東京大学（工・機械） 柳澤研究室 文献リスト

Publication list of Yanagisawa Lab. at UTokyo

ジャーナル論文（Journal articles）

感情力学（Emotion mechanics）

基盤となる数理モデルと実験検証

  1. Hideyoshi Yanagisawa, Kawamata, O., & Ueda, K. (2019). Modeling emotions associated with novelty at variable uncertainty levels: A Bayesian Approach. Frontiers in Computational Neuroscience, 13(2).
    (    Editor’s pick 2021)
    https://doi.org/10.3389/fncom.2019.00002
    KLダイバージェンス（情報獲得）が、驚き（覚醒度）に対応することを初めて実証。
  2. Hideyoshi Yanagisawa (2021). Free energy model of emotion potential: Modeling arousal potential as information content induced by complexity and novelty, Frontiers in Computational Neuroscience, 19.
    https://doi.org/10.3389/fncom.2021.698252
    自由エネルギーが感情の覚醒度の一般形式となることを数学的に説明
  3. Masafumi Miyamoto, Hideyoshi Yanagisawa (2021). Modeling acceptable novelty based on Bayes information (Experimental verification of acceptance of deviation from musical rules) , International Journal of Affective Engineering 20(4). https://doi.org/10.5057/ijae.IJAE-D-21-00001
  4. Kazutaka Ueda, Takahiro Sekoguchi, Hideyoshi Yanagisawa (2021). How predictability affects habituation to novelty. PLOS ONE, 16(6), e0237278. https://doi.org/10.1371/journal.pone.0237278
  5. Kazutaka Ueda, Sakai, Y., Hideyoshi Yanagisawa (2021). Quantitative evaluation of sense of discrepancy of operation response using event-related potential. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 15(2).
    https://doi.org/10.1299/jamdsm.2021jamdsm0023
  6. Hideyoshi Yanagisawa, Wu, X., Ueda, K., & Kato, T. (2023). Free energy model of emotional valence in dual-process perceptions. Neural Networks, 157, 422–436. https://doi.org/10.1016/j.neunet.2022.10.027.
    二重過程におけるAha体験の数理モデル。自由エネルギーの減少が感情価に対応することを説明。
  7. Ueda, K., Wu, X., & Yanagisawa, H. (2025). Neural mechanisms of emotion during shifting perspectives and recognizing new information: An fMRI study. PloS One, 20(6), e0309273.
    https://doi.org/10.1371/journal.pone.0309273
    6)の数理モデルをfMRIを用いた実験により検証
  8. Hideyoshi Yanagisawa, Shimon Honda (2025). Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations, Frontiers in Psychology, 16, 1438080. https://doi.org/10.3389/fpsyg.2025.1438080
    探究を促進する２つの好奇心を自由エネルギー減少（情報獲得）を用いて説明。

感情力学の応用

  1. Shimon Honda, Hideyoshi Yanagisawa, Takeo Kato. (2022). Aesthetic shape generation system based on novelty and complexity. Journal of Engineering Design, 33(12), 1016-1035.
    https://doi.org/10.1080/09544828.2022.2155343
  2. Hiromasa Sasaki, Takeo Kato, Hideyoshi Yanagisawa (2023). Quantification of “novelty” based on free-energy principle and its application for “aesthetic liking” for industrial products, Research in Engineering Design, Vol. 35, 21–41. https://doi.org/10.1007/s00163-023-00422-6
  3. 大橋優一郎，柳澤秀吉：色彩設計のための新奇色に対する受容性の数理モデル（自由エネルギーを用いた覚醒ポテンシャル理論の応用）日本機械学会論文集, 2024. 90 巻 940 号 p. 24-00085.
    https://doi.org/10.1299/transjsme.24-00085
  4. 澤田一葉，柳澤秀吉，加藤健郎：規則性認識が美的評価に与える影響－無意味図形を用いた自由エネルギーモデルの検証－，日本感性工学会論文誌，2024, 24(1), p. 37-49.
    https://doi.org/10.5057/jjske.TJSKE-D-24-00020
  5. 赤星太優，柳澤秀吉：利他性の調節がエージェント間インタラクションの流暢性へ及ぼす影響，日本感性工学会論文誌，2025, 24(1), p. 51-70. https://doi.org/10.5057/jjske.TJSKE-D-24-00012
  6. Honda, S., & Yanagisawa, H. (2025). The impact of Shannon surprise of motion on interest and sustained engagement: exploring the potential of motion design. Research in Engineering Design, 36(4). https://doi.org/1–15.10.1007/s00163-025-00456-y

インタラクション・主体感（Interaction and agency）

  1. Takashi Hashimoto, Hideyoshi Yanagisawa (2020). Modeling individual differences in risk feeling of autonomous driving behavior with a prediction error, Journal of Advanced Mechanical Design, Systems, and Manufacturing, 14(6). https://doi.org/10.1299/jamdsm.2020jamdsm0078
  2. Chang Li, Hideyoshi Yanagisawa (2021). Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions. PLOS ONE, 16(4), e0250326. https://doi.org/10.1371/journal.pone.0250326
  3. 番場雅典, 柳澤秀吉： 情報利得を用いた操作主体感の数理モデリング（応答遅れ時間を用いた検証）. 日本機械学会論文集, 87-893， p. 20-00035，2021．https://doi.org/10.1299/transjsme.20-00035
  4. Qiuyu Yang, Hideyoshi Yanagisawa (2022). Effects of space discrepancy and latency on the sense of agency with discrete and continuous operations, International Journal of Affective Engineering 21(1), 13-22. https://doi.org/10.5057/ijae.IJAE-D-21-00002
  5. Masaki Isono, Hideyoshi Yanagisawa (2024), Sense of agency in operations with delays: a free-energy model and application to interface design, Journal of Mathematical Psychology 120–121, 102859. https://doi.org/10.1016/j.jmp.2024.102859
  6. Takuma Miyaguchi, Hideyoshi Yanagisawa (2024), Modeling the sense of presence of remote participants in hybrid communication and its application to the design of avatar robot’s intervention behavior, International Journal of Affective Engineering, 23(2), 195-209. 
    https://doi.org/10.5057/ijae.IJAE-D-23-00049
  7. Taniyama, K., Yanagisawa, H. (2025). Interaction between prediction error and prediction uncertainty on the sense of agency in continuous operations, International Journal of Affective Engineering, https://doi.org/10.5057/ijae.IJAE-D-25-00011
  8. Kensaku Taniyama, Hideyoshi Yanagisawa (2025). Sense of agency as a function of prediction errors and uncertainties: Free energy model and experimental evidence, International Journal of Affective Engineering, 24(1), 1-13. doi.org/10.5057/ijae.IJAE-D-24-00018.

ベイズ知覚・期待効果・クロスモーダル（Bayesian perception, expectation effect, cross-modal）

  1. 柳澤秀吉, 高辻賢司：視覚による事前予測の影響を考慮したテクスチャの感性評価手法, 日本機械学会論文集 C 編, 78-796, pp. 3830- 3841, 2012．
    https://doi.org/10.1299/kikaic.78.3830
  2. 柳澤秀吉, 勇木徳仁：物体の表面属性に対する視覚的感性が持ち上げ時の体性感覚に与える影響（感覚モダリティの遷移における予測感性）, 日本機械学会論文集C編, 78-789, pp. 609-620, 2012.
    https://doi.org/10.1299/kikaic.78.1913
  3. 柳澤秀吉, 高辻賢司：テクスチャの触感における視覚的期待効果の抽出法（プラスチック・シボの粗さ感における視覚の期待効果），本機械学会論文集 C 編, 79-807, pp. 4028-4038, 2013．
    https://doi.org/10.1299/kikaic.79.4028
  4. 柳澤秀吉, 高辻賢司, 三上夏：感性品質における期待効果の要因モデル（予測の不確実性と事後に獲得する情報量が期待効果に与える影響），日本機械学会論文集 C 編, 80-818, p. TRANS0284, 2014.
    http://doi.org/10.1299/transjsme.2014trans0284)．
  5.  Hideyoshi Yanagisawa, Kenji Takatsuji (2015). Expectation effect of perceptual experience in sensory modality transitions: modeling with information theory, Journal of Intelligent Manufacturing, 24, pp. 1-10,.
    http://doi.org/10.1007/s10845-015-1096-7
  6. Hideyoshi Yanagisawa, Kenji Takatsuji (2015). Effects of Visual Expectation on Perceived Tactile Perception: An Evaluation Method of Surface Texture with Expectation Effect, International Journal of Design, 9(1).
    https://www.ijdesign.org/index.php/IJDesign/article/view/1536/0
  7. Hideyoshi Yanagisawa (2016). A computational model of perceptual expectation effect based on neural coding principles. Journal of Sensory Studies, 31(5), 430-439. http://doi.org/10.1111/joss.12233
    ベイズ脳理論を用いた知覚の一般数理モデル（期待効果モデル）
  8. Hideyoshi Yanagisawa, & Miyazaki, C. (2019). A methodology for extracting expectation effect in user-product interactions for multisensory experience design. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 13(1), JAMDSM0013-JAMDSM0013.
    https://doi.org/10.1299/jamdsm.2019jamdsm0013
  9. Hideyoshi Yanagisawa, Miyamoto, M., & Arima, S. (2022). Modelling of state of charge recognition: Use of a Bayesian approach to formulate hidden state perceptions and emotions. International Journal of Intelligent Transportation Systems Research, 20, 612–622.
    https://doi.org/10.1007/s13177-022-00313-5
  10. Junpei Hayashi, Takeo Kato, Hideyoshi Yanagisawa (2024), Complexity Mediated Cross-modal Correspondence between Tone Sequences and Shapes, International Journal of Affective Engineering, 23(2), 95-107. https://doi.org/10.5057/ijae.IJAE-D-23-00048
  11. Daniel Horst, Junpei Hayashi, Takeo Kato, Hideyoshi Yanagisawa (2024), Investigating Crossmodal Correspondences Between Vibrotactile Stimuli and Colors, International Journal of Affective Engineering, 23(2), 125-142. https://doi.org/10.5057/ijae.IJAE-D-23-00047

Sustainability・Well-being

  1. Meng-xun Ho, Hideyoshi Yanagisawa (2023). Design for well-being and sustainability: A conceptual framework of the peer-to-peer sharing and reuse platform in the circular economy, Sustainability. 15(11), 8852.
    doi.org/10.3390/su15118852
  2. Meng-xun Ho, Hideyoshi Yanagisawa (2025). The value of user-generated information exchange: Driving sustainability in peer-to-peer circular economies. Journal of Cleaner Production, 491.
    https://doi.org/10.1016/j.jclepro.2025.144811.

感性工学一般・デライトデザイン（Kansei Engineering general）

  1. Simon Schütte, Anitawati Mohd Lokman, Lluis Marco-Almagro, Shigekazu Ishihara, Hideyoshi Yanagisawa, Toshimasa Yamanaka, Nuno Valverde, Shirley Coleman (2023). Kansei for the Digital Era, International Journal of Affective Engineering, 23(1), 1-18.
    https://doi.org/10.5057/ijae.IJAE-D-23-00003
  2. 柳澤秀吉：多言語意味ネットワークの開発（曖昧な語彙の意味分析と翻訳妥当性の評価への応用），日本機械学会論文集，84(867), 2018.
  3. Marta Perez, Saeema Ahmed-Kristensen, Per Brunn Brockhoff, Hideyoshi Yanagisawa (2016). Investigating the influence of product perception and geometric features. Research in Engineering Design, 1-23.
    https://doi.org/10.1007/s00163-016-0244-1
  4. Hideyoshi Yanagisawa, Sohya Nakano, Tamotsu Murakami, A proposal of kansei database framework and kansei modelling methodology for the delight design platform, Journal of Integrated Design and Process Science, 20(2), 73-84, 2016.
    https://doi.org/10.3233/jid-2016-0014
  5. Shouhei Shirafuji, Taiki Ogata, Zhifeng Huang, Naotaka Matsui, Takeji Ueda, Jukai Maeda, Yasuko Kitajima, Masako Kanai, Yasushi Umeda, Hideyoshi Yanagisawa, Jun Ota (2018). "Study of design factors for transfer-aid equipment based on caregivers’ feelings." Journal of Advanced Mechanical Design, Systems, and Manufacturing 12(1): JAMDSM0013-JAMDSM0013.
  6. Kazutaka Ueda, Tomohiro Takahashi, Takamasa Noda, Hideyoshi Yanagisawa, Tamotsu Murakami (2016). Cognitive and Neural Mechanisms of Aesthetic Sensitivity with regard to Product Form, Journal of Integrated Design and Process Science, Vol. 20, No.2, pp. 1-12.
    https://doi.org/10.3233/jid-2016-001
  7. Takashi Tsujimura, Hideyoshi Yanagisawa (2015). Causal relationship between lighting conditions and visual expectation of food products: A potential of memory color, International Journal of Affective Engineering, Vol. 14, No.4, pp. 269-277.
    https://doi.org/10.5057/ijae.IJAE-D-14-23
  8. Vlaho Kostov, Shuichi Fukuda, Hideyoshi Yanagisawa and Martin Johansson (2001). "Method for Face-Emotion Retrieval from Video, Using A Cartoon Emotional Expression Approach", JSME International Journal, Series C, Vol. 44, No. 2, pp.151-126.
  9. 柳澤秀吉, 田頭亨祐, 村上存：注目点を考慮した設計属性と感性の因果ルール抽出法（視線特徴とラフ集合理論にもとづくアプローチ）, 日本機械学会論文集C編, 77 -776, pp. 342-354, 2011.
  10. 柳澤秀吉, 村上存，片岡哲志，大富浩一，穂坂倫佳：未踏特徴量領域の感性分析による潜在評価因子の抽出法（製品音の感性品質への適用）, 日本機械学会論文集C編, 75-756, pp.54-64, 2009.
  11. 柳澤秀吉, 横尾俊輔, 村上存, 大富浩一, 穂坂倫佳：製品音の感性設計における和音性特徴量の効果 (クリーナの定常音を事例として), 日本機械学会論文集 C編, 78-787, pp. 921-927, 2012.
  12. 柳澤秀吉, 村上存，大富浩一，穂坂倫佳：感性の多様性を考慮した感性品質の定量化手法（製品音の設計における感性品質の定量化への適用）, 日本機械学会論文集C編, 74-746, pp.273-282, 2008.
  13.  柳澤秀吉，福田収一： 顧客の主観評価を考慮した対話型意匠設計支援システムの開発, 日本機械学会論文集, C編, 68-675, pp. 295-302, 2002. (日本機械学会論文賞)
  14. 柳澤秀吉，Vlaho KOSTOV， 福田収一： 印象語による意匠設計支援方法の開発（感性の多様性を考慮して）, 日本機械学会論文集, C編, 67-657,C pp. 464-470, 2001.

対話型進化計算・形状デザイン（Shape aesthetics）

  1. Hideyoshi Yanagisawa, Shuichi Fukuda (2007). Design Optimization for Customers’ Kansei Requirement: Application of Interactive Reduct Evolutional Computation to Industrial Design with curves, International Journal of Manufacturing Technology and Management, Vol.10, No.4, pp. 360-377.
    https://doi.org/10.1504/IJMTM.2007.012155
  2. Hideyoshi Yanagisawa, Shuichi Fukuda (2005). Interactive Reduct Evolutionary Computation for Aesthetic Design, ASME Transactions, Journal of Computing and Information Science in Engineering, Vol. 5, No.1, pp. 1-7.
    https://doi.org/10.1115/1.1846055
  3. Hideyoshi Yanagisawa, Shuichi Fukuda (2004). Development of Interactive Industrial Design support System Considering Customer's Evaluation - Shape Design of Eyeglass Frame- ", JSME International Journal, Series C, Vol. 47, No. 2, pp. 762-769.
    https://doi.org/10.1299/jsmec.47.762
  4. 柳澤秀吉, 村上存：感性設計における顧客の潜在的な評価視点の抽出とその効果（他者間での視点の相互評価と想定外視点の抽出）, 日本機械学会論文集C編73-735, pp.228-236, 2007.
  5. 柳澤秀吉, 村上存：視点共有型意匠形状生成システムの開発（異質な視点による顧客の潜在感性の喚起）, 日本機械学会論文集C編73-735, pp.220-227, 2007.
  6. 柳澤秀吉, 村上存：嗜好フィーチャに基づく意匠設計支援システムの開発（自己の注目点の気づきによる潜在感性の喚起）, 日本機械学会論文集C編 72-722, pp. 363-370, 2006.
  7. 柳澤秀吉，村上存，福田収一：個人の注目特徴に基づく形状創成（注目特徴の明示化による潜在的感性の外在化），日本知能情報ファジィ学会誌, 18-4, pp.534-544, 2006.
  8. 柳澤秀吉，福田収一： 大域的特徴量にもとづく対話型縮約進化計算（意匠設計における曲線形状処理への適用, 日本機械学会論文集C編, 70-699, pp.322-330, 2004.
  9. 柳澤秀吉，福田収一: 対話型縮約進化計算法による感性設計（顧客が注目する設計特徴を考慮して, 日本機械学会論文集C編, 70-694, pp. 258-265, 2004.

その他（etc）

  1.  鈴木杏奈，山口純，柳澤秀吉：C.S.パースの探究理論と自由エネルギー原理に基づく地域共創モデリング，デザイン学研究（accepted）
  2. 菊池達也，柳澤秀吉，青木直人，福崎昭信，Vlaho KOSTOV，小西史一，福田収一：グローバル・チーム・ベースド・プロダクト・デザイン教育の試み, 教育システム情報学会誌,Vol.18, No.2, pp210-218, 2001.
  3. 星野崇宏，荒井一博，平野茂実，柳澤秀吉，組織風土と不祥事に関する実証分析，一橋経済，Vol.2, No.2, pp.157-177, 2008．

解説論文・総合報告等

  1.  Hideyoshi Yanagisawa (2026), Toward Emotion Mechanics : Free-energy model of emotion dimensions, Tohoku Series of Mathematical Science, Springer.
  2. 柳澤秀吉：感情力学と探究サイクル（興味と好奇心の数学的原理），設計工学, Vol.58, No.10, 2023.
  3. 柳澤秀吉：自由エネルギーを用いた認識・行動・感情の数理モデル（感性設計のための数理 第3報），設計工学（日本設計工学会誌 特集「感性設計の新展開Ⅲ」）, Vol.57, No.2, 2022.
  4. 柳澤秀吉：感情の数理（感性設計のための数理モデリング第2報），設計工学（日本設計工学会誌 特集「感性設計の新展開Ⅱ」）, Vol.55, No.4, 2020.
  5. 柳澤秀吉：感性のプリンキピアを探究する（クロスモーダルから感情まで），日本感性工学会誌（特集「感性モデリング」），Vol.17, No.4, 2019.
  6. 柳澤秀吉：感性のプリンキピアを目指して（知覚の相対論とその数理）, 日本機械学会誌（特集「感性認知工学の可能性」），Vol.122, No.1208, pp.12-15, 2019.
  7. 柳澤秀吉：感性設計のための数理モデリング（二つのアプローチ），設計工学（日本設計工学会誌 特集「感性設計の新展開」）, Vol.53, No.9, 2018.
  8. 柳澤秀吉：エステティックデザイン（潜在する感性の外在化），日本機械学会誌， Vol.112,No.1083, 2009.
  9. 柳澤秀吉：人とモノの関係性における感性設計，設計工学， Vol.43,No.11, 2008.
  10.  柳澤秀吉：感性の多様性に対応した感性品質の定量化手法（製品の音質設計を事例として），設計工学， Vol.43,No.10, 2008.
  11.  柳澤秀吉：感性と設計，機械の研究，養賢堂，59-1, pp.191-197, 2007.
  12.  柳澤秀吉：感性の多様性を考慮した感性品質の定量指標化手法（製品の音質設計への適用），日本機械学会誌12月号，Vol. 110 No.1069, pp.959, 2007.
  13. 筆頭共著
  14. 柳澤秀吉，村上存：感性やユーザー行動に基づく設計（特集：ユーザーエクスペリエンス），日本機械学会誌，Vol.121, No.1195, pp.22-25, 2018.
  15. 澁江秀明, 柳澤秀吉：ドライビングシミュレータを活用した自動車の感性設計，設計工学（日本設計工学会誌）, Vol.57, No.2, 2022.
  16. 早川忠将，柳澤秀吉，中川聰，大久保翔太：自動車のブランドデザイン表現開発における感性評価，設計工学, Vol.53, No.9, 2018.
  17. Lo, C.-H., Chu, C.-H., Yanagisawa, H., & Jianxin. (2017). Scientific advances in product experience engineering. Journal of Intelligent Manufacturing, 28(7), 1581-1584. doi:10.1007/s10845-016-1263-5
  18. 村上存，濱口哲也，及川和広，草加浩平，柳澤秀吉，泉聡志，原祥太郎：東京大学機械系三学科における3次元CADによる設計教育，設計工学（日本設計工学会誌）42-11, pp.11-19, 2007.

 著書・編著（Books）

  1. Hideyoshi Yanagisawa (2023). Information Theoretic Emotions—A Mathematical Framework of Emotion Potential Caused by Complexity and Novelty. In: Fukuda, S. (eds) Emotional Engineering, Vol. 9. Springer, Cham. https://doi.org/10.1007/978-3-031-05867-7_10
  2. Hideyoshi Yanagisawa (2020). A Mathematical Model of Emotions for Novelty, In Fukuda S, editor. Emotional Engineering Volume 8, Springer (DOI: 10.1007/978-3-030-38360-2_12).
  3. Hideyoshi Yanagisawa (2016), Expectation Effect Theory and Its Modeling, In Fukuda S, editor. Emotional Engineering Volume 4, Springer, pp. 199-211, (DOI: 10.1007/978-3-319-29433-9_11).
  4. Hideyoshi Yanagisawa (2010), Kansei quality in product design, In Fukuda S, editor. Emotional engineering - Service development, Springer, pp. 289-310.
  5. 柳澤秀吉：知覚と感情の数理モデリング，「ヒトの感性・認知」解析への人工知能の活用とモデリング，技術情報協会，2021.
  6. 日本デザイン学会編：デザイン科学事典，丸善出版，2019.（編集幹事と執筆を担当）
  7. 柳澤秀吉，期待効果の数理モデル～クロスモーダルの法則性，人の感性に訴える製品開発とその評価，技術情報協会，pp.49-56, 2018.
  8. 柳澤秀吉：音質評価，音響キーワードブック，日本音響学会編，コロナ社，2016
  9. 柳澤秀吉：官能評価データの多様性解析法（製品音の感性設計を事例として），官能評価活用・感覚の定量化・数値化手法，pp.381-387, 技術情報協会, 2014.
  10. 柳澤秀吉：感性の多様性を考慮した製品音の定量指標化，製品音の感性設計における和音性特徴量の効果，製品音の快音技術，Ｓ＆Ｔ出版，2012．
  11. 柳澤秀吉：和音性を利用した製品音と快音設計，新商品開発における高級・上質・本物感を付与・演出する技術, 技術情報協会, 2012.
  12. 柳澤秀吉：アフォーダンス，かたち・機能のデザイン事典，丸善出版，2011.
  13. 柳澤秀吉：感覚・感情とロボット，日本機械学会編，工業調査会，2008, pp.183-191.
  14. 柳澤秀吉：潜在感性の外在化，日本機械学会編，HCDハンドブック：人間中心設計， 丸善, pp. 32-56, 2006.

査読あり国際会議論文（Proceedings）

(1)         Hideyoshi Yanagisawa (2020). Mathematical Model of Emotions Associated with Novelty, The 5th International Conference on Design Engineering and Science(ICDES2020).

(2)         Hideyoshi Yanagisawa (2019). Information-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty, International Conference on Kansei Engineering & Emotion Research(KEER) 2020.

(3)         Hideyoshi Yanagisawa (2018). Towards mathematical modeling of emotions elicited by novelty: An information theoretic approach, Proceedings of International Conference on Human Systems Engineering and Design.

(4)         Hideyoshi Yanagisawa (2018). Multilingual semantic networks for kansei study, Advances in Intelligent  Systems  and Computing: Proceedings of the International Conference on Kansei Engineering and Emotion Research 2018, pp. 408-417. DOI: 10.1007/978-981-10-8612-0_43.  (Best paper award)

(5)     Hideyoshi Yanagisawa “A Computational Model of Human Perception with Prior Expectation: Bayesian Integration and Efficient Coding”, ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2015-46669, 2015.

(6)     Yanagisawa, H., Miyazaki, C., Bouchard, C., Kansei Modeling methodology for multisensory UX design for Multimodal User Experience, International Conference on Engineering Design, 2017.

(7)     Yanagisawa, H., Miyazaki, C., Nakano, S., Kansei Modeling for Multimodal User Experience, Proceedings of Internoise, 2016.

(8)     Yanagisawa, H., Nakano, S., and Murakami, T., A Kansei Database Framework for the Delight Design Platform, Proceedings of AHFE International Conference 2016, Advances in Affective and Pleasurable Design. Advances in Intelligent Systems and Computing, Vol. 483. Springer.

(9)     Yanagisawa, H., Mikami, N., “How Does Expectation Change Perception? A Simulation Model of Expectation Effect Based on Bayesian Estimation”, 20th International Conference on Engineering Design, 2015. (Reviewer’s faveolate)

(10)  Yanagisawa, H., Mikani, N., “Effects of Expectation Uncertainty and Surprise on Quality Perception”, ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2014-34458, 2014.

(11)  Yanagisawa, H., Takahashi, Y., Okuno, T., Suzuki, H., Tsuchiya, E., “Long-term Analysis of Affective Qualities that Change over Time”, ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2013-12109, 2013.

(12)  Yanagisawa, H., Takatsuji, K., Mikami, N., “Effect of Expectation on Affective Quality Perception: Modeling with Information Theory”, 19th International Conference on Engineering Design, 2013.

(13)  Yanagisawa, H., Takatsuji, K., "Effect of Visual Expectation on Sensory Design of Tactile Texture Owing to Expectation Disconfirmation", ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2012-70186, pp.1-8, 2012.

(14)  Yanagisawa, H., Takatsuji, K., “A Method for Evaluating Tactile Sensation with Visual Expectation Effect”, Proceedings of International Conference on Kansei Engineering and Emotion Research, pp.1-8, 2012.

(15)  Yanagisawa, H., Yuki, N., “Sensory Modal Transition from Expectation to Experience”, Proceedings of International Conference on Kansei Engineering and Emotion Research, pp.1-8, 2012.

(16)  Yanagisawa, H., and Yuki, N., “Deviation of visual expectation from somatosensory experience in emotional quality (Effects of surface characteristic in context of “lifting object”)”, ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2011- 47568, pp.1-10, 2011.

(17)  Yanagisawa, H., Yokoo, S., Murakami, T., Ohtomi, K., and Hosaka, R., “Effect of Tonal Harmonic Feature in Product Noise on Emotional Quality”, Proceedings of the 18th ISPE International Conference on Concurrent Engineering, pp.467-776, 2011.

(18)  Yanagisawa, H., Yoshinaga, R., Murakami, T., Ohtomi, K., and Hosaka, R., “Sense of Harmony between Product Sound Quality and Color Sensation: A Case Study of Vacuum Cleaner”, Internoise, pp.1-10, 2010.

(19)  Hideyoshi Yanagisawa, Tamotsu Murakami, Ryo Yoshinaga, Koichi Ohtomi and Rika Hosaka: "A Method for Extraction of Potential Emotional Quality by Analysing Emotional Response Towards Unexplored Design: Application to Product Sound Quality", ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp.1-10, Paper No. DETC2009-86446, 2009.

(20)  Hideyoshi Yanagisawa, Yasuhide Kozuka, Masayuki Matsunaga and Tamotsu Murakami: "Observation support system for recording, reviewing and sharing observed design problems", International Association of Societies of Design Research, pp.1-10, 2009.

(21)  Hideyoshi Yanagisawa, Atsushi Kataoka, Tamotsu Murakami, Koichi Ohtomi and Rika Hosaka: "Extraction of Latent Emotional Factors by Analyzing Human Sensitivity towards Unexplored Design: Application to Product Sound Design", Proceedings of the 17th International Conference on Engineering Design, Vol. 7, pp.13-24, 2009.

(22)  Hideyoshi Yanagisawa, Tamotsu Murakami: "Factors affecting viewpoint shifts when evaluating shape aesthetics: Towards extracting customer’s latent needs of emotional quality", ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2008-49279, pp.1-10, 2008.

(23)  Hideyoshi Yanagisawa and Tamotsu Murakami: "Extraction of Customer's Latent Viewpoints by Mutual Evaluation", Proceedings of the 16th International Conference on Engineering Design 2007, paper no. DS42_P_49, 2007.

(24)  Hideyoshi Yanagisawa and Tamotsu Murakami: "Emotional Shape Generation System with Exchange of Others’ Viewpoints - For Externalizing Customers’ Latent Sensitivity", ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2007-34726, pp.1-10, 2007.

(25)  Hideyoshi Yanagisawa, Tamotsu Murakami, Shogo Noguchi, Koichi Ohtomi and Rika Hosaka: "Quantification Method of Diverse Kansei Quality for Emotional Design - Application of Product Sound Design", ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper No. DETC2007-34627, pp. 1-10, 2007.

(26)  Hideyoshi Yanagisawa, Tamotsu Murakami and Shuichi Fukuda: "Favored Feature based Shape Generation: Externalization of Latent Kansei", ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp.1-10, 2006.

(27)  Hideyoshi Yanagisawa and Shuichi Fukuda: "Global Feature based Interactive Reduct Evolutional Computation for Aesthetic Design", ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp.1-10, 2004.

(28)  Hideyoshi Yanagisawa and Shuichi Fukuda: "Interactive Design Support System by Customer Evaluation and Genetic Evolution: Application to Eye Glass Frame", in V. Palade, R.J. Howlett, and L.C. Jain(Eds.): KES 2003, LNAI2774, Springer-Verlag Berlin Heidelberg, pp.481-487, 2003.

(29)  Hideyoshi Yanagisawa and Shuichi Fukuda: "Interactive Reduct Evolutional Computation for Aesthetic Design", ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp.1-10, 2003. (Best paper award)

(30)  Shimon Honda, Hideyoshi Yanagisawa (2024). Kinetic Design Generation System Based on Mathematical Modeling of Curiosity and Interest, Proc. International Conference on Kansei Engineering & Emotion Research 2024.

(31)  Shotaro Kushi, Hideyoshi Yanagisawa (2024), Insight and In-depth interviews, Proc. International Conference on Kansei Engineering & Emotion Research 2024.

(32)  Aika Yukimoto, Jumpei Hayashi, Takeo Kato, Hideyoshi Yanagisawa (2024). Crossmodal Correspondence between taste and vision regarding complexity of shape, Proc. International Conference on Kansei Engineering & Emotion Research 2024.

(33)  Shotaro Kushi, Hideyoshi Yanagisawa (2024). Innovation of Meaning： Design-driven Study Based on the Interpretive Theory of New Meaning, Proceedings of the Design Society, 4, pp. 35–44.

(34)  Jumpei Hayashi, Takeo Kato, Hideyoshi Yanagisawa (2023). Cross-modal Correspondence between Sound Pitch and Shape Controlled by Shape Feature Indices, Proc. the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC23).

(35)  Honda, S., & Yanagisawa, H. (2023). Shape Generation System for Optimizing Aesthetic Interest associated with Novelty and Complexity. Proceedings of the Design Society, Vol.3 (ICED23), 3155–3164. (Reviewers’ Favorite Award)

(36)  Taniyama, K., & Yanagisawa, H. (2023). Free-energy model of sense of agency for human-machine interface design based on comparator model. Proceedings of the Design Society, Vol.3 (ICED23), 1945–1954.

(37)  Meng-Xun Ho, Hideyoshi Yanagisawa (2023). Design for well-being in peer-to-peer circular economy, Proc. International Applied Human Factors and Ergonomics Conference 2023 (Invited talk).

(38)  Meng-Xun Ho, Hideyoshi Yanagisawa (2022). A potential for well-being in peer-to-peer sharing economy: A systematic review and modeling, Proc. International Conference on Kansei Engineering & Emotion Research 2022.

(39)  Hiromasa Sasaki, Takeo Kato, Hideyoshi Yanagisawa, Novelty index for curved surface using KL divergence and its effectiveness on industrial product, Proc. International Conference on Kansei Engineering & Emotion Research 2022.

(40)  Xiaoxiang Wu, Kazutaka Ueda, Hideyoshi Yanagisawa (2022), Modelling emotions of aha moment in category shifting, Proc. International Applied Human Factors and Ergonomics Conference (Invited talk).

(41)  Yubo Feng, Hideyoshi Yanagisawa (2022). Modeling emotions with the free-energy reduction in category recognition: A hierarchical Bayesian approach for perception process, Proc. International Symposium on Affective Science and Engineering 2022.

(42)  Tomohisa Usuda, Hideyoshi Yanagisawa (2022). Mathematical Modeling of Emotion Potential and Pleasure Based on the Dynamics of Free Energy: Verification Using Experimental Data of Musical Pleasures, Proc. International Symposium on Affective Science and Engineering 2022.

(43)  Kazuma Joe Ogasawara, Tomohisa Usuda, Xiaoxiang Wu, Takehiro Hasegawa, Masahiro Hirako, Shuji Fujita, Kazuko Yamagishi, Kazutaka Ueda, Hideyoshi Yanagisawa (2022). Visual-olfactory integration to enrich the digital experience, Proc. International Symposium on Affective Science and Engineering 2022.

(44)  Takehiro Hasegawa, Shuji Fujita, Kazuko Yamagishi, Hideyoshi Yanagisawa (2021). Toward designing olfactory digital experiences: efficient scent ejection methods to reduce total scent amount based on Bayesian cross-modal model, The 9th Congress of the International Association of Societies of Design.

(45)  Satsuki Arima, Masafumi Miyamoto, Hideyoshi Yanagisawa (2021). Modeling human recognition of the state of charge,  International Conference on Design and Concurrent Engineering 2021. (Best paper award)

(46)  Masanori Okada and Hideyoshi Yanagisawa (2021). Modeling Human Prediction for Autonomous Mobile Robot Motion: Prediction based on a Latent Variable of Driving Force, International Conference on Design and Concurrent Engineering 2021.

(47)  Kensaku Taniyama, Takuma Maki, Hideyoshi Yanagisawa (2021). Modeling Sense of Agency using Free Energy, International Symposium on Affective Science and Engineering, DOI: 10.5057/isase.2021-C000011

(48)  Jinhyuk Chang, Hideyoshi Yanagisawa (2021). Mathematical modeling of intrinsic motivation in reversal theory: - Promoting exploration for AI agents, International Symposium on Affective Science and Engineering, DOI: 10.5057/isase.2021-C000012

(49)  Miyamoto, M, Yanagisawa, H. (2020). Modeling acceptable novelty based on information-theoretic dimensions of emotion: How predictability affects acceptance of deviations from musical theory, International Conference on Kansei Engineering & Emotion Research 2020. (Best paper award)

(50)  Hashimoto, T., Yanagisawa, H. (2020). A risk feeling model of autonomous driving behavior, International Conference on Kansei Engineering & Emotion Research 2020.. (Best paper award)

(51)  Miyamoto, M, Yanagisawa, H. (2020). Modeling acceptable novelty using information theory, International Symposium on Affective Science and Engineering, DOI: 10.5057/isase.2020-C000029.

(52)  Hashimoto, T., Yanagisawa, H. (2020). Risk Feeling Index of Autonomous Vehicle Behavior: - Modeling Individual differences based on Expectation Effect Theory, International Symposium on Affective Science and Engineering, DOI: 10.5057/isase.2020-C000011

(53)  Sekoguchi, T., and Yanagisawa, H. (2019). Mathematical model of emotional habituation to novelty: Modeling with Bayesian update and information theory. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC2019, Bari, Italy, October 6, 2019).

(54)  Ueda, K, Sakai Y., and Yanagisawa, H.(2019). Quantitative evaluation of sense of discrepancy to operation response using event-related potential, International Conference on Design and Concurrent Engineering 2019.

(55)  Nanno, D. &Yanagisawa, H. (2019).  Effect of assistive methods on sense of fulfillment with agency, ASME IDETC 2019 (August 18-21, 2019, Anaheim, CA, USA).

(56)  Maki, T., Yanagisawa, H. (2019) ‘A Methodology for Multisensory Product Experience Design Using Cross-modal Effect: A Case of SLR Camera’, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. DOI:10.1017/dsi.2019.387

(57)  Dan Nanno, Hideyoshi Yanagisawa (2019) Proposal of the Model of the Influence of Judgement of Agency on Sense of Fulfillment with Assistive Method, Proceedings of the International Society of Affective Science and Engineering 2019.

(58)  Takahiro Sekoguchi, Hideyoshi Yanagisawa (2019) A Mathematical Model of Emotional Desensitization to Novelty -Modeling with Bayesian Update and Information Theory, Proceedings of the International Society of Affective Science and Engineering 2019.

(59)  Yang Qiuyu, Hideyoshi Yanagisawa (2019) Effect of Latency and Space Discrepancy on Sense of Agency, Proceedings of the International Society of Affective Science and Engineering 2019.

(60)  Chang Li, Hideyoshi Yanagisawa (2019) Intrinsic Motivation in Virtual Assistant Interaction, Proceedings of the International Society of Affective Science and Engineering 2019.

(61)  Harada, T, Yanagisawa, H., Gressier-Soudan, E., Jean, C (2018) Museum experience design based on multi-sensory transformation approach, 15th International Design Conference. pp.2221-2228. https://doi.org/10.21278/idc.2018.0150

(62)  Simeunovic, N., Gentner, A., Badoil, A., Favart, C., Yanagisawa, H., Jean, C. (2018) Kansei Design approach applied to new concept development stage: Establishing communication between automated driving vehicles and their surroundings. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. KEER 2018. Advances in Intelligent Systems and Computing, vol 739. Springer.

(63)  Rovere, F., Murakami, T., Yanagisawa, H., Trial on systematic terminology approach to aid for delight design, Proceedings of AHFE International Conference 2016.

(64)  Mata, P., Saeema, K., Yanagisawa, H., “Perception of aesthetics in consumer products”, 19th International Conference on Engineering Design, 2013.

(65)  Murakami, T., Nakagawa, S., and Yanagisawa, H., “Proposal of “Expectlogy” as design methodology,” Proceedings of the 18th International Conference on Engineering Design, Vol.7, pp.224-233, 2011.

(66)  Tsukada, A., Maeda, T., Yanagisawa, H., Kaneko, S., Murakami, T., Tozaki, M., Tamaru, E., Hasuike, K., “Proposal for User-observation Design Assistant System Focused on Field Work”, 11th IFAC,IFIP,IFORS,IEA, pp.245-250, 2010.

(67)  Ohtomi, K., Hosaka, R., Yanagisawa, H., Murakami, T., Product Sound Design for Diverse Customer's Kansei, Internoise, pp.1-9, 2009.

(68)  Murakami, T., Higuchi, M., Yanagisawa, H., “Trial of Formulating Affordance Features for Product Design”, Proceedings of the 3rd International Conference on Virtual and Mixed Reality, pp.586-595, 2009.

(69)  Tetsuya Kikuchi, Hideyoshi Yanagisawa and Shuichi Fukuda: "Developing a Remote Laboratory for Supporting Creative Learning", World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 807-810, 2003.