IEEE VR 2023 で 5件の発表を行いました

3月25日〜29日に上海およびオンラインで開催された IEEE VR 2023 にて、以下の5件の発表を行いました。IEEE VRはバーチャルリアリティ分野のトップカンファレンスで、トップジャーナル IEEE TVCG に掲載されるのは投稿論文の上位10.0%、予稿集に収録されるものを含めても採択率21.4%という狭き門でした。私たちの研究室からは、TVCG 1件（修了生Yan君とD2のHuさん）、予稿集 1件（M2の音納君）の計2件の口頭発表を行いました。これらに加えて、2件のポスター発表（修了生のYang君とM2の大塚さん）と1件のデモ発表（修了生Yan君とD2のHuさん）を行いました。

(TVCG Paper)

• “Add-on Occlusion: Turning Off-the-Shelf Optical See-through Head-mounted Displays Occlusion-capable“,
  Yan Zhang, Xiaodan Hu, Kiyoshi Kiyokawa, and Xubo Yang (collaboration with Shanghai Jiao Tong University)
  (Research on an attachment module for supporting per-pixel occlusion on existing optical see-through AR glasses, such as HoloLens)

(Conference Paper)

• “I’m Transforming! Effects of Visual Transitions to Change of Avatar on the Sense of Embodiment in AR“,
  Riku Otono, Adélaïde Genay, Monica Perusquía-Hernández, Naoya Isoyama, Hideaki Uchiyama, Martin Hachet, Anatole Lécuyer, and Kiyoshi Kiyokawa (collaboration with INRIA, France)
  (A study that investigated the enhancement of a sense of embodiment through the gradual transformation of the user’s own body into an avatar through voluntary actions.)

(Poster)

• “A Palm-Through Interaction Technique for Controlling IoT Devices“,
  Zhengchang Yang, Naoya Isoyama, Nobuchika Sakata, and Kiyoshi Kiyokawa
  (A user interface that uses a palm held up in the air like a touch panel to control distant IoT devices)
• “An AR Visualization System for 3D Carbon Dioxide Concentration Measurement Using Fixed and Mobile Sensors“,
  Maho Otsuka, Monica Perusquía-Hernández, Naoya Isoyama, Hideaki Uchiyama, and Kiyoshi Kiyokawa
  (An AR system that automatically recognizes the placement of CO2 sensors installed indoors and visualizes the distribution of CO2 concentration)

(Research Demo)

• “Add-on Occlusion: Building an Occlusion-capable Optical See-through Head-mounted Display with HoloLens 1“,
  Yan Zhang, Xiaodan Hu, Kiyoshi Kiyokawa, and Xubo Yang (collaboration with Shanghai Jiao Tong University)
  （Research demo of an attachment module for supporting per-pixel occlusion on HoloLens 1）