Yusuke Ujitoko / 宇治土公 雄介

NTT Communication Science Laboratories / NTTコミュニケーション科学基礎研究所

Yusuke Ujitoko received the B.E. degree in mechanical engineering and the M.A.Sc. degree in interdisciplinary information studies from the University of Tokyo, Tokyo, Japan, in 2014 and 2016, respectively, and the Ph.D. degree from The University of Electro-Communications, Chofu, Japan, in 2020. Since 2020, he has been a Researcher at NTT Communication Science Laboratory, Atsugi, Japan. From 2016 to 2020, he was a Member of the R&D Group, Hitachi, Ltd., Tokyo, Japan. His research interests include applied haptic perception and haptic interfaces.

Email Google Scholar ORCID[0000-0001-6059-9324] Twitter(X) LinkedIn Blog

Work experience
Oct 2020 - Communication Science Laboratories, Nippon Telegraph and Telephone Corporation / 日本電信電話株式会社 コミュニケーション科学基礎研究所
Apr 2016 - Sep 2020 R&D Group, Hitachi, Ltd. / 株式会社日立製作所 研究開発グループ
Education
Sep 2020 Ph.D. in Engineering, The University of Electro-Communications / 電気通信大学 博士(工学)
Mar 2016 M.A.Sc., The University of Tokyo / 東京大学 修士(学際情報学)
Mar 2014 B.E., The University of Tokyo / 東京大学 学士(機械工学)
Research interest
Publication
Journal Paper
  1. Ujitoko, Y., Takenaka, Y., & Hirota, K. (2024). Spatiotemporal motion features resulting from tactile interface layouts influence tactile speed perception. iScience, 27(9), 110803. https://doi.org/10.1016/j.isci.2024.110803
  2. Yokosaka, T., Ujitoko, Y., & Kawabe, T. (2024). Computational account for the naturalness perception of others’ jumping motion based on a vertical projectile motion model. Proceedings. Biological sciences, 291(2031). https://doi.org/10.1098/rspb.2024.1490
  3. Ujitoko, Y., Ban, Y., & Yokosaka, T. (2024). Elucidating Diurnal Patterns in Touch Desire Using Social Media Data Toward Design of Haptic Applications and Displays. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3355413, [pdf]
  4. Ujitoko, Y., Takenaka, Y., & Hirota, K. (2024). Effect of Normal Force Intensity on Tactile Motion Speed Perception Based on Spatiotemporal Cue. IEEE Transactions on Haptics. https://doi.org/10.1109/TOH.2024.3352042, [pdf]
  5. Ujitoko, Y., & Ban, Y. (2023). Toward Designing Haptic Displays for Desired Touch Targets: A Study of User Expectation for Haptic Properties via Crowdsourcing. IEEE Transactions on Haptics, 16(4), 726-735 https://doi.org/10.1109/toh.2023.3310662, [pdf]
  6. Ban, Y., & Ujitoko, Y. (2023). Age and Gender Differences in the Pseudo-Haptic Effect on Computer Mouse Operation in a Desktop Environment. IEEE Transactions on Visualization and Computer Graphics, 30(8), 5566-5580. https://doi.org/10.1109/tvcg.2023.3295389, [pdf]
  7. Ban, Y., Yoshida, T., & Ujitoko, Y. (2023). Impact of Synchronizing Visual Cues with Switch of Foot Contact State on the Presence of Virtual Flight while Seated. IEEE Access, 11, 44531-44543. https://doi.org/10.1109/ACCESS.2023.3272986, [pdf]
  8. Ujitoko, Y., & Kawabe, T. (2023). Specifying Visual Parameters for Haptic-Visual Sequential Matching of Material Softness. IEEE Transactions on Haptics, 16(2), 287-295. https://doi.org/10.1109/TOH.2023.3269016, [pdf]
  9. Yokosaka, T., Ujitoko, Y., & Kawabe, T. (2023). Force illusion induced by visual illusion: Illusory curve in cursor path is interpreted as unintended force. Journal of Vision, 23(4), 5-5. https://doi.org/10.1167/jov.23.4.5
  10. Kawabe, T., & Ujitoko, Y. (2023). Pseudo-Haptic Heaviness Influenced by the Range of the C/D Ratio and the Position of the C/D Ratio Within a Given Range. IEEE Transactions on Haptics, 16(2), 345-350. https://doi.org/10.1109/TOH.2023.3266494, [pdf]
  11. Ujitoko, Y., Kaneko, S., Yokosaka, T., & Kawabe, T. (2023). Falling and heaviness: Heaviness judgment for a visual object which users lift up is influenced by the presentation of the object's falling or staying still. Frontiers in psychology, 14, 1042188. https://doi.org/10.3389/fpsyg.2023.1042188
  12. Kawabe, T., & Ujitoko, Y. (2023). Softness Perception of Visual Objects Controlled by Touchless Inputs: The Role of Effective Distance of Hand Movements. IEEE Transactions on Visualization and Computer Graphics, 30(7), 4154-4169. https://doi.org/10.1109/TVCG.2023.3254522, [pdf]
  13. Ujitoko, Y., Yokosaka, T., Ban, Y., & Ho, H. N. (2022). Tracking changes in touch desire and touch avoidance before and after the COVID-19 outbreak. Frontiers in Psychology, 13, 1016909. https://doi.org/10.3389/fpsyg.2022.1016909
  14. Ujitoko, Y., Tokuhisa, R., & Hirota, K. (2022). Vibrotactile Spatiotemporal Pattern Recognition in Two-Dimensional Space Around Hand. IEEE Transactions on Haptics, 15(4), 718-728. https://doi.org/10.1109/TOH.2022.3213313, [pdf]
  15. Kawabe, T., Ujitoko, Y., Yokosaka, T., & Kuroki, S. (2022). Underestimation in temporal numerosity judgments computationally explained by population coding model. Scientific Reports, 12(1), 15632. https://doi.org/10.1038/s41598-022-19941-8
  16. Ujitoko, Y., & Kuroki, S. (2022). Sinusoidal Vibration Source Localization in Two-Dimensional Space Around the Hand. Frontiers in Psychology, 13, 878397. https://doi.org/10.3389/fpsyg.2022.878397
  17. Kawabe, T., Ujitoko, Y., & Yokosaka, T. (2022). The relationship between illusory heaviness sensation and the motion speed of visual feedback in gesture-based touchless inputs. Frontiers in Psychology, 13, 811881. https://doi.org/10.3389/fpsyg.2022.811881
  18. Ujitoko, Y., & Kawabe, T. (2022). Visual estimation of the force applied by another person. Scientific reports, 12(1), 6216. https://doi.org/10.1038/s41598-022-10243-7
  19. Ujitoko, Y., & Kawabe, T. (2022). Perceptual judgments for the softness of materials under indentation. Scientific reports, 12(1), 1761. https://doi.org/10.1038/s41598-022-05864-x
  20. Hirota, K., Ujitoko, Y., Sakurai, S., & Nojima, T. (2022). Deformation matching: Force computation based on deformation optimization. IEEE Transactions on Haptics, 15(2), 267-279. https://doi.org/10.1109/TOH.2022.3142053, [pdf]
  21. Ujitoko, Y., Ban, Y., & Yokosaka, T. (2021). Getting insights from twitter: what people want to touch in daily life. IEEE Transactions on Haptics, 15(1), 142-153. https://doi.org/10.1109/TOH.2021.3105979, [pdf]
  22. Ujitoko, Y., Tokuhisa, R., Sakurai, S., & Hirota, K. (2021). Impact vibration source localization in two-dimensional space around hand. IEEE Transactions on Haptics, 14(4), 862-873. https://doi.org/10.1109/TOH.2021.3085756, [pdf]
  23. Ota, Y., Ujitoko, Y., Sakurai, S., Nojima, T., & Hirota, K. (2021). Inside Touch: Presentation of Tactile Feeling Inside Virtual Object Using Finger-Mounted Pin-Array Display. IEEE Access, 9, 75150-75157. https://doi.org/10.1109/ACCESS.2021.3082100, [pdf]
  24. Ujitoko, Y., & Ban, Y. (2021). Survey of pseudo-haptics: Haptic feedback design and application proposals. IEEE Transactions on Haptics, 14(4), 699-711. https://doi.org/10.1109/TOH.2021.3077619, [pdf]
  25. Kawabe, T., Ujitoko, Y., Yokosaka, T., & Kuroki, S. (2021). Sense of resistance for a cursor moved by user’s keystrokes. Frontiers in Psychology, 12, 652781. https://doi.org/10.3389/fpsyg.2021.652781
  26. Ujitoko, Y., Taniguchi, T., Sakurai, S., & Hirota, K. (2020). Development of finger-mounted high-density pin-array haptic display. IEEE Access, 8, 145107-145114. https://doi.org/10.1109/ACCESS.2020.3015058, [pdf]
  27. Ujitoko, Y., Ban, Y., & Hirota, K. (2020). GAN-based fine-tuning of vibrotactile signals to render material surfaces. IEEE Access, 8, 16656-16661. https://doi.org/10.1109/ACCESS.2020.2968185, [pdf]
  28. Ban, Y., Ujitoko, Y., & Minamizawa, K. (2020). Edge vibration improves ability to discriminate roughness difference of adjoining areas. IEEE Transactions on Haptics, 13(1), 211-218. https://doi.org/10.1109/TOH.2020.2970057, [pdf]
  29. Ujitoko, Y., Sakurai, S., & Hirota, K. (2019). Influence of sparse contact point and finger penetration in object on shape recognition. IEEE Transactions on Haptics, 13(2), 425-435. https://doi.org/10.1109/TOH.2019.2954882, [pdf]
  30. 宇治土公雄介, 伴祐樹, & 広田光一. (2020). 敵対的学習を用いた触覚提示向け振動の自動生成. 情報処理学会論文誌コンシューマ・デバイス & システム (CDS), 10(1), 1-14. http://id.nii.ac.jp/1001/00203573/
  31. 伴祐樹, & 宇治土公雄介. (2019). バーチャル紐を用いることによるタッチスクリーンでの Pseudo-haptics 効果の向上. 日本バーチャルリアリティ学会論文誌, 24(4), 389-399. https://doi.org/10.18974/tvrsj.24.4_389
  32. Ujitoko, Y., Ban, Y., & Hirota, K. (2019). Modulating fine roughness perception of vibrotactile textured surface using pseudo-haptic effect. IEEE Transactions on Visualization and Computer Graphics, 25(5), 1981-1990. https://doi.org/10.1109/TVCG.2019.2898820, [pdf]
  33. 堀田勇樹, 宇治土公雄介, 福島悠史, 成沢文雄, & 林正人. (2018). アプリケーションの不具合解析を効率化する走行制御向け ECU プラットフォームの検討. 情報処理学会論文誌コンシューマ・デバイス & システム (CDS), 8(2), 24-33. http://id.nii.ac.jp/1001/00189475/
  34. 宇治土公雄介, 鳴海拓志, 伴祐樹, 谷川智洋, 広田光一, & 廣瀬通孝. (2017). 背景移動量操作を利用した視触覚間相互作用生起によるタッチパネルでの擬似触力覚提示. 日本バーチャルリアリティ学会論文誌, 22(3), 305-313. https://doi.org/10.18974/tvrsj.22.3_305
Conference Proceeding
  1. Morisaki, T., & Ujitoko, Y.. Towards Intensifying Perceived Pressure in Midair Haptics: Comparing Perceived Pressure Intensity and Skin Displacement between LM and AM Stimuli. EuroHaptics 2024.
  2. Kawagishi, T., Ban, Y., Ujitoko, Y., & Warisawa, S. I. (2023, July). Enhancing Perceived Resistance and Propulsion by Combining Pseudo-haptics and Pulling Illusion. In 2023 IEEE World Haptics Conference (WHC) (pp. 403-409). IEEE. https://doi.org/10.1109/WHC56415.2023.10224457
  3. Kawabe, T., Ujitoko, Y., & Yokosaka, T. (2021, July). Pseudo-heaviness during mid-air gestures is tuned to visual speed. In 2021 IEEE World Haptics Conference (WHC) (pp. 580-580). IEEE. https://doi.org/10.1109/WHC49131.2021.9517261
  4. Ban, Y., & Ujitoko, Y. (2021, July). Hit-Stop in VR: Combination of Pseudo-haptics and Vibration Enhances Impact Sensation. In 2021 IEEE World Haptics Conference (WHC) (pp. 991-996). IEEE. https://doi.org/10.1109/WHC49131.2021.9517129
  5. Ota, Y., Ujitoko, Y., Ban, Y., Sakurai, S., & Hirota, K. (2020, September). Surface roughness judgment during finger exploration is changeable by visual oscillations. In International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (pp. 33-41). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-58147-3_4
  6. Ujitoko, Y., Sakurai, S., & Hirota, K. (2020, March). Vibrator transparency: Re-using vibrotactile signal assets for different black box vibrators without re-designing. In 2020 IEEE Haptics Symposium (HAPTICS) (pp. 882-889). IEEE. https://doi.org/10.1109/HAPTICS45997.2020.ras.HAP20.80.00957e94
  7. Ban, Y., & Ujitoko, Y. (2019, November). Automated Vibrotactile Generation based on Texture Images or Material Attributes using GAN. In Proceedings of the International Display Workshops (p. 16). https://doi.org/10.36463/idw.2019.0016
  8. Sugamoto, N., Ueta, K., Ujitoko, Y., Sakurai, S., Nojima, T., & Hirota, K. (2019). Inclination Manipulator. In SIGGRAPH Asia 2019 Emerging Technologies (pp. 23-24). https://doi.org/10.1145/3355049.3360541
  9. Ujitoko, Y., Ban, Y., & Hirota, K. (2019, July). Presenting static friction sensation at stick-slip transition using pseudo-haptic effect. In 2019 IEEE World Haptics Conference (WHC) (pp. 181-186). IEEE. https://doi.org/10.1109/WHC.2019.8816100
  10. Ban, Y., & Ujitoko, Y. (2018). TactGAN: Vibrotactile designing driven by GAN-based automatic generation. In SIGGRAPH Asia 2018 Emerging Technologies (pp. 1-2). https://doi.org/10.1145/3275476.3275484
  11. Ujitoko, Y., & Ban, Y. (2018). Vibrotactile signal generation from texture images or attributes using generative adversarial network. In Haptics: Science, Technology, and Applications: 11th International Conference, EuroHaptics 2018, Pisa, Italy, June 13-16, 2018, Proceedings, Part II 11 (pp. 25-36). Springer International Publishing. https://doi.org/10.1007/978-3-319-93399-3_3
  12. Ban, Y., & Ujitoko, Y. (2018, March). Enhancing the pseudo-haptic effect on the touch panel using the virtual string. In 2018 IEEE Haptics Symposium (HAPTICS) (pp. 278-283). IEEE. https://doi.org/10.1109/HAPTICS.2018.8357188
  13. Narumi, T., Ujitoko, Y., Ban, Y., Tanikawa, T., Hirota, K., & Hirose, M. (2017, June). Resistive swipe: Visuo-haptic interaction during swipe gestures to scroll background images on touch interfaces. In 2017 IEEE World Haptics Conference (WHC) (pp. 334-339). IEEE. https://doi.org/10.1109/WHC.2017.7989924
  14. Ujitoko, Y., & Hirota, K. (2015). Application of the Locomotion Interface Using Anthropomorphic Finger Motion. In Human Interface and the Management of Information. Information and Knowledge in Context: 17th International Conference, HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part II 17 (pp. 666-674). Springer International Publishing. https://doi.org/10.1007/978-3-319-20618-9_65
  15. Ujitoko, Y., Ban, Y., Narumi, T., Tanikawa, T., Hirota, K., & Hirose, M. (2015). Yubi-toko: finger walking in snowy scene using pseudo-haptic technique on touchpad. In SIGGRAPH Asia 2015 Emerging Technologies (pp. 1-3). https://doi.org/10.1145/2818466.2818491
  16. Ujitoko, Y., & Hirota, K. (2015, March). Impact of illusory resistance on finger walking behavior. In 2015 IEEE Virtual Reality (VR) (pp. 301-302). IEEE. https://doi.org/10.1109/VR.2015.7223415
  17. Ujitoko, Y., & Hirota, K. (2015). The scaling of the haptic perception on the fingertip using an interface of anthropomorphic finger motions. Haptic Interaction: Perception, Devices and Applications, 3-5. https://doi.org/10.1007/978-4-431-55690-9_1
  18. Hirota, K., Ujitoko, Y., Kiriyama, K., & Tagawa, K. (2015). Object Manipulation by Deformable Hand. Haptic Interaction: Perception, Devices and Applications, 145-148. https://doi.org/10.1007/978-4-431-55690-9_27
  19. Ujitoko, Y., & Hirota, K. (2014, December). Interpretation of tactile sensation using an anthropomorphic finger motion interface to operate a virtual avatar. In Proceedings of the 24th International Conference on Artificial Reality and Telexistence and the 19th Eurographics Symposium on Virtual Environments (pp. 13-20). https://doi.org/10.2312/ve.20141359
Invited talk
  • Dec 2022 日本バーチャルリアリティ学会ハプティクス研究会 触覚講習会2022、クロスモーダル知覚に基づく擬似触覚提示
  • Dec 2022 ヒューマンインタフェース学会トップカンファレンス・アドバンスト・ワークショップ2022 https://jp.his.gr.jp/events/top-conference-aws/
  • Dec 2021 日本バーチャルリアリティ学会ハプティクス研究会 触覚講習会2021、クロスモーダル知覚に基づく擬似触覚提示
  • Dec 2021 株式会社 豊田中央研究所「触覚技術の応用とその事例」講演会、クロスモーダル知覚に基づく擬似触覚提示
Award
  • 2024 Eurohaptics 2024 Best Paper Award Finalist (Tao Morisaki, Yusuke Ujitoko)
  • 2024 IEEE Haptics Symposium 2024 Outstanding Reviewer Award
  • 2021 IEEE World Haptics 2021 Best Video Presentation Award Honorable Mention
  • 2021 電気通信大学学生表彰（研究部門）
  • 2020 IEEE Haptics Symposium 2020 Best Paper Award Second Honorable Mention (Yusuke Ujitoko, Sho Sakurai, Koichi Hirota: Vibrator Transparency: Re-using Vibrotactile Signal Assets for Different Black Box Vibrators without Re-designing, IEEE HAPTICS 2020, pp.882-889, March, 2020)
  • 2018 日本VR学会論文賞（宇治土公雄介, 鳴海拓志, 伴祐樹, 谷川智洋, 広田光一, 廣瀬通孝:背景移動量操作を利用した視触覚間相互作用生起によるタッチパネルでの擬似触力覚提示, 日本バーチャルリアリティ学会論文誌, Vol.22, No.3, pp.305-313, 2017年9月.）
  • 2016 東京大学大学院学際情報学府学際情報学専攻 専攻長賞
Registered Patent
  • Yusuke Ujitoko, Yuki Horita, Fumio Narisawa, "Computation device, log record method, and log record system", Registered No:JP.6703960.B2, Registration date: 2020/06/03
  • Yusuke Ujitoko, Yuki Horita, "Arithmetic unit and arithmetic method", Registered No:JP.7149189.B2, Registration date: 2022/10/06
News release
May 2022 日本電信電話株式会社、新型コロナウイルス感染拡大時に、何かに触りたいという欲求に変化が生じたことを発見 ～ソーシャルメディア上のテキストデータの解析により見えてきた触りたさの変化～ https://group.ntt/jp/newsrelease/2022/05/27/220527a.html
Aug 2017 株式会社日立製作所、日立オートモティブシステムズ株式会社、自動運転用アプリケーションを開発する過程で発生する不具合を短時間に再現する技術を開発 https://www.hitachi.co.jp/rd/news/press/2017/0830.html
Media
Nov 2023 メタバース総研(web)、「NTTコミュニケーション科学基礎研究所:身体周辺の2次元空間における振動源に対する触覚による定位を研究」https://metaversesouken.com/metaverse/university/#NTT2
Sep 2023 NTT技術ジャーナル(web)、明日のトップランナー: 本当に「触りたい」触覚コンテンツの新たな地平へ「触りたさの科学的理解とクロスモーダル知覚に基づく触覚提示法の提案」https://journal.ntt.co.jp/article/23102
Feb 2023 日経産業新聞(web)、「夜は猫といっしょ」、猫あるある共感で漫画ヒット 男性も魅了 https://www.nikkei.com:443/article/DGXZQOUC159ST0V10C23A2000000/
Feb 2023 日経産業新聞(5面)、猫に触れたいピークは昼 NTT系、「触りたい」欲求分析
Jul 2022 ビジネスコミュニケーション誌 「膨大なSNSデータを活用し、人々が日常において感じている「触りたさ」を理解」 https://www.bcm.co.jp/specials/2022/07/cs-3/
Jun 2022 BUILT(web)、NTTと東大の研究、コロナ禍以降「肌のぬくもりに触れたい欲求」高まる:調査レポート https://built.itmedia.co.jp:443/bt/articles/2206/17/news052.html
Jun 2022 ASCIIxTech、コロナで「触りたい欲」はどう変化？ ハイブリッドワークで幸福感アップ、急成長するCIAM市場、ほか https://ascii.jp:443/elem/000/004/093/4093703/
Jun 2022 日経産業新聞（5面）、コロナ禍で「生物とふれ合う」欲求増加
May 2022 日経新聞(web)、コロナ禍で生物のふれ合い求める NTTがツイッター分析 https://www.nikkei.com:443/article/DGXZQOUC306TI0Q2A530C2000000/
May 2022 ITmedia NEWS(web)、「人・動物に触りたい欲求」コロナ禍でアップ Twitter解析で判明 NTTと東大 https://www.itmedia.co.jp:443/news/articles/2205/31/news142.html
May 2022 マイナビニュース_TECH+（テックプラス）(web)、COVID-19で生物のぬくもりに触れたいという欲求が高まる-東大×NTTが発見 https://news.mynavi.jp:443/techplus/article/20220527-2353092/
May 2022 財経新聞(web)、コロナ以降「肌のぬくもり」への飢え慢性化 NTTと東大の研究 https://www.zaikei.co.jp:443/article/20220530/674203.html
May 2022 電経新聞（1面）、新型コロナで日本人の欲求に変化 NTTが発見
Jan 2019 Seamless、東大と日立の研究者、素材に触れた時の触振動を画像からそれっぽく生成し、効率的な触感デザインを可能とする手法「TactGAN」を発表 https://shiropen.com:443/seamless/tactgan
Dec 2018 MograVR 画像から触覚再現、エラ呼吸体験システムなど独創的な展示が光るSIGGRAPH Asia 2018 体験ブースレポ（触覚編） https://www.moguravr.com:443/siggraph-asia-2018-2/
Sep 2017 ニュースイッチ、日立、自動運転の不具合再現を6割短縮｜ニュースイッチ by 日刊工業新聞社 https://newswitch.jp:443/p/10273
Sep 2017 bp-A ニュース、急増するセンサ情報による自動運転アプリ開発を効率化 https://bp-affairs.com/news/2017/09/20170901-966.html.preview.html
Sep 2017 日経クロステック（xTECH）日立、自動運転用アプリケーション開発中の不具合を短時間に再現 https://xtech.nikkei.com/dm/atcl/news/16/083108984/ https://www.nikkei.com/article/DGXMZO20585750R30C17A8000000/
Aug 2017 マイナビニュース TECH（テックプラス）、日立など、自動運転用アプリケーションでの不具合の原因究明を効率化 https://news.mynavi.jp:443/techplus/article/20170830-a200/
Academic service
Sep 2024 Program Committee, ICAT-EGVE 2024
Aug 2024 Associate Editor, AsiaHaptics 2024
Jan 2024 - 触覚部会 幹事
Dec 2023 日本VR学会論文誌 第28巻第4号「社会とハプティクス」特集 ゲストエディタ https://www.jstage.jst.go.jp/browse/tvrsj/28/4/_contents/-char/ja
Mar 2022 - 日本VR学会ハプティクス研究委員会 委員
Feb 2021 - Dec 2023 触覚部会 委員
Jan 2020 - Mar 2024 触覚若手の会 幹事
Budget
Apr 2024 - Mar 2026 日本学術振興会 科学研究費助成事業 若手研究 触感類似物を活用した代替触覚提示システムの構築 (代表者)
Apr 2021 - Mar 2024 日本学術振興会 科学研究費助成事業 基盤研究(B) Pseudo-haptics実用化に向けた効果の不安定要因解明と安定化制御法開発 (分担者)