JUNNISHIDA Portfolio

Photo taken by Hsiang-Yu Tsai

JUN NISHIDA

Ph.D. in Human Informatics | CV | Google Scholar

I’m a postdoctoral fellow at Human Computer Integration Lab at University of Chicago. I received my PhD in Human Informatics at University of Tsukuba, Japan in 2019. I am interested in exploring interaction techniques where people can communicate their embodied experiences to support each other in the fields of rehabilitation, education, and design. To this end, I design wearable interfaces which share one’s embodied and social experiences among people by means of electrical muscle stimulation, exoskeletons, virtual/augmented reality systems, along with psychological knowledge. Received more than 40 awards including ACM UIST Best Paper Award, Microsoft Research Asia Fellowship Award, and Forbes 30 Under 30 Award.

I have worked as a PhD fellow at Microsoft Research Asia and as a research assistant at Sony Computer Science Laboratories. My works have been funded by Japan Society for the Promotion of Science (JSPS) and Japan’s Ministry of Internal Affairs and Communications. I have received fellowships from Microsoft Research Asia, Agilent Technologies, University of Chicago, and JSPS.

西田惇

博士（人間情報学） | CV | Google Scholar

2019年に筑波大学一貫制博士課程（エンパワーメント情報学プログラム）を修了し、現在シカゴ大学コンピュータサイエンス研究科で研究員をしています。人が本来持つ物理的・認知的能力を最大限に活用しつつ、他者の身体的体験を自身で主体的に体験できる身体情報環境の構築を通して、リハビリテーションや教育、デザインにおける人々のコミュニケーションや学習、インタラクションを支援することを目指しています。これを実現するため、筋電気刺激や外骨格ロボット、AR/VRを用いた装着型身体機能共有デバイスの研究に取り組んでいます。加えて、身体機能・身体知覚の変容に伴うヒトの知覚(Perception)・行動(Action)・相互作用(Inter-action)の変化を計測・観察し、ヒトの身体認知特性の理解を試みます。主な受賞: ACM UIIST Best Paper Award、Microsoft Research Asia フェローシップ賞、筑波大学長表彰(3回)、Forbes JAPAN 30 Under 30、IVRC2014総合優勝、米国特許協会賞ほか35賞。

これまでにSony Computer Science Laboratories (SonyCSL)とMicrosoft Research Asia (MSRA)においてそれぞれリサーチアシスタント，PhDフェローとして身体知覚やウェアラブル技術に関する研究に従事しました．フェローシップ: 日本学術振興会，Microsoft Research Asia，米アジレントテクノロジー，米シカゴ大学

西田惇

博士（Human Informatics） | CV | Google Scholar

在2019年獲得日本築波大學人類資訊學(Human Informatics)博士學位後，我目前於芝加哥大學人機互動實驗室擔任博士後研究員。我的研究興趣與方向為最大化人類固有實際能力與認知能力，並將此技術應用在復健、教育和設計領域。我主要透過設計可穿戴界面，利用肌肉電極刺激、外骨骼、虛擬/增強現實系統並將其與心理知識背景結合來探討以及具現化不同族群人類的社會經驗。截至目前，我已獲得了40多個相關學術獎項，包括ACM UIST最佳論文獎，微軟亞洲研究院院士獎，以及富比士30位30歲以下人士獎。

我曾在微軟亞洲研究院擔任博士生研究員，在Sony計算機科學實驗室擔任研究助理。我目前的研究經費來源主要為日本學術振興會(JSPS)和日本總務省的資助。我過去曾獲得微軟亞洲研究院、安捷倫科技公司(Agilent Technologies)、美國芝加哥大學和JSPS的獎學金。

Selected Papers

HandMorph: a Passive Exoskeleton that Miniaturizes Grasp

Jun Nishida, Soichiro Matsuda, Hiroshi Matsui, Shan-Yuan Teng, Ziwei Liu, Kenji Suzuki and Pedro Lopes

ACM UIST 2020 | PDF | Video | Best Paper Award |

Egocentric Smaller-person Experience by Changing a Visual Perspective

Jun Nishida, Soichiro Matsuda, Mika Oki, Hikaru Takatori, Kosuke Sato and Kenji Suzuki

ACM CHI 2019 | PDF | Video | Best Paper Honorable Mention Award |

bioSync: A Paired Wearable Device for Blending Kinesthetic Experience

Jun Nishida and Kenji Suzuki

ACM CHI 2017 | PDF | Video | IEEE VR Best Demo Honorable Mention Award |

Whose touch is this?: Understanding the Agency Trade-off Between User-driven touch vs. Computer-driven Touch

Daisuke Tajima, Jun Nishida, Pedro Lopes, Shunichi Kasahara

ACM Transactions on CHI | in press |

Agency Drives Learning: Preserving Agency During Muscle Stimulation Speeds up Reaction Time

Shunichi Kasahara, Kazuma Takada, Jun Nishida, Kazuhisa Shibata, Shinsuke Shimojo, Pedro Lopes

ACM CHI 2021 | PDF | Video |

Preemptive Action: Accelerating Human Reaction using Electrical Muscle Stimulation Without Compromising Agency

Shunichi Kasahara, Jun Nishida, and Pedro Lopes

ACM CHI 2019 | PDF | Video | SIGGRAPH 2019 Etech Grand Prize |

Stereo-Smell via Electrical Trigeminal Stimulation

Jas Brooks, Shan-Yuan Teng, Jingxuan Wen, Romain Nith, Jun Nishida, Pedro Lopes

ACM CHI 2021 | PDF | Video | Fast Company The best experimental design of 2021 Honorable Mentions |

Next Steps for Human-Computer Integration: Challenges and Opportunities

Florian ‘Floyd’ Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju, Caitlyn Seim, Martin Weigel, Suranga Nanayakkara, Marianna Obrist, Zhuying Li, Joseph Delfa, Jun Nishida, Elizabeth M. Gerber, Dag Svanaes, Jonathan Grudin, Stefan Greuter, Kai Kunze, Thomas Erickson, Steven Greenspan, Masahiko Inami, Joe Marshall, Harald Reiterer, Katrin Wolf, Jochen Meyer, Thecla Schiphorst, Dakuo Wang, Pattie Maes.

ACM CHI 2019 | PDF |

Selected Awards