# Yamato Miyatake > Yamato Miyatake is an HCI researcher at Saitama University designing eating experiences through human-food interaction and digital fabrication. Using 3D food printing, his work covers information embedded inside food (interiqr, EateryTag), spatial taste design (TastePrint), and computational food texture design (ChewTect). Published at ACM UIST, DIS, SIGGRAPH Asia, IEEE VR and TVCG. ## Researcher - Name: Yamato Miyatake (also written: 宮武 大和, 宮武大和, Miyatake Yamato) - Role: Ph.D. Student - Affiliation: Saitama University - Homepage: https://www.miyatakeyama.to/ - ORCID: https://orcid.org/0000-0003-1241-0114 - Profile: https://www.linkedin.com/in/yamato-miyatake/ - Profile: https://x.com/miyatakeyama - Profile: https://scholar.google.com/citations?user=_fvSDcAAAAAJ - Profile: https://orcid.org/0000-0003-1241-0114 - Profile: https://researchmap.jp/yamato-miyatake ## Research topics - Human-Computer Interaction - ヒューマンコンピュータインタラクション - Human-Food Interaction - food experience design - 食体験デザイン - 3D food printing - food printing - フードプリント - フードプリンティング - 食品3Dプリンタ - digital food fabrication - edible tags - food texture design - 食感デザイン - digital fabrication - デジタルファブリケーション - computational design - haptics - augmented reality ## Biography Yamato Miyatake is currently pursuing a Ph.D. at Saitama University under the supervision of Parinya Punpongsanon, focusing on the intersection of human-food interaction, digital fabrication, and Human-centered AI. His goal is to pioneer innovations in digital culinary experiences. Before this, he worked on driver assistance system at Bosch , where he honed his skills in sensor-based environment recognition. In 2022, he earned a Master of Engineering degree from Osaka University, specializing in Computer Vision, Robotics, Machine Learning, Signal Processing, and Human-Computer Interaction. Additionally, his research at SENS laboratory has explored haptic presentation in Augmented Reality (AR) and embedding information using 3D food printing. These works have been presented at premier conferences, including IEEE VR and UIST. ## Projects ### ChewTect — Designing Temporal Food Texture via Computational Molding URL: https://www.miyatakeyama.to/project/chewtect/ Presented at: ACM UIST'25 (Poster), ACM DIS'26 (Full paper - Best Paper Honorable Mention) ChewTect explores temporal food texture design through computational molding. ### TastePrint — A 3D Food Printing System for Layer-wise Taste Distribution via Airbrushed Liquid Seasoning URL: https://www.miyatakeyama.to/project/tasteprint/ Presented at: Applied Food Research (2026) TastePrint is a 3D food printing system that airbrushes liquid seasoning between printed layers, so that taste can be distributed layer by layer within a single piece of food. ### HaptoMapping — Visuo-Haptic Augmented Reality by Embedding User-Imperceptible Tactile Display Control Signals in a Projected Image URL: https://www.miyatakeyama.to/project/haptomapping/ Presented at: IEEE TVCG'23, IEEE VR'22 (Full paper), SIGGRAPH Asia'20 (Demo), EuroHaptics'20 (Full paper) HaptoMapping is a projection-based visuo-haptic augmented reality (VHAR) system, that can render visual and haptic content independently and present consistent visuo-haptic sensations on physical surfaces. ### interiqr — Unobtrusive Edible Tags using Food 3D Printing URL: https://www.miyatakeyama.to/project/interiqr/ Presented at: ACM UIST'22 (Full paper and Demo), We present interiqr, a method that utilizes the infill parameter in the 3D printing process to embed information inside the food that is difficult to recognize with the human eye. Our key idea is to utilize the air space or secondary materials to generate a specific pattern inside the food without changing the model geometry. As a result, our method exploits the patterns that appear as hidden edible tags to store the data and simultaneously adds them to a 3D printing pipeline. Our contribution also includes the framework that connects the user with a data-embedding interface through the food 3D printing process, and the decoding system allows the user to decode the information inside the 3D printed food through backlight illumination and a simple image processing technique. Finally, we evaluate the usability of our method under different settings and demonstrate our method through the example application scenarios. ## Publications - Yamato Miyatake, Aoi Yamada, Huaishu Peng, Parinya Punpongsanon. "ChewTect: Designing Temporal Food Texture via Computational Molding". Designing Interactive Systems Conference (DIS '26). 2026. URL: https://www.miyatakeyama.to/publication/conference/2026/dis/ DOI: https://doi.org/10.1145/3800645.3812893 PDF: https://doi.org/10.1145/3800645.3812893 - Yamato Miyatake, Parinya Punpongsanon. "TastePrint: A 3D Food Printing System for Layer-wise Taste Distribution via Airbrushed Liquid Seasoning". Applied Food Research. 2026. URL: https://www.miyatakeyama.to/publication/journal/2026/afr/ DOI: https://doi.org/10.1016/j.afres.2026.102242 PDF: https://arxiv.org/pdf/2603.22887 - 大澤璃乙, 山田蒼, 岡部兼也, 宮武大和, プンポンサノン・パリンヤ. "代替食品における食感と構造改変との関連性に関する研究". 電子情報通信学会　総合大会. 2026. URL: https://www.miyatakeyama.to/publication/conference/2026/eic_osawa/ - 山田蒼, 宮武大和, 雨坂宇宙, 岩井大輔, プンポンサノン・パリンヤ. "内部構造を制御した食品の咀嚼音特性に基づく食事摂取量推定". 電子情報通信学会　総合大会. 2026. URL: https://www.miyatakeyama.to/publication/conference/2026/eic_yamada/ - 岡部兼也, 宮武大和, プンポンサノン・パリンヤ. "機能推定による自動パラメータ生成を用いた3Dモデル編集の検討". 電子情報通信学会　総合大会. 2026. URL: https://www.miyatakeyama.to/publication/conference/2026/eic_okabe/ - 見澤宏紀, 岡部兼也, 山田蒼, 宮武大和, プンポンサノン・パリンヤ. "着色要因による食欲変化と味覚への影響 ―クッキー事例として―". 電子情報通信学会　総合大会. 2026. URL: https://www.miyatakeyama.to/publication/conference/2026/eic_misawa/ - Yamato Miyatake, Parinya Punpongsanon. "EateryTag: Investigating Unobtrusive Edible Tags using Digital Food Fabrication". Frontiers in Nutrition. 2025. URL: https://www.miyatakeyama.to/publication/journal/2025/frontier_nutrition/ DOI: https://doi.org/10.3389/fnut.2025.1641849 PDF: https://public-pages-files-2025.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2025.1641849/pdf - Yamato Miyatake, Parinya Punpongsanon. "An Exploratory Study on Edible Conductive Materials Using Water and Oil-based Gels for Human-Food Interaction". The ACM Symposium on User Interface Software and Technology (UIST) 2025 Posters. 2025. URL: https://www.miyatakeyama.to/publication/conference/2025/uist_chewtect/ DOI: https://doi.org/10.1145/3746058.3758407 - Yamato Miyatake, Huaishu Peng, Parinya Punpongsanon. "Towards Personalized Food Texture through Internal Structure with 3D Printed Silicone Molds". The ACM Symposium on User Interface Software and Technology (UIST) 2025 Posters. 2025. URL: https://www.miyatakeyama.to/publication/conference/2025/uist_oleogel/ DOI: https://doi.org/10.1145/3746058.3758423 - 神尾幸希, 宮武大和, プンポンサノン・パリンヤ. "食品の電気抵抗情報を用いた可食センサーに関する研究". 情報処理学会 第87回全国大会講演論文集. 2025. URL: https://www.miyatakeyama.to/publication/conference/2025/ipsj/ - Yamato Miyatake, Parinya Punpongsanon. "An Exploratory Study on Fabricating of Unobtrusive Edible Tags". In ACM SIGGRAPH Asia 2024 Posters. 2024. URL: https://www.miyatakeyama.to/publication/conference/2024/siggraphasia/ - Yamato Miyatake, Takefumi Hiraki, Daisuke Iwai, Kosuke Sato. "HaptoMapping: Visuo-Haptic Augmented Reality by Embedding User-Imperceptible Tactile Display Control Signals in a Projected Image". IEEE Transactions of Visualization and Computer Graphics (TVCG). 2023. URL: https://www.miyatakeyama.to/publication/journal/2023/tvcg/ DOI: https://doi.org/10.1109/TVCG.2021.3136214 PDF: https://ieeexplore.ieee.org/document/9665216 Abstract: This paper proposes HaptoMapping, a projection-based visuo-haptic augmented reality (VHAR) system, that can render visual and haptic content independently and present consistent visuo-haptic sensations on physical surfaces. HaptoMapping controls wearable haptic displays by embedded control signals that are imperceptible to the user in projected images using a pixel-level visible light communication technique. The prototype system is comprised of a high-speed projector and three types of haptic devices—finger worn, stylus, and arm mounted. The finger-worn and stylus devices present vibrotactile sensations to a user’s fingertips. The arm-mounted device presents stroking sensations on a user’s forearm using arrayed actuators with a synchronized hand projection mapping. We identified that the developed system’s maximum latency of haptic from visual sensations was 93.4 ms. We conducted user studies on the latency perception of our VHAR system. The results revealed that the developed haptic devices can present haptic sensations without user-perceivable latencies, and the visual-haptic latency tolerance of our VHAR system was 100, 159, 500 ms for the finger-worn, stylus, and arm-mounted devices, respectively. Another user study with the arm-mounted device discovered that the visuo-haptic stroking system maintained both continuity and pleasantness when the spacing between each substrate was relatively sparse, such as 20 mm, and significantly improved both the continuity and pleasantness at 80 and 150 mm/s when compared to the haptic only stroking system. Lastly, we introduced four potential applications in daily scenes. Our system methodology allows for a wide range of VHAR application design without concern for latency and misalignment effects. - Parinya Punpongsanon, Yamato Miyatake, Daisuke Iwai, Kosuke Sato. "Food DX Through Unobtrusive Edible Tags using Food 3D Printing". Journal of the Imaging Society of Japan. 2023. URL: https://www.miyatakeyama.to/publication/press/jisj/ - Yamato Miyatake, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato. "Demonstration of interiqr: Unobtrusive Edible Tags using Food 3D Printing". The ACM Symposium on User Interface Software and Technology (UIST). 2022. URL: https://www.miyatakeyama.to/publication/conference/2022/uist_demo/ DOI: https://doi.org/10.1145/3526114.3558630 PDF: https://www.dropbox.com/s/0v4rypppd5t4pc8/UIST_2022_Interiqr_Miyatake.pdf?dl=0 - Yamato Miyatake, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato. "interiqr: Unobtrusive Edible Tags using Food 3D Printing". The ACM Symposium on User Interface Software and Technology (UIST). 2022. URL: https://www.miyatakeyama.to/publication/conference/2022/uist/ DOI: https://doi.org/10.1145/3526113.3545669 PDF: https://www.dropbox.com/s/0v4rypppd5t4pc8/UIST_2022_Interiqr_Miyatake.pdf?dl=0 - 松田綾美, 宮武大和, プンポンサノン・パリンヤ, 岩井大輔, 佐藤宏介. "センサ内蔵スマートテーブルウェアの構築とロボットアームによるフィードバックの検討". 第66回システム制御情報学会研究発表講演会講演論文集（SCI'22）. 2022. URL: https://www.miyatakeyama.to/publication/conference/2022/sci/ - Ben Coxworth. "interiqr tech prints edible, informational QR codes right into foods". New Atlas. 2022. URL: https://www.miyatakeyama.to/publication/journal/2023/jisj/ - 宮武大和, プンポンサノン・パリンヤ, 岩井大輔, 佐藤宏介. "3Dプリント食品内部への情報埋め込み". 情報処理学会 第84回全国大会講演論文集. 2022. URL: https://www.miyatakeyama.to/publication/conference/2022/ipsj/ PDF: /files/IPSJT_2022_miyatake.pdf - Yamato Miyatake, Takefumi Hiraki, Tomosuke Maeda, Daisuke Iwai, Kosuke Sato. "HaptoMapping: Visuo-Haptic AR System using Projection-based Control of Wearable Haptic Devices". In ACM SIGGRAPH Asia 2020 Emerging Technologies. 2020. URL: https://www.miyatakeyama.to/publication/conference/2020/siggraphasia/ DOI: https://doi.org/10.1145/3415255.3422891 PDF: https://www.miyatakeyama.to/publication/conference/2020/SIGGRAPHAsia/SIGGRAPHAsia2020_HaptoMapping.pdf Abstract: Visuo-haptic augmented reality (AR) systems that present visual and haptic sensations in a spatially and temporally consistent manner have the potential to improve AR applications’ performance. However, there are issues such as enclosing the user’s view with a display, restricting the workspace to a limited amount of flat space, or changing the visual information presented in conventional systems. In this paper, we propose “HaptoMapping,” a novel projection-based AR system, that can present consistent visuo-haptic sensations on a non-planar physical surface without installing any visual displays to users and by keeping the quality of visual information. We implemented a prototype of HaptoMapping consisting of a projection system and a wearable haptic device. Also, we introduce three application scenarios in daily scenes. - Yamato Miyatake, Takefumi Hiraki, Tomosuke Maeda, Daisuke Iwai, Kosuke Sato. "Visuo-Haptic Display by Embedding Imperceptible Spatial Haptic Information into Projected Images". Haptics: Science, Technology, Applications (Proceedings of the 12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications – EuroHaptics 2020). 2020. URL: https://www.miyatakeyama.to/publication/conference/2020/eurohaptics/ DOI: https://doi.org/10.1007/978-3-030-58147-3_25 PDF: https://link.springer.com/content/pdf/10.1007/978-3-030-58147-3_25.pdf Abstract: We propose a novel projection-based AR system that can present consistent visuo-haptic sensations on a non-planar physical surface without inserting any visual display devices between a user and the surface. The core technical contribution is controlling wearable haptic displays using a pixel-level visible light communication projector. The projection system can embed spatial haptic information into each pixel, and the haptic displays vibrate according to the detected pixel information. We confirm that the proposed system can display visuo-haptic information with pixel-precise alignment with a delay of 85 ms. We can also employ the proposed system as a novel experimental platform to clarify the spatio-temporal perceptual characteristics of visual and haptic sensations. As a result of the conducted user studies, we revealed that the noticeable thresholds of visual-haptic asynchrony were about 100 ms (temporal) and 10 mm (spatial), respectively. - 宮武大和, 平木剛史, 前田智祐, 岩井大輔, 佐藤宏介. "HaptoMapping: 映像への不可視な情報埋め込みによる視触覚重畳提示". 情報処理学会 インタラクション2020論文集. 2020. URL: https://www.miyatakeyama.to/publication/conference/2020/interaction/ Abstract: 本研究では，映像に対する触覚提示の位置ずれ・時間遅れを知覚不可能なレベルに低減する視触覚重畳システムを開発し，視覚情報に対応した触覚刺激の提示を再現する手法を提案する．本手法では，空間分割型可視光通信を用いて映像に不可視の触覚刺激情報を埋め込み，この情報を用いて触覚提示デバイスを制御することで，位置ずれと時間遅れの低減，視覚情報に対応した触覚刺激の提示を実現する．この手法を用いて，振動子の異なる2種類の触覚提示デバイスと，このデバイスを用いた視触覚重畳システムを開発した．そしてデバイスの映像に対する触覚刺激提示の遅延時間を測定し，実装した視触覚重畳システムを用いて人間の視覚と触覚の遅延知覚に関する主観評価実験を行った．その結果，開発したデバイスは遅延時間を人間には知覚不可能なレベルまで低減できており，本システムにおける人間の遅延知覚の刺激閾は約100 msであることを明らかにした. ## Contact Email: yamato.miyatake@fip.ics.saitama-u.ac.jp