Department of Information & Computer Sciences · Saitama University
Fabrication, Interaction & Perception Laboratory
About the Lab
The Fabrication, Interaction & Perception Laboratory was established at the Graduate School of Science and Engineering, Saitama University in April 2023. We conduct research to explore new methods and systems that solve personalization issues through fabrication integrated with human perception. Our laboratory also collaborates with other academic institutes and industrial counterparts to solve practical issues.
News
D2 Miyatake’s DIS2026 paper has been selected as the Honorable Mention Award! Congratulation.
新しい学部4年生4名がパリンヤ研に配属されました.
修士2年の4名が修士論文公聴会にて研究成果発表を行いました.
学部4年の4名が卒業論文公聴会にて研究成果発表を行いました.
Research Themes
All work →Digital (Food) Fabrication
We develop fabrication and systems to meet personal needs. We also contribute to the food research through the Human-Food Interaction to make a preference food for different group of users.
Latest Publication
ChewTect: Designing Temporal Food Texture via Computational Molding
Yamato Miyatake, Aoi Yamada, Huaishu Peng, Parinya Punpongsanon
ACM DIS 2026
TastePrint: A 3D food printing system for layer-wise taste distribution via airbrushed liquid seasoning
Yamato Miyatake, Parinya Punpongsanon
Front. Nutr. 2026
EateryTag: investigating unobtrusive edible tags using digital food fabrication
Yamato Miyatake, Parinya Punpongsanon
Front. Nutr. 2025
Reconfigurable Soft Pneumatic Actuators Using Multi-Material Self-Healing Polymers
Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon, Sei Ikeda, Osamu Oshiro
IEEE RA-L 2025
An Exploratory Study on Fabricating of Unobtrusive Edible Tags
Yamato Miyatake, Parinya Punpongsanon
ACM SIGGRAPH Asia 2024
Perception Driven Interaction
We integrate sensory perception to explore new perceptual systems and sensory augmentation techniques. For example, our work employs a projector–camera system to manipulate the perceived softness of physical objects. By augmenting the projection surface with dynamic, deformable visual effects, our method alters the user’s perception of softness during interaction with the object.
Latest Publication
SmellFly: Investigating Olfactory Display in VR using a Small Drone
Unoki Ryousei, Parinya Punpongsanon
IEEE GCCE 2025
ViWeight: Manipulating Virtual Liquid Weight Perception using Vibrating Illusion
Natthaphon Hatsakornkhanachok, Parinya Punpongsanon
IEEE GCCE 2025
Visually Manipulating Perceived Food Texture in Projection Mapping
Atsushi Maki, Parinya Punpongsanon, Daisuke Iwai, Kosuke Sato
The Virtual Reality Society of Japan (VRSJ) 2024
Directionally Decomposing Structured Light for Projector Calibration
Masatoki Sugimoto, Daisuke Iwai, Koki Ishida, Parinya Punpongsanon, Kosuke Sato
IEEE TVCG 2021
Multifocal Stereoscopic Projection Mapping
Sorashi Kimura, Daisuke Iwai, Parinya Punpongsanon, Kosuke Sato
IEEE TVCG 2021
Novel Interaction Metaphor
We develop new interaction techniques aimed at addressing challenges in everyday life. We are also interested in exploring new interaction metaphors that reduce physical strain on the human body while allowing for secondary interactions to occur simultaneously.
Latest Publication
Exploratory Study of AR Hand Redirection using Augmented Virtual Hand
Ko Kaki, Parinya Punpongsanon
IEEE GCCE 2025
SubtleNav: A Preliminary Study on Minimal Interaction for Navigation Using Subtle Motion
Peng Bo, Parinya Punpongsanon
IEEE GCCE 2025
Shadowless Projection Mapping using Retrotransmissive Optics
Kosuke Hiratani, Daisuke Iwai, Yuta Kageyama, Parinya Punpongsanon, Takefumi Hiraki, Kosuke Sato
IEEE TVCG 2023
XR-LIVE: Enhancing Asynchronous Shared-Space Demonstrations with Spatial-temporal Assistive Toolsets for Effective Learning in Immersive Virtual Laboratories
Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, Ting-Chuen Pong
ACM CSCW 2022
AI-generated Characters for Supporting Personalized Learning and Well-being
Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes, Misha Sra
Nature Machine Intelligence 2021
Prospective Students / 研究室配属希望者へ
We do not accept research students.
For MEXT Scholarship program, please check ESITI International Graduate Program for more details.