Parinya Punpongsanon, Ph.D. /pa rin ya/
I am an Associate Professor at theContact Information Graduate School of Science and Engineering, Building for Research and Project, 8F, 805-2 (255 SHIMO-OKUBO, Sakura-ku, Saitama 338-8570, Japan). email parinya[at]mail.saitama-u.ac.jp
xR: locomotion interface, pseudo-haptics
Human Perception: visual illusion, enhancing recognition abilities
Digital Fabrication: personal fabrication, human-food interaction
Research Projects
Reconfigurable Soft Pneumatic Actuators Using Multi-Material Self-Healing Polymers
IEEE Robotics and Automation Letters, (Presented at IROS 2025)
Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon, Sei Ikeda, Osamu Oshiro.
Abstract: Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic applications. Robots need to identify which objects, along with their positions and shapes, to manipulate them precisely with given tasks. Mobile robots, especially, usually use lightweight networks to segment objects on RGB images and then localize them via depth maps; however, they often encounter out-of-distribution scenarios where masks over-cover the objects. In this paper, we address the problem of panoptic segmentation quality in 3D scene reconstruction by refining segmentation errors using non-parametric statistical methods. To enhance mask precision, we map the predicted masks into a depth frame to estimate their distribution via kernel densities. The outliers in depth perception are then rejected without the need for additional parameters in an adaptive manner to out-of-distribution scenarios, followed by 3D reconstruction using projective signed distance functions (SDFs). We validate our method on a synthetic dataset, which shows improvements in both quantitative and qualitative results for panoptic mapping. Through real-world testing, the results furthermore show our method's capability to be deployed on a real-robot system. ... See More
IEEE Robotics and Automation Letters, (Presented at IROS 2025)
Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon, Sei Ikeda, Osamu Oshiro.
Abstract: Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic applications. Robots need to identify which objects, along with their positions and shapes, to manipulate them precisely with given tasks. Mobile robots, especially, usually use lightweight networks to segment objects on RGB images and then localize them via depth maps; however, they often encounter out-of-distribution scenarios where masks over-cover the objects. In this paper, we address the problem of panoptic segmentation quality in 3D scene reconstruction by refining segmentation errors using non-parametric statistical methods. To enhance mask precision, we map the predicted masks into a depth frame to estimate their distribution via kernel densities. The outliers in depth perception are then rejected without the need for additional parameters in an adaptive manner to out-of-distribution scenarios, followed by 3D reconstruction using projective signed distance functions (SDFs). We validate our method on a synthetic dataset, which shows improvements in both quantitative and qualitative results for panoptic mapping. Through real-world testing, the results furthermore show our method's capability to be deployed on a real-robot system. ... See More
Unobtrusive Edible Tags using Food 3D Printing
Frontiers in Nutrition, and ACM UIST 2022
Yamato Miyatake, Parinya Punpongsanon.
Abstract: Human-Food Interaction (HFI) examines how digital integration can enhance dining experiences, with food tagging playing a crucial role in connecting physical dining environments with digital information. Attaching optical tags to the surface or sides of food often detracts from its aesthetics, negatively impacting the perceived taste and overall dining experience. To address this issue, we propose an unobtrusive food tagging approach that embeds tags inside the food, maintaining both its visual appeal and sensory qualities. We first developed a tagging method using a 3D printer and proposed an end-to-end pipeline for embedding and retrieving the tags. We evaluated this method in terms of tag detectability, concealability, and the eating experience. Additionally, we developed tagging methods using molding and stamping to extend acceptability to the traditional cooking environment. Through a workshop with three home chefs, we found that these methods are accessible and easy to adopt for novice users. Our findings demonstrate the potential of embedded food tagging to integrate digital information into the dining experience without compromising culinary integrity. This approach offers new directions for HFI research and practical applications. ... See More
Frontiers in Nutrition, and ACM UIST 2022
Yamato Miyatake, Parinya Punpongsanon.
Abstract: Human-Food Interaction (HFI) examines how digital integration can enhance dining experiences, with food tagging playing a crucial role in connecting physical dining environments with digital information. Attaching optical tags to the surface or sides of food often detracts from its aesthetics, negatively impacting the perceived taste and overall dining experience. To address this issue, we propose an unobtrusive food tagging approach that embeds tags inside the food, maintaining both its visual appeal and sensory qualities. We first developed a tagging method using a 3D printer and proposed an end-to-end pipeline for embedding and retrieving the tags. We evaluated this method in terms of tag detectability, concealability, and the eating experience. Additionally, we developed tagging methods using molding and stamping to extend acceptability to the traditional cooking environment. Through a workshop with three home chefs, we found that these methods are accessible and easy to adopt for novice users. Our findings demonstrate the potential of embedded food tagging to integrate digital information into the dining experience without compromising culinary integrity. This approach offers new directions for HFI research and practical applications. ... See More
AI-generated characters for supporting personalized learning and well-being
Nature Machine Intelligence
Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes, Misha Sra.
Abstract: Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is referred to as artificial intelligence (AI)-generated media. These techniques offer novel opportunities for creating interactions with digital portrayals of individuals that can inspire and intrigue us. AI-generated portrayals of characters can feature synthesized faces, bodies and voices of anyone, from a fictional character to a historical figure, or even a deceased family member. Although negative use cases of this technology have dominated the conversation so far, in this Perspective we highlight emerging positive use cases of AI-generated characters, specifically in supporting learning and well-being. We demonstrate an easy-to-use AI character generation pipeline to enable such outcomes and discuss ethical implications as well as the need for including traceability to help maintain trust in the generated media. As we look towards the future, we foresee generative media as a crucial part of the ever growing landscape of human–AI interaction. ... See More
Nature Machine Intelligence
Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes, Misha Sra.
Abstract: Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is referred to as artificial intelligence (AI)-generated media. These techniques offer novel opportunities for creating interactions with digital portrayals of individuals that can inspire and intrigue us. AI-generated portrayals of characters can feature synthesized faces, bodies and voices of anyone, from a fictional character to a historical figure, or even a deceased family member. Although negative use cases of this technology have dominated the conversation so far, in this Perspective we highlight emerging positive use cases of AI-generated characters, specifically in supporting learning and well-being. We demonstrate an easy-to-use AI character generation pipeline to enable such outcomes and discuss ethical implications as well as the need for including traceability to help maintain trust in the generated media. As we look towards the future, we foresee generative media as a crucial part of the ever growing landscape of human–AI interaction. ... See More
Enhancing Asynchronous Shared-Space Demonstrations with Spatial-temporal Assistive Toolsets for Effective Learning in Immersive Virtual Laboratories
ACM CSCW 2022 (Published at ACM PHCI 2022)
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, Ting-Chuen Pong.
Abstract: An immersive virtual laboratory (VL) could offer flexibility of time and space, as well as safety, for remote students to conduct laboratory activities through online experiential learning. Recording an instructor's demonstration inside a VL is an approach that allows students to learn directly from a demonstration. However, students have to learn from a recording while controlling the playback, which requires attention spent on additional spatial and temporal cues. This additional cognitive load could lead to errors during the laboratory procedure. To address these challenges, we have identified four design requirements to reduce attention load in VLs; namely, organized learning steps, improved student sense of co-presence, reduction of task-instructor split-attention, and learning independent of interpersonal distance. Based on these requirements, we have designed and implemented spatial-temporal assistive toolsets for laboratories in a virtual environment, namely XR-LIVE, to reduce cognitive load and enhance learning in an asynchronous shared-space demonstration, implemented based on the setup of a standard civil engineering laboratory. We also analyzed students' behavior in the VL demonstration to design guidelines applicable to generic VLs. ... See More
ACM CSCW 2022 (Published at ACM PHCI 2022)
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, Ting-Chuen Pong.
Abstract: An immersive virtual laboratory (VL) could offer flexibility of time and space, as well as safety, for remote students to conduct laboratory activities through online experiential learning. Recording an instructor's demonstration inside a VL is an approach that allows students to learn directly from a demonstration. However, students have to learn from a recording while controlling the playback, which requires attention spent on additional spatial and temporal cues. This additional cognitive load could lead to errors during the laboratory procedure. To address these challenges, we have identified four design requirements to reduce attention load in VLs; namely, organized learning steps, improved student sense of co-presence, reduction of task-instructor split-attention, and learning independent of interpersonal distance. Based on these requirements, we have designed and implemented spatial-temporal assistive toolsets for laboratories in a virtual environment, namely XR-LIVE, to reduce cognitive load and enhance learning in an asynchronous shared-space demonstration, implemented based on the setup of a standard civil engineering laboratory. We also analyzed students' behavior in the VL demonstration to design guidelines applicable to generic VLs. ... See More
SoftPrint: Investigating Haptic Softness Perception of 3D Printed Soft Object in FDM 3D Printers
Journal of Imaging Science and Technology
Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Abstract: FDM 3D printers allow massive creativity in personal products, but their potential has been limited due to inability to manipulating material properties. Previous work had demonstrated that the desired roughness could be presented simply by controlling the spatial density of tiny pins on a printed surface. This article offers a means of providing the desired softness perception of a printed surface and the desired roughness to expand the haptic dimension over which a user can exert control. Specifically, we control the softness by manipulating the infill structures of a printed surface. However, it is known that a skin contact area affects softness perception. The roughness, which is controlled by pins’ density, may also affect the perceived softness of a printed surface. Therefore, we investigate how the internal structures and the density of the pins affect softness perception. Through psychophysical experiments, we derive a computational model that estimates the perceived softness from the density of the pins and the infill density of a printed surface. ... See More
Journal of Imaging Science and Technology
Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Abstract: FDM 3D printers allow massive creativity in personal products, but their potential has been limited due to inability to manipulating material properties. Previous work had demonstrated that the desired roughness could be presented simply by controlling the spatial density of tiny pins on a printed surface. This article offers a means of providing the desired softness perception of a printed surface and the desired roughness to expand the haptic dimension over which a user can exert control. Specifically, we control the softness by manipulating the infill structures of a printed surface. However, it is known that a skin contact area affects softness perception. The roughness, which is controlled by pins’ density, may also affect the perceived softness of a printed surface. Therefore, we investigate how the internal structures and the density of the pins affect softness perception. Through psychophysical experiments, we derive a computational model that estimates the perceived softness from the density of the pins and the infill density of a printed surface. ... See More
Wearable Sanitizer: Design and Implementation of an Open-source, On-body Sanitizer for a Post-Pandemic
ACM SIGGRAPH Asia 2020 (Emerging Technologies)
Pat Pataranutaporn, Ali Shtarbanov, Glenn Fernandes, Jingwen Li, Parinya Punpongsanon, Joe Paradiso, Pattie Maes.
Abstract: Regular disinfection of hands and frequently touched surfaces is a critical factor in preventing the spread of infectious diseases and disorders ranging from the common cold and flu to SARS and COVID-19. This activity of frequent disinfection requires a high degree of discipline and leads to increased cognitive and physical effort involved in frequent washing of hands, or the use of a pocket sanitizer. We present an open-source, wearable sanitizer that provides just-in-time, automatic dispensing of alcohol to the wearer’s hand or nearby objects using sensors and programmable cues. We systematically explore the design space for wearable sanitizers aiming to create a device that not only seamlessly integrates with the user’s body and behavior but also frees their physical and mental faculties for other tasks. With these insights, we demonstrate our prototype and present the design process, device characterization, and our efforts for open-sourcing this project. ... See More
ACM SIGGRAPH Asia 2020 (Emerging Technologies)
Pat Pataranutaporn, Ali Shtarbanov, Glenn Fernandes, Jingwen Li, Parinya Punpongsanon, Joe Paradiso, Pattie Maes.
Abstract: Regular disinfection of hands and frequently touched surfaces is a critical factor in preventing the spread of infectious diseases and disorders ranging from the common cold and flu to SARS and COVID-19. This activity of frequent disinfection requires a high degree of discipline and leads to increased cognitive and physical effort involved in frequent washing of hands, or the use of a pocket sanitizer. We present an open-source, wearable sanitizer that provides just-in-time, automatic dispensing of alcohol to the wearer’s hand or nearby objects using sensors and programmable cues. We systematically explore the design space for wearable sanitizers aiming to create a device that not only seamlessly integrates with the user’s body and behavior but also frees their physical and mental faculties for other tasks. With these insights, we demonstrate our prototype and present the design process, device characterization, and our efforts for open-sourcing this project. ... See More
Programmable Filament: Printed Filaments for Multi-material 3D Printing
ACM UIST 2020
Haruki Takahashi, Parinya Punpongsanon, Jeeeun Kim.
Abstract: From full-color objects to functional capacitive artifacts, 3D printing multi-materials became essential to broaden the application areas of digital fabrication. We present Programmable Filament, a novel technique that enables multi-material printing using a commodity FDM 3D printer, requiring no hardware upgrades. Our technique builds upon an existing printing technique in which multiple filament segments are printed and spliced into a single threaded filament. We propose an end-to-end pipeline for 3D printing an object in multi-materials, with an introduction of the design systems for end-users. Optimized for low-cost, single-nozzle FDM 3D printers, the system is built upon our computational analysis and experiments to enhance its validity over various printers and materials to design and produce a programmable filament. Finally, we discuss application examples and speculate the future with its potential, such as custom filament manufacturing on-demand. ... See More
ACM UIST 2020
Haruki Takahashi, Parinya Punpongsanon, Jeeeun Kim.
Abstract: From full-color objects to functional capacitive artifacts, 3D printing multi-materials became essential to broaden the application areas of digital fabrication. We present Programmable Filament, a novel technique that enables multi-material printing using a commodity FDM 3D printer, requiring no hardware upgrades. Our technique builds upon an existing printing technique in which multiple filament segments are printed and spliced into a single threaded filament. We propose an end-to-end pipeline for 3D printing an object in multi-materials, with an introduction of the design systems for end-users. Optimized for low-cost, single-nozzle FDM 3D printers, the system is built upon our computational analysis and experiments to enhance its validity over various printers and materials to design and produce a programmable filament. Finally, we discuss application examples and speculate the future with its potential, such as custom filament manufacturing on-demand. ... See More
FoodFab: Creating Food Perception Illusions using Food 3D Printing
ACM CHI 2020
Ying-Ju Lin, Parinya Punpongsanon, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller.
Abstract: Food 3D printing enables the creation of customized food structures based on a person's individual needs. In this paper, we explore the use of food 3D printing to create perceptual illusions for controlling the level of perceived satiety given a defined amount of calories. We present FoodFab, a system that allows users to control their food intake through modifying a food's internal structure via two 3D printing parameters: infill pattern and infill density. In two experiments with a total of 30 participants, we studied the effect of these parameters on users' chewing time that is known to affect people's feeling of satiety. Our results show that we can indeed modify the chewing time by varying infill pattern and density, and thus control perceived satiety. Based on the results, we propose two computational models and integrate them into a user interface that simplifies the creation of personalized food structures. ... See More
ACM CHI 2020
Ying-Ju Lin, Parinya Punpongsanon, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller.
Abstract: Food 3D printing enables the creation of customized food structures based on a person's individual needs. In this paper, we explore the use of food 3D printing to create perceptual illusions for controlling the level of perceived satiety given a defined amount of calories. We present FoodFab, a system that allows users to control their food intake through modifying a food's internal structure via two 3D printing parameters: infill pattern and infill density. In two experiments with a total of 30 participants, we studied the effect of these parameters on users' chewing time that is known to affect people's feeling of satiety. Our results show that we can indeed modify the chewing time by varying infill pattern and density, and thus control perceived satiety. Based on the results, we propose two computational models and integrate them into a user interface that simplifies the creation of personalized food structures. ... See More
Publications
Books
植田充美.
AIとバイオの融合最前線 (Prospective AI-fused Biotechnology),
シーエムシー出版.
ISBN 978-4-7813-1867-7,
2025年5月28日.
Journals and Articles
Yamato Miyatake and Parinya Punpongsanon.
Investigating Unobtrusive Edible Tags using Digital Food Fabrication,
Frontiers in Nutrition.
Vol. 12, 1641849,
October 2025.
Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon, Sei Ikeda, Osamu Oshiro.
Reconfigurable Soft Pneumatic Actuators Using Multi-Material Self-Healing Polymers,
IEEE Robotics and Automation Letters.
Vol. 10, Issue 5, pp. 4938-4945,
2025.
Atsushi Maki, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Visually Manipulating Perceived Food Texture in Projection Mapping,
Transactions of the Virtual Reality Society of Japan.
Vol. 29, Issue 2, pp. 81-84,
2024.
Short Article
松田 綾美, プンポンサノン・パリンヤ, 岩井 大輔, 佐藤 宏介.
食品端材への低視認度画像マーカ埋込による料理識別,
システム制御情報学会論文誌.
37巻 12号, pp. 313-315,
2024.
In Japanese
Shengze Zhong, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Topology Optimization with Text-Guided Stylization,
Springer Structural and Multidisciplinary Optimization.
Vol. 66, Article No. 256,
November 2023.
プンポンサノン・パリンヤ.
食品3Dプリンタと人工知能による食体験の向上に関する研究,
日本ロボット学会誌.
41巻 8号, pp. 676-679,
2023年.
Invited Review Article
Shengze Zhong, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Estimation of Fused-Filament-Fabrication Structural Vibro-Acoustic Performance by Modal Impact Sound,
Elsevier Computers & Graphics (Special Issues on Computer-Aided Design and Computer Graphics 2023).
Vol. 115, pp. 137-147,
October 2023.
Parinya Punpongsanon, Yamamoto Miyatake, Daisuke Iwai, Kosuke Sato.
Food DX Through Unobtrusive Edible Tags using Food 3D Printing,
Journal of the Imaging Society of Japan.
Vol. 62, No. 2, pp. 121-127,
April 2023.
Invited Review Article
Kosuke Hiratani, Daisuke Iwai, Yuta Kageyama, Parinya Punpongsanon, Takefumi Hiraki, Kosuke Sato.
Shadowless Projection Mapping using Retrotransmissive Optics,
IEEE Transactions on Visualization and Computer Graphics (Special Issues on IEEE Virtual Reality 2023).
Vol. 29, No. 5, pp. 2280-2290,
May 2023.
Thammathip Piumsomboon, Youngho Lee, Parinya Punpongsanon.
Editorial: Supernatural enhancements of perception, interaction, and collaboration in mixed reality,
Frontiers in Virtual Reality (Section Augmented Reality).
Vol 4, No. 2023,
February 2023.
Shengze Zhong, Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation,
Computer Graphics Forum (Special Issue on Pacific Graphics 2022).
Vol 41, Number 7,
October 2022.
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, and Ting-Chuen Pong.
XR-LIVE: Enhancing Asynchronous Shared-Space Demonstrations with Spatial-temporal Assistive Toolsets for Effective Learning in Immersive Virtual Laboratories,
Proceedings of the ACM on Human-Computer Interaction (In Proceedings of the ACM Conference on Computer-Supported Cooperative Work & Social Computing 2022).
Vol 6, CSCW 1, Article 136,
April 2022.
Piyarat Silapasuphakornwong, Chulapong Panichkriangkrai, Parinya Punpongsanon, Masahiro Suzuki, and Kazutake Uehira.
An exploration of color reproduction for inkjet FDM color 3D printing,
Electronic Imaging (Proceedings of Color Imaging XXVII: Displaying, Processing, Hardcopy, and Applications 2022).
pp. 180:1-180:7,
January 2022.
Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes, and Misha Sra.
AI-generated Characters for Supporting Personalized Learning and Well-being,
Nature Machine Intelligence.
Perspective,
December 2021.
IF (2020): 16.65
Sorashi Kimura, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato.
Multifocal Stereoscopic Projection Mapping,
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE International Symposium on Mixed and Augmented Reality).
Vol. 27, No. 11, pp. 4256-4266,
November 2021.
Acceptance Rate 19.46%
Best Journal Paper Award
Masatoki Sugimoto, Daisuke Iwai, Koki Ishida, Parinya Punpongsanon, and Kosuke Sato.
Directionally Decomposing Structured Light for Projector Calibration,
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE International Symposium on Mixed and Augmented Reality).
Vol. 27, No. 11, pp. 4161-4170,
November 2021.
Acceptance Rate 19.46%
Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
SoftPrint: Investigating Haptic Softness Perception of 3D Printed Soft Object in FDM 3D Printers,
Journal of Imaging Science and Technology (Proceedings of Printing for Fabrication 2021).
Vol. 65, No. 4, pp. 40406:1-40406:8(8),
July 2021.
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
FleXeen: Visually Manipulating Perceived Fabric Bending Stiffness in Spatial Augmented Reality,
IEEE Transactions on Visualization and Computer Graphics.
Vol. 26, No. 2, pp. 1433-1439,
February 2020.
Santawat Thanyadit, Parinya Punpongsanon, and Ting-Chuen Pong.
Efficient Information Sharing Techniques between Workers of Heterogeneous Tasks in 3D CVE,
Proceedings of the ACM on Human-Computer Interaction (Proceedings of the 21th ACM Conference on Computer-Supported Cooperative Work & Social Computing).
Vol. 2, No. CSCW, Article No. 172,
November 2018.
Parinya Punpongsanon, Emilie Guy, Daisuke Iwai, Kosuke Sato, and Tamy Boubekeur.
Extended LazyNav: Virtual 3D Ground Navigation for Large Displays and Head-Mounted Displays,
IEEE Transactions on Visualization and Computer Graphics.
Vol. 23, No. 8, pp. 1952-1963,
August 2017.
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
SoftAR: Visually Manipulating Haptic Softness Perception in Spatial Augmented Reality,
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE International Symposium on Mixed and Augmented Reality 2015).
Vol. 21, No. 11, pp. 1279-1288,
November 2015.
Best Student Research Award
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
Projection-based Visualization of Tangential Deformation of Nonrigid Surface by Deformation Estimation Using Infrared Texture,
Virtual Reality.
Vol. 19(1), pp. 45-56,
March 2015.
Conference Proceedings (Full Papers, Short Papers)
Yamato Miyatake, Aoi Yamada, Huaishu Peng and Parinya Punpongsanon.
ChewTect: Designing Temporal Food Texture via Computational Molding,
In Proceedings of the 2026 ACM Designing Interactive Systems Conference (DIS).
pp. XX-YY,
June 2026.
Acceptance Rate 21%
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.
H-2-01,
2026年3月10日.
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.
H-2-10,
2026年3月10日.
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.
H-2-20,
2026年3月10日.
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.
H-2-21,
2026年3月10日.
Natthaphon Hatsakornkhanachok and Parinya Punpongsanon.
ViWeight: Manipulating Virtual Liquid Weight Perception Using Vibrating Illusion,
In Proceedings of 2025 IEEE 9th Global Conference on Consumer Electronics (GCCE).
pp. 70-72,
September 2025.
Acceptance Rate 40%
Jiaqi Gu and Parinya Punpongsanon.
Exploratory Study of AR Hand Redirection Using Augmented Virtual Hand,
In Proceedings of 2025 IEEE 9th Global Conference on Consumer Electronics (GCCE).
pp. 878-880,
September 2025.
Acceptance Rate 40%
Best Presentation Award
Ryosei Unoki and Parinya Punpongsanon.
SmellFly: Investigating Olfactory Display in VR Using a Small Drone,
In Proceedings of 2025 IEEE 9th Global Conference on Consumer Electronics (GCCE).
pp. 172-173,
September 2025.
Acceptance Rate 40%
彭勃, プンポンサノン パリンヤ.
SubtleMove: 微小動作による最小限インタラクション型ナビゲーションに関する研究,
ヒューマンインタフェースシンポジウム2025.
pp. 896-899,
2025年9月10日.
In Japanese
遠藤碧海, プンポンサノン パリンヤ.
咀嚼情報と色の情動を利用した摂食行動改善のための拡張視覚化システムの開発,
第87回情報処理学会全国大会.
pp. 4:95-4:96,
2025年3月.
In Japanese
学会賞奨励賞
松田綾美, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
調理を考慮した食品への情報埋め込みに関する一考察,
第28回パターン計測シンポジウム(第108回パターン計測部会研究会).
2023年11月.
In Japanese
石塚裕己, 鈴木智大, 佐々木大輔, プンポンサノン パリンヤ.
自己修復性材料片からソフトロボットを構築する Wizard bits の提案,
ロボティクス・メカトロニクス講演会.
2023年6月.
In Japanese
牧篤司, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
食体験変容のための投影型ARによる食品動的質感変調に関する研究,
第67回システム制御情報学会研究発表講演会.
pp. 338-341,
2023年5月.
In Japanese
松元龍馬, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
OST-HMDを用いた幽体ハンド食事支援システム,
第67回システム制御情報学会研究発表講演会.
pp. 328-331,
2023年5月.
In Japanese
Zhong Shengze, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
Structure Design with Text-Guided Stylization,
第67回システム制御情報学会研究発表講演会.
pp. 202-203,
2023年5月.
松田綾美, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
柔らかい食品上への情報埋め込みシステムの開発,
第85回情報処理学会全国大会.
pp. 4:137-4:138,
2023年3月.
In Japanese
Yamamoto Miyatake, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
interiqr: Unobtrusive Edible Tags using Food 3D Printing,
In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST) 2022.
pp. 1-11,
October 2022.
Acceptance Rate 26.3%
松田綾美, 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.
pp. 981-983,
2022年5月.
In Japanese
学会賞奨励賞
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,
第84回情報処理学会全国大会.
pp. 4:189-4:190,
2022年3月.
In Japanese
堀悠太郎, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介.
サーモクロミック材と情報コードをRGB-Cストライプ構造化した表面色制御,
第84回情報処理学会全国大会.
pp. 3:143-3:144,
2022年3月.
In Japanese
Naoya Yoshimura, Yushi Sato, Yuta Kageyama, Jun Murao, Satoshi Yagi, Parinya Punpongsanon.
Hugmon: Exploration of Affective Movements for Hug Interaction using Tensegrity Robot,
In Companion Proceedings of ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2022.
pp. 1105-1109,
March 2022.
Shengze Zhong, Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
A Simple Calibration of Material Constitutive Model for FDM 3D Printers,
In Proceedings of Conference on 4D and Functional Fabrication (4DFF) 2021.
pp. 29-31,
October 2021.
In Japanese
Parinya Punpongsanon, Hiroki Ishizuka.
EdiSensor: Facilitating Food Electricity for Eating Habits Analysis,
In Proceedings of 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).
pp. 108-109,
March 2021.
Outstanding Paper Award
Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
Investigation of Soft Display using Digital Fabrication and Phase-change Material,
In Proceedings of 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).
pp. 513-514,
March 2021.
Outstanding Paper Award
Haruki Takahashi, Parinya Punpongsanon, Jeeeun Kim.
Programmable Filament: Printed Filaments for Multi-material 3D Printing,
In Proceedings of ACM Symposium on User Interface Software and Technology (UIST) 2020.
pp. 1209-1221,
October 2020.
Acceptance Rate 21.5%
Honorable Mention Award
Liyuan Duan, Haruka Matsukura, Parinya Punpongsanon, Takefumi Hiraki, Daisuke Iwai, Kosuke Sato.
Adaptive Visualization of Gas Distribution Using Augmented Reality Glasses,
In Proceedings of 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).
pp. 658-659,
October 2020.
Excellent Student Paper Award
Ying-Ju Lin, Parinya Punpongsanon, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller.
FoodFab: Creating Food Perception Illusions using Food 3D Printing,
In Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) 2020.
pp. 294:1-294:13,
April 2020.
Acceptance Rate 24.3%
Best Presentation Award (Asian CHI Symposium)
Tinglin Duan, Parinya Punpongsanon, Sheng Jia, Daisuke Iwai, Kosuke Sato, Konstantinos N. Plataniotis.
Remote Environment Exploration with Drone Agent and Haptic Force Feedback,
In Proceedings of IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR) 2019.
pp. 167-170,
December 2019.
Acceptance Rate 31.3%
Yuhua Jin, Isabel Qamar, Michael Wessely, Aradhana Adhikari, Katarina Bulovic, Parinya Punpongsanon, Stefanie Mueller.
Photo-Chromeleon: Re-Programmable Multi-Color Textures Using Photochromic Dyes,
In Proceedings of ACM Symposium on User Interface Software and Technology (UIST) 2019.
pp. 701-712,
October 2019.
Acceptance Rate 24.4%
Best Paper Award, Best Talk Award
Santawat Thanyadit, Parinya Punpongsanon, Ting-Chuen Pong.
ObserVAR: Visualization System for Observing Virtual Reality Users using Augmented Reality,
In Proceedings of IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2019.
pp. 386-396,
October 2019.
Acceptance Rate 25.6%
三好幹, プンポンサノン・パリンヤ, 岩井大輔, 佐藤宏介.
3Dプリンタ出力に対して知覚される硬軟度操作のための表面微細形状と内部構造設計,
第63回システム制御情報学会研究発表講演会.
pp. 1203-1207,
2019年5月.
In Japanese
学会賞奨励賞
森田耕平, 田辺育暉, 佐藤優志, プンポンサノン・パリンヤ, 松倉悠, 岩井大輔, 佐藤宏介.
頭部方向を用いた投影型拡張仮想手の操作範囲の拡張,
第63回システム制御情報学会研究発表講演会.
pp. 1375-1381,
2019年5月.
In Japanese
佐藤優志, 田辺育暉, 森田耕平, プンポンサノン・パリンヤ, 松倉悠, 岩井大輔, 佐藤宏介.
投影バーチャルハンドの疑似触覚フィードバックによる接触感呈示,
第63回システム制御情報学会研究発表講演会.
pp. 1367-1374,
2019年5月.
In Japanese
学会賞奨励賞
Martin Nisser, Junyi Zhu, Tianye Chen, Katarina Bulovic, Parinya Punpongsanon, Stefanie Mueller.
Sequential Support: 3D Printing Dissolvable Support Material for Time-Dependent Mechanisms,
In Proceedings of ACM Annual Conference in Tangible, Embedded, and Embodied Interaction (TEI) 2019.
pp. 669-676,
March 2019.
Acceptance Rate 31%
Tinglin Duan, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato.
FlyingHand: Extending the Range of Haptic Feedback on Virtual Hand using Drone-based Object Recognition,
In Proceedings of ACM SIGGRAPH Asia 2018: Technical Briefs.
Article 28,
December 2018.
Acceptance Rate 30%
Parinya Punpongsanon, Xin Wen, David Kim, Stefanie Mueller.
ColorMod: Recoloring 3D Printed Objects using Photochromic Inks,
In Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) 2018.
pp. 213:1-213:12,
April 2018.
Acceptance Rate 25.7%
Emilie Guy, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato, and Tamy Boubekeur.
LazyNav: 3D Ground Navigation with Non-Critical Body Parts,
In Proceedings of IEEE Symposium on 3D User Interfaces (3DUI) 2015.
pp. 43-50,
March 2015.
Best Paper Award
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
Projection-based Mixed Reality for Deformable Surfaces,
The 6th Korea-Japan Workshop on Mixed Reality (KJMR2013).
February 2013.
Best Presentation Award
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
表面変形のビジュアルトラッキングによる粘弾性曲面上での射影に基づく複合現実感,
第88回パターン計測シンポジウム, 計測自動制御学会.
pp. 35-40,
2012年12月.
In Japanese
Suriyong Lertkulvanich, and Parinya Punpongsanon.
English Composition game on the computer using a Natural Language Processing through online learning,
In Proceedings of the 4th TCU International e-Learning Conference (IEC2012).
June 2012.
Conference Proceedings (Talks, Posters and Demonstration)
Kohei Yanagi and Parinya Punpongsanon.
TeleFormation: Join Socially Interacting with Comfortable for Shared Virtual Environment using F-Formation,
In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2026.
XXX,
March 2026.
Poster
Acceptance Rate 66.2%
Yamato Miyatake and Parinya Punpongsanon.
An Exploratory Study on Edible Conductive Materials Using Water and Oil-based Gels for Human-Food Interaction,
In Proceedings of the Adjunct Publication of ACM Symposium on User Interface Software and Technology (UIST) 2025.
Article No. 129,
September 2025.
Poster
Yamato Miyatake, huaishu Peng and Parinya Punpongsanon.
Towards Personalized Food Texture through Internal Structure with 3D Printed Silicone Molds,
In Proceedings of the Adjunct Publication of ACM Symposium on User Interface Software and Technology (UIST) 2025.
Article No. 173,
September 2025.
Poster
Bo Peng and Parinya Punpongsanon.
SubtleNav: A Preliminary Study on Minimal Interaction for Navigation Using Subtle Motion,
In Proceedings of the 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE).
pp. 265-266,
September 2025.
Poster
Yamato Miyatake, Parinya Punpongsanon.
An Exploratory Study on Fabricating of Unobtrusive Edible Tags,
In Proceedings of ACM SIGGRAPH Asia 2024 Poster.
Article No. 51,
2024.
Poster
鵜木亮成, プンポンサノン・パリンヤ.
VR環境との同期のため嗅覚ドローンの飛行経路に関する探索的研究,
第29回日本バーチャルリアリティ学会大会論文集.
1D1-09,
2024年9月.
In Japanese
Yuto Umetsu, Parinya Punpongsanon, and Takefumi Hiraki.
InfiniteShader: Color Changeable 3D Printed Objects using Bi-Stable Thermochromic Materials,
In Proceedings of ACM SIGGRAPH Asia 2022: Technical Communications and Poster.
Article No. 38,
2022.
Poster
Parinya Punpongsanon, Yamamoto Miyatake, Daisuke Iwai, and Kosuke Sato.
Demonstration of interiqr: Unobtrusive Edible Tags using Food 3D Printing,
In Proceedings of the Adjunct Publication of ACM Symposium on User Interface Software and Technology (UIST) 2022.
pp. 1-2,
October 2022.
Demonstration
Valdemar Danry, Joanne Leong, Pat Pataranutaporn, Pulkit Tandon, Yimeng Liu, Roy Shilkrot, Parinya Punpongsanon, Tsachy Weissman, Pattie Maes, Misha Sra.
AI-Generated Characters: Putting Deepfakes to Good Use,
Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI 2022).
pp. 1-5,
2022.
Workshop
Piyarat Silapasuphakornwong, Parinya Punpongsanon, Chulapong Panichkriangkrai, Suchitra Sueeprasan, Kazutake Uehira.
Color Reproduction Framework for Inkjet FDM 3D Printers,
In Proceedings of the 42nd Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS) 2021.
2021.
Poster
堀 悠太郎, 平木 剛史, プンポンサノン・パリンヤ, 岩井 大輔, 川原 圭博, 佐藤 宏介.
双安定性サーモクロミックインクの選択的加熱を用いた造形後に表面色・模様を制御可能な立体物造形手法,
インタラクション2021.
ページ 662-667,
2021年2月.
In Japanese, Poster
Pat Pataranutaporn, Ali Shtarbanov, Glenn Fernandes, Jingwen Li, Parinya Punpongsanon, Joe Paradiso, and Pattie Maes.
Wearable Sanitizer: Design and Implementation of an Open-source, On-body Sanitizer for a Post-Pandemic,
In Proceedings of ACM SIGGRAPH Asia 2020: Emerging Technologies (eTech).
Article No. 1,
2020.
Demonstration
Santawat Thanyadit, Parinya Punpongsanon, and Ting-Chuen Pong.
Demonstration of ObserVAR: Visualization System for Observing Virtual Reality Users using Augmented Reality,
In Proceedings of ACM SIGGRAPH Asia 2020: Extended Reality (XR).
Article No. 13,
2020.
Demonstration
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, and Ting-Chuen Pong.
Substituting Teleportation Visualization for Collaborative Virtual Environments,
In Proceedings of 2020 ACM Symposium on Spatial User Interaction (SUI).
Article No. 31,
2020.
Poster
Best Poster Award
Parinya Punpongsanon, Ying-Ju Lin, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, and Stefanie Mueller.
Demonstration of FoodFab: Creating Food Perceptual Illusions using Food 3D Printing,
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI 2020).
pp. 16:1-16:4,
April 2020.
Demonstration
Motoki Miyoshi, Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
Preliminary Study on Surface Texture to Manipulate perceived Softness of 3D Printed Objects,
In Proceedings of International Conference on Artificial Reality and Telexistence with Eurographics Symposium on Virtual Environments (ICAT-EGVE) 2019.
pp. 17-18,
September 2019.
Poster
Santawat Thanyadit, Parinya Punpongsanon, and Ting-Chuen Pong.
Investigating Visualization Techniques for Observing a Group of Virtual Reality Users Using Augmented Reality,
In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2019.
pp. 1189-1190,
March 2019.
Poster
Kosuke Hiratani, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato.
Shadowless Projector: Suppressing Shadows in Projection Mapping with Micro Mirror Array Plate,
In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2019.
pp. 1309-1310,
March 2019.
Demonstration
Best Research Demonstration Runner-up Award
Naruki Tanabe, Yushi Sato, Kohei Morita, Michiya Inagaki, Yuichi Fujino, Parinya Punpongsanon, Haruka Matsukura, Daisuke Iwai, and Kosuke Sato.
fARFEEL: Providing Haptic Sensation of Touched Objects Using Visuo-Haptic Feedback,
In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2019.
pp. 1355-1356,
March 2019.
Demonstration
Parinya Punpongsanon, Xin Wen, David Kim, and Stefanie Mueller.
ColorMod: Demonstration of Recoloring 3D Printed Objects using Photochromic Inks,
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI) 2018.
D320,
April 2018.
Demonstration
Parinya Punpongsanon, Emilie Guy, Tamy Boubekeur, Daisuke Iwai, and Kosuke Sato.
Ground Navigation in 3D Scenes using Simple Body Motions,
In Proceedings of International Conference on Artificial Reality and Telexistence with Eurographics Symposium on Virtual Environments (ICAT-EGVE) 2014.
pp. 19-20,
December 2014.
Demonstration
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
A Preliminary Study on Altering Surface Softness Perception using Augmented Color and Deformation,
In Proceedings of IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2014.
pp. 301-302,
September 2014.
Poster
Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato, and Shinsaku Hiura.
Altering Surface Softness Perception in Spatial Augmented Reality by Visually Superimposing Projection Appearance,
International Symposium on Future of SHITSUKAN research.
July 2014.
Poster
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
Projection-based Visualization of Viscoelastic Surfaces Deformation using Infrared Vision Technique,
In Proceedings of 6th Thailand-Japan International Academic Conference (TJIA).
November 2013.
Poster
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato.
DeforMe: projection-based visualization of deformable surfaces using invisible textures,
In Proceedings of ACM SIGGRAPH Asia 2013: Emerging Technologies (e-Tech).
Article 8,
November 2013.
Demonstration
Professional Activities
Invited Talks
2025/12/12
電子情報通信学会 スマートインフォメディアシステム研究会
名城大学
"XRにおける知覚・インタラクション・共同作業の人間拡張"
2025/10/30
第12回視覚科学技術コンソーシアム
TKP大宮ビジネスセンター
"視覚認識とデジタルファブリケーション"
2025/05/23
日本信号 (NIPPON SIGNAL) 第60回出張講義
久喜事業所
"ドローンとの感覚認識研究"
2020/04/28
CHI2020 - Japan Chapter local meeting
Virtual event
"FoodFab: Creating Food Perception Illusions using Food 3D Printing"
2020/06/30
CHI 2020 Smell, taste and tempurature
Virtual event
"FoodFab: Creating Food Perception Illusions using Food 3D Printing"
2019/09/02
Human Interface Symposium 2019
Kyoto, Japan
"My Research Paper Submission Experience at CHI2018 and UIST2019"
2019/03/25
IEEE VR 2019
Osaka, Japan
"FleXeen: Visually Manipulating Perceived Fabric Bending Stiffness in Spatial Augmented Reality"
2018/12/12
ACM SIGCHI Asian Symposium 2018
Sendai, Japan
"Providing Target Haptics Sensation to Everyday Objects: From Digital to Physical Reality"
2016/08/01
MIRU 2016
Shizuoka, Japan
"SoftAR: Visually Manipulating Haptic Softness Perception in Spatial Augmented Reality"
2016/07/24
ACM SIGGRAPH 2016: IEEE TVCG Special Session on VR/AR
Anaheim, USA
"SoftAR: Visually Manipulating Haptic Softness Perception in Spatial Augmented Reality"
2015/09/09
VRSJ 2015: 世界を目指せ！ ― トップコンファレンス採択論文 紹介
Tokyo, Japan
"LazyNav: 3D Ground Navigation with Non-Critical Body Parts"
Funding
[May 2023 - Mar 2025]
RIEC Nation-wide Cooperative Research Projects
人工知能による表情やジェスチャーを通じた非言語コミュニケーションの強化 (Project No. R05/A32)
RIEC Nation-wide Cooperative Research Projects
人工知能による表情やジェスチャーを通じた非言語コミュニケーションの強化 (Project No. R05/A32)
[Apr 2023 - Mar 2026]
JSPS Grants-in-Aid for Scientific Research (Scientific Research C)
基盤C/デジタルファブリケーションを利用した食品へのデータ埋め込みに関する研究 (Project No. 23K11198）
JSPS Grants-in-Aid for Scientific Research (Scientific Research C)
基盤C/デジタルファブリケーションを利用した食品へのデータ埋め込みに関する研究 (Project No. 23K11198）
[Oct 2022 - Sep 2023]
NAGAMORI Foundation Award
研究助成/Development of Haptic Thermal Perception Device for VR Controller using Flexible Thermoelectric Material
NAGAMORI Foundation Award
研究助成/Development of Haptic Thermal Perception Device for VR Controller using Flexible Thermoelectric Material
[Apr 2022 - Mar 2025]
JSPS Grants-in-Aid for Scientific Research (Scientific Research B)
基盤B/ポリマー光造形と知覚処理機構を融合したヒトに迫る質感認識能力を有するソフトハンド (Project No. 22H01447/Co-Investigator)
JSPS Grants-in-Aid for Scientific Research (Scientific Research B)
基盤B/ポリマー光造形と知覚処理機構を融合したヒトに迫る質感認識能力を有するソフトハンド (Project No. 22H01447/Co-Investigator)
[Oct 2021 - Sep 2022]
NAGAMORI Foundation Award
研究助成/Development of Haptics Display that Simulate Liquid Material Properties using Electromagnet
NAGAMORI Foundation Award
研究助成/Development of Haptics Display that Simulate Liquid Material Properties using Electromagnet
[Dec 2020 - Mar 2023]
JST ACT-X (AI powered Research Innovation)
Computational Food Textures for Enhancing Eating Experience using Food 3D Printer and AI
JST ACT-X (AI powered Research Innovation)
Computational Food Textures for Enhancing Eating Experience using Food 3D Printer and AI
[Oct 2020 - Sep 2022]
Osaka University Multidisciplinary Research Laboratory
共同研究/フード3Dプリンターと人工知能を使用して食事体験を向上させる計算フードテクスチャ
Osaka University Multidisciplinary Research Laboratory
共同研究/フード3Dプリンターと人工知能を使用して食事体験を向上させる計算フードテクスチャ
[Oct 2020 - Sep 2021]
NAGAMORI Foundation Award
研究助成/Development of 3D Printed Soft Actuators for Haptics Display by Varying the Materials and Air Pressure
NAGAMORI Foundation Award
研究助成/Development of 3D Printed Soft Actuators for Haptics Display by Varying the Materials and Air Pressure
[Apr 2019 - Mar 2021]
JSPS Grants-in-Aid for Scientific Research (Early-Career Scientists)
若手研究/3Dプリンタの柔らかさ表現能力を拡張する計算論的ファブリケーション研究 (Project No. 19K20321）
JSPS Grants-in-Aid for Scientific Research (Early-Career Scientists)
若手研究/3Dプリンタの柔らかさ表現能力を拡張する計算論的ファブリケーション研究 (Project No. 19K20321）
[Oct 2018 - Sep 2019]
Osaka University Multidisciplinary Research Laboratory
個人研究/色の変化できる素材を使って日常物の持続性を高める研究
Osaka University Multidisciplinary Research Laboratory
個人研究/色の変化できる素材を使って日常物の持続性を高める研究
[Apr 2016 - Mar 2018]
JSPS Specially Promoted Research (DC2/PD)
特別研究員奨励費/身体および接触対象への映像重畳投影が触質感知覚に及ぼす影響の解明 (Project No. 16J00049）
JSPS Specially Promoted Research (DC2/PD)
特別研究員奨励費/身体および接触対象への映像重畳投影が触質感知覚に及ぼす影響の解明 (Project No. 16J00049）
[Dec 2012 - Feb 2013]
Student Dispatch Program (Short-term Visiting Researcher)
Funding by Graduate School of Engineering Science, Osaka University
Student Dispatch Program (Short-term Visiting Researcher)
Funding by Graduate School of Engineering Science, Osaka University
[Oct 2011 - Sep 2016]
MEXT Scholarship
Scholarship by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)
MEXT Scholarship
Scholarship by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)
[Oct 2008 - Sep 2009]
JASSO Scholarship
Scholarship by the Japan Student Services Organization, Ministry of Education, Culture, Sports, Science and Technology of Japan
JASSO Scholarship
Scholarship by the Japan Student Services Organization, Ministry of Education, Culture, Sports, Science and Technology of Japan
Awards
IEEE GCCE 2025 Best Presentation Award
Jiaqi Gu and Parinya Punpongsanon, "Exploratory Study of AR Hand Redirection Using Augmented Virtual Hand", IEEE 2025 Global Conference on Consumer Electronics (GCCE), 2025
Jiaqi Gu and Parinya Punpongsanon, "Exploratory Study of AR Hand Redirection Using Augmented Virtual Hand", IEEE 2025 Global Conference on Consumer Electronics (GCCE), 2025
2025年度学会賞奨励賞
遠藤碧海, プンポンサノン・パリンヤ, “咀嚼情報と色の情動を利用した摂食行動改善のための拡張視覚化システムの開発”, 第87回情報処理学会全国大会
遠藤碧海, プンポンサノン・パリンヤ, “咀嚼情報と色の情動を利用した摂食行動改善のための拡張視覚化システムの開発”, 第87回情報処理学会全国大会
2022年度学会賞奨励賞
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
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
IEEE ISMAR 2021 Best Journal Paper Award
Sorashi Kimura, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato. “Multifocal Stereoscopic Projection Mapping”, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021
Sorashi Kimura, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato. “Multifocal Stereoscopic Projection Mapping”, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021
IEEE LifeTech 2021 Outstanding Paper Awards for Oral Presentation
Parinya Punpongsanon, and Hiroki Ishizuka. “EdiSensor: Facilitating Food Electricity for Eating Habits Analysis”, IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech), 2021
Parinya Punpongsanon, and Hiroki Ishizuka. “EdiSensor: Facilitating Food Electricity for Eating Habits Analysis”, IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech), 2021
ACM SUI 2020 Best Poster Award
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, and Ting-Chuen Pong. “Substituting Teleportation Visualization for Collaborative Virtual Environments”, ACM Symposium on Spatial User Interaction (SUI), 2020
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, and Ting-Chuen Pong. “Substituting Teleportation Visualization for Collaborative Virtual Environments”, ACM Symposium on Spatial User Interaction (SUI), 2020
ACM UIST 2020 Honorable Mention Award
Haruki Takahashi, Parinya Punpongsanon, and Jeeeun Kim, “Programmable Filament: Printed Filaments for Multi-material 3D Printing”, ACM Symposium on User Interface Software and Technology (UIST), 2020
Haruki Takahashi, Parinya Punpongsanon, and Jeeeun Kim, “Programmable Filament: Printed Filaments for Multi-material 3D Printing”, ACM Symposium on User Interface Software and Technology (UIST), 2020
IEEE GCCE 2020 Excellent Student Paper Award
Liyuan Duan, Haruka Matsukura, Parinya Punpongsanon, Takefumi Hiraki, Daisuke Iwai, and Kosuke Sato, “Adaptive Visualization of Gas Distribution Using Augmented Reality Glasses”, IEEE 9th Global Conference on Consumer Electronics (GCCE), 2020
Liyuan Duan, Haruka Matsukura, Parinya Punpongsanon, Takefumi Hiraki, Daisuke Iwai, and Kosuke Sato, “Adaptive Visualization of Gas Distribution Using Augmented Reality Glasses”, IEEE 9th Global Conference on Consumer Electronics (GCCE), 2020
Asian CHI Symposium 2020 Best Presentation Award (Showcase)
Parinya Punpongsanon, Ying-Ju Lin, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, and Stefanie Mueller, “FoodFab: Creating Food Perception Illusions using Food 3D Printing”
Parinya Punpongsanon, Ying-Ju Lin, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, and Stefanie Mueller, “FoodFab: Creating Food Perception Illusions using Food 3D Printing”
2019年度学会賞奨励賞
佐藤優志，田辺育暉，森田耕平，プンポンサノンパリンヤ，松倉悠，岩井大輔，佐藤宏介， “投影バーチャルハンドにおける疑似触覚フィードバックによる接触感呈示”，第63回システム制御情報学会研究発表講演会
佐藤優志，田辺育暉，森田耕平，プンポンサノンパリンヤ，松倉悠，岩井大輔，佐藤宏介， “投影バーチャルハンドにおける疑似触覚フィードバックによる接触感呈示”，第63回システム制御情報学会研究発表講演会
2019年度学会賞奨励賞
三好幹, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介, “3Dプリンタ出力に対して知覚される硬軟度操作のための表面微細形状と内部構造設計”, 第63回システム制御情報学会研究発表講演会
三好幹, プンポンサノン パリンヤ, 岩井大輔, 佐藤宏介, “3Dプリンタ出力に対して知覚される硬軟度操作のための表面微細形状と内部構造設計”, 第63回システム制御情報学会研究発表講演会
ACM UIST 2019 Best Paper Award
Yuhua Jin, Isabel Qamar, Michael Wessely, Aradhana Adhikari, Katarina Bulovic, Parinya Punpongsanon, and Stefanie Mueller, “Photo-Chromeleon: Re-Programmable Multi-Color Textures Using Photochromic Dyes”, ACM Symposium on User Interface Software and Technology (UIST), 2019
Yuhua Jin, Isabel Qamar, Michael Wessely, Aradhana Adhikari, Katarina Bulovic, Parinya Punpongsanon, and Stefanie Mueller, “Photo-Chromeleon: Re-Programmable Multi-Color Textures Using Photochromic Dyes”, ACM Symposium on User Interface Software and Technology (UIST), 2019
ACM UIST 2019 Best Talk Award
Yuhua Jin, Isabel Qamar, Michael Wessely, Aradhana Adhikari, Katarina Bulovic, Parinya Punpongsanon, and Stefanie Mueller, “Photo-Chromeleon: Re-Programmable Multi-Color Textures Using Photochromic Dyes”, ACM Symposium on User Interface Software and Technology (UIST), 2019
Yuhua Jin, Isabel Qamar, Michael Wessely, Aradhana Adhikari, Katarina Bulovic, Parinya Punpongsanon, and Stefanie Mueller, “Photo-Chromeleon: Re-Programmable Multi-Color Textures Using Photochromic Dyes”, ACM Symposium on User Interface Software and Technology (UIST), 2019
IEEE VR 2019 Best Research Demonstration Runner-up Award
Kosuke Hiratani, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato, “Shadowless Projector#58; Suppressing Shadows in Projection Mapping with Micro Mirror Array Plate”, IEEE Conference in Virtual Reality and 3D User Interfaces (VR), 2019
Kosuke Hiratani, Daisuke Iwai, Parinya Punpongsanon, and Kosuke Sato, “Shadowless Projector#58; Suppressing Shadows in Projection Mapping with Micro Mirror Array Plate”, IEEE Conference in Virtual Reality and 3D User Interfaces (VR), 2019
IEEE Kansai Section Best Student Research Award 2016
Student Research award at IEEE Kansai Section 2016
Student Research award at IEEE Kansai Section 2016
ACM UIST 2016 Best Student Volunteer Award
Student Volunteers award at the 29th ACM User Interface Software and Technology Symposium 2016
Student Volunteers award at the 29th ACM User Interface Software and Technology Symposium 2016
IEEE 3DUI 2015 Best Paper Award
Emilie Guy, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato, Tamy Boubekeur, “LazyNav: 3D Ground Navigation with Non-Critical Body Parts”, IEEE Symposium on 3D User Interfaces (3DUI), 2015
Emilie Guy, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato, Tamy Boubekeur, “LazyNav: 3D Ground Navigation with Non-Critical Body Parts”, IEEE Symposium on 3D User Interfaces (3DUI), 2015
Highest Commendation for Volunteer Services SIGGRAPH Asia 2014
Student Volunteers award of the 7th ACM SIGGRAPH Asia 2014
Student Volunteers award of the 7th ACM SIGGRAPH Asia 2014
KJMR 2013 Best Presentation Award
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato, “Projection-based Mixed Reality for Deformable Surfaces,” Korea-Japan Workshop on Mixed Reality, 2013
Parinya Punpongsanon, Daisuke Iwai, and Kosuke Sato, “Projection-based Mixed Reality for Deformable Surfaces,” Korea-Japan Workshop on Mixed Reality, 2013
Academic Services
2026
Demo Co-chairs
The 11th annual ACM Symposium on Computational Fabrication 2026, Tokyo, Japan
2026
Registration Chair
The 8th IEEE conference on AI and Extended and Virtual Reality 2026, Osaka, Japan
2025
Session Chair (User Interfaces)
The 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE) 2025, Osaka, Japan
2025
Tutorial Co-chairs
The 2025 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), Saint-Malo, France
2022
Poster Chair
ACM Spatial User Interaction (SUI) 2022, Virtual
2021
Guest Editor
Frontier Virtual Reality (2021) Supernatural Enhancements of Perception, Interaction, and Collaboration in Mixed Reality
2021
Program Chair
The 27th ACM Symposium on Virtual Reality Software and Technology (VRST) 2021, Osaka, Japan
2021
Session Chair (Healthcare Technologies)
The 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) 2021, Nara, Japan
2019
Web Chair
ACM CSCW Asia Winter School 2019, Kyoto, Japan
2018
Workshop Co-Organizer
ACM ISS'18 Workshop on Computational Augmented Reality Displays 2018, Tokyo, Japan
2018
Doctoral Consortium Co-Chair
ACM International Conference on Interactive Surfaces and Spaces (ISS) 2018, Tokyo, Japan
2017
Local Arrangements Chair
Symposium on Computational Fabrication (SCF) 2017, Cambridge, USA
2017
Local Arrangements Chair
SIGCHI Summer School on Computational Fabrication and Smart Matter 2017, Cambridge, USA
2017
Session Chair (Experiences with Virtual Reality)
ACM Conference on Human Factors in Computing Systems (CHI) 2017, Denver, USA
2017
Documentations Chair
ACM User Interface Software and Technology Symposium (UIST) 2017, Quebec City, Canada
2016
AV Chair
ACM Symposium on Spatial User Interaction (SUI) 2016, Tokyo, Japan
2015
Visual Design and Web Chair
The 20th Anniversary of The Virtual Reality Society of Japan
2015
Chief Graphics Designer
The 25th International Conference on Artificial Reality and Telexistence and Symposium on Virtual Environments (ICAT-EGVE) 2015, Kyoto, Japan
Program Committee member
ACM CHI
2025 (Design area), 2022 (Design area), 2021 (Design area)
ACM DIS
2026 (Artifact area)
ACM TEI
2021 (WIP)
ACM SIGGRAPH Asia (Emerging Technologies Track)
2025, 2024, 2023, 2021, 2020, 2018, 2017
ACM SUI
2024 , 2023 , 2022
ACM UIST
2020
ICAT-EGVE
2018, 2017
IEEE ISMAR
2025 (IPC), 2024 (IPC, Conference Track)
IEEE VR
2026 (IPC), 2020 (IPC, Conference Track)
Peer Review activities
Springer IJIDeM
2023
Elsevier Computer & Graphics
2024, 2023, 2021, 2019
MDPI sensors
2020, 2019
APMAR
2022, 2020, 2019
ACM CSCW
2020, 2018
ACM CHI
2026, 2025, 2024, 2023, 2022, 2021, 2020, 2018, 2017
ACM DIS
2026, 2023, 2022
ACM HRI
2020, 2017
ACM ISS
2026, 2025, 2023, 2022, 2020, 2019, 2018
ACM TEI
2026, 2024, 2021, 2019, 2018
ACM SIGGRAPH
2026, 2022, 2020, 2019
ACM SIGGRAPH Asia
2022, 2021, 2020, 2018, 2017, 2016
ACM SUI
2024, 2021, 2018, 2016
ACM UIST
2025, 2024, 2021, 2020, 2019, 2018, 2017, 2016
ACM VRST
2023, 2022, 2021, 2019, 2018, 2017, 2016
ACM IMWUT
2026, 2023, 2022
IEEE TOH
2026, 2022, 2020, 2019
IEEE VR
2026, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017
IEEE ISMAR
2025, 2024, 2023, 2022, 2021, 2020, 2018, 2017, 2016
IEEE TVCG
2025, 2024, 2023, 2022, 2020
IEEE WHC
2019
ICAT-EGVE
2022, 2020, 2018, 2017
INTERACT
2022, 2021, 2019
TVRSJ
2024, 2023
Employment and Education History
Employment History
Associate Professor
Gradaute School of Science and Engineering, Saitama University
Apr 2023 Present
Fabrication, Interaction and Perception Laboratory as a Principle Investigator
Gradaute School of Science and Engineering, Saitama University
Apr 2023 Present
Fabrication, Interaction and Perception Laboratory as a Principle Investigator
Assistant Professor
Graduate School of Engineering Science, The University of Osaka
Apr 2021 Mar 2023
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Graduate School of Engineering Science, The University of Osaka
Apr 2021 Mar 2023
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Assistant Professor
Institute for Advanced Co-Creation Studies, The University of Osaka
Jan 2019 Mar 2021
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Institute for Advanced Co-Creation Studies, The University of Osaka
Jan 2019 Mar 2021
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Assistant Professor
Graduate School of Engineering Science, The University of Osaka
Apr 2018 Dec 2018
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Graduate School of Engineering Science, The University of Osaka
Apr 2018 Dec 2018
Prof. Kosuke Sato Laboratory (Augmented Reality, Haptic Perception, Digital Fabrication)
Postdoctoral Associate
HCI Engineering Group, MIT CSAIL
Jan 2017 Mar 2018
Prof. Stefanie Mueller Laboratory (Personal Fabrication, 3D Printing, HCI)
HCI Engineering Group, MIT CSAIL
Jan 2017 Mar 2018
Prof. Stefanie Mueller Laboratory (Personal Fabrication, 3D Printing, HCI)
Postdoctoral Fellow
Japan Society for the Promotion of Science
Oct 2016 Mar 2018
Prof. Stefanie Mueller Laboratory (Personal Fabrication, 3D Printing, HCI)
Japan Society for the Promotion of Science
Oct 2016 Mar 2018
Prof. Stefanie Mueller Laboratory (Personal Fabrication, 3D Printing, HCI)
Visiting Researcher
Computer Graphics Group, TSI, Telecom ParisTech (ENST), University Paris-Saclay
Dec 2013 Feb 2014
Prof. Tamy Boubekeur Laboratory (Natural Interaction Interfaces and Systems)
Computer Graphics Group, TSI, Telecom ParisTech (ENST), University Paris-Saclay
Dec 2013 Feb 2014
Prof. Tamy Boubekeur Laboratory (Natural Interaction Interfaces and Systems)
Programmer Analysis
Kiatnakin Bank Public Limited Company
Jun 2010 Sep 2011
Core Banking Systems (Data Management), Information System Department
Kiatnakin Bank Public Limited Company
Jun 2010 Sep 2011
Core Banking Systems (Data Management), Information System Department
Education History
Ph.D in Engineering
Graduate School of Engineering Science, The University of Osaka
Oct 2013 Sep 2016
Advisor: Prof. Daisuke Iwai and Prof. Kosuke Sato
Thesis: Spatial Augmented Reality for Deformable Objects
Graduate School of Engineering Science, The University of Osaka
Oct 2013 Sep 2016
Advisor: Prof. Daisuke Iwai and Prof. Kosuke Sato
Thesis: Spatial Augmented Reality for Deformable Objects
Master of Engineering
Graduate School of Engineering Science, The University of Osaka
Oct 2011 Sep 2013
Advisor: Prof. Daisuke Iwai and Prof. Kosuke Sato
Thesis: Projection-based Mixed Reality for Deformable Surfaces using Infrared Textures
Graduate School of Engineering Science, The University of Osaka
Oct 2011 Sep 2013
Advisor: Prof. Daisuke Iwai and Prof. Kosuke Sato
Thesis: Projection-based Mixed Reality for Deformable Surfaces using Infrared Textures
Exchange Student
Electrical Engineering, School of Engineering, University of Fukui
Oct 2008 Sep 2009
Thesis: Natural Language Processing and Artificial Intelligence
Electrical Engineering, School of Engineering, University of Fukui
Oct 2008 Sep 2009
Thesis: Natural Language Processing and Artificial Intelligence
Bachelor of Science
Applied Computer Science in Multimedia, Information Technology, Faculty of Education and Industrial Engineering, King Mongkut’s University of Technology Thonburi
May 2006 Apr 2010
Advisor: Prof. Suriyong Lertkulvanich
Thesis: English Composition game on the computer using a Natural Language Processing
Applied Computer Science in Multimedia, Information Technology, Faculty of Education and Industrial Engineering, King Mongkut’s University of Technology Thonburi
May 2006 Apr 2010
Advisor: Prof. Suriyong Lertkulvanich
Thesis: English Composition game on the computer using a Natural Language Processing