ベイズ統計モデリング
Outline of Final Research Achievements

This research aimed to model the process of people's "KANSEI/Emotion" to things and events and to develop a system that enables computer simulation of sensitivity to things and events. The research used music as an example of an item/product for "KANSEI/Emotion" and travel as an example of an event with people's "KANSEI/Emotion". For an example of music, we designed and evaluated a system that supports positive transitions in an individual's KANSEI/Emotion to music, using their impression of the music and their pleasure or displeasure as KANSEI/Emotion. For an example of travel, we designed and evaluated a system that uses an Apple Watch to measure the pulse rate of several people on a trip and aggregates the information to a server via a network. For both topics, we were able to design a system that estimates the sensitivity of individuals and supports them.

Academic Significance and Societal Importance of the Research Achievements

人々がウェルビーイング(心身が良い状態,幸福な状態)な状態になることは,人々の心理的な生活の質を向上させるために重要な要因である.本研究は,この心理的な生活の質の向上する方法として,モノやコトに関して人々の抱く感性の過程をモデル化し,モノとコトに関する感性をコンピュータ上でシミュレーション可能とする仕組みを開発した.個人の感性のコピーである感性モデルを用いて,一人ひとりの感性を模倣し,人の心をポジティブに変化させることに仕組みを実現することができた.

Report

(6 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (12 results)

All 2022 2021 2020 2019

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 3 results) Presentation (9 results) (of which Int'l Joint Research: 3 results)

  • [Journal Article] Mood Estimation Method in a Group Using Smartwatches to Support Positive Tourism Experiences2022

    • Author(s)
      OGINO Akihiro、IKEMATSU Yusuke
    • Journal Title

      International Journal of Affective Engineering

      Volume: 21 Issue: 1 Pages: 33-42

    • DOI

      10.5057/ijae.IJAE-D-20-00010

    • NAID

      130008149339

    • ISSN
      2187-5413
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Personalized Music Playlist Generation Method for Placing the Listener in a Positive Mood2022

    • Author(s)
      MORIZUMI Shunki、OGINO Akihiro
    • Journal Title

      International Journal of Affective Engineering

      Volume: 21 Issue: 3 Pages: 159-168

    • DOI

      10.5057/ijae.IJAE-D-21-00021

    • NAID

      130008165025

    • ISSN
      2187-5413
    • Related Report
      2022 Annual Research Report 2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Impression-Based Music Playlist Generation Method for Placing the Listener in a Positive Mood2020

    • Author(s)
      Akihiro OGINO, Yuta Uenoyama
    • Journal Title

      International Journal of Affective Engineering

      Volume: 19 Issue: 2 Pages: 145-154

    • DOI

      10.5057/ijae.IJAE-D-19-00016

    • NAID

      130007866881

    • ISSN
      2187-5413
    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Personalized Music Playlist Generation Method Based on Personal Impression and Pleasure2022

    • Author(s)
      Shunki MORIZUMI, Akihiro OGINO
    • Organizer
      International Symposium on Affective Science and Engineering
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 楽曲に対する個人の印象に基づいてポジティブな気分への変化を促すプレイリスト設計法2021

    • Author(s)
      守留俊輝,荻野晃大
    • Organizer
      日本感性工学会
    • Related Report
      2020 Research-status Report
  • [Presentation] 複数人の気分を盛り上げる楽曲の構成における未知・既知曲の効果2020

    • Author(s)
      荻野晃大
    • Organizer
      日本感性工学会
    • Related Report
      2020 Research-status Report
  • [Presentation] Estimation System of the Mood in a Group Using Smartwatches for Supporting a Positive Experience at Tourism2019

    • Author(s)
      Akihiro OGINO, Yusuke Ikematu
    • Organizer
      the 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 同感インテリアデザインシステムに関する研究2019

    • Author(s)
      安井勇樹,荻野晃大
    • Organizer
      第14回日本感性工学春季大会
    • Related Report
      2018 Research-status Report
  • [Presentation] 楽曲特徴を用いた人の気分をポジティブにする楽曲 プレイリストの自動構成システム2019

    • Author(s)
      上野山雄太,荻野晃大
    • Organizer
      第14回日本感性工学春季大会
    • Related Report
      2018 Research-status Report
  • [Presentation] 生体情報を用いたメンバー間のポジティブ体験を促す観光支援システム2019

    • Author(s)
      池松勇輔,荻野晃大
    • Organizer
      第14回日本感性工学春季大会
    • Related Report
      2018 Research-status Report
  • [Presentation] 複数人の好みと意外性を考慮した気分をポジティブにする経路推薦システム2019

    • Author(s)
      弓削舜希,荻野晃大
    • Organizer
      第14回日本感性工学春季大会
    • Related Report
      2018 Research-status Report
  • [Presentation] Music Playlist Generation System for Changing a Listener’s Mood to a Positive State2019

    • Author(s)
      Akihiro Ogino, Yuta Uenoyama
    • Organizer
      International Society of Affective Science and Engineering 2019
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research

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Published: 2018-04-23   Modified: 2024-01-30  

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