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DTSTART;TZID=America/Los_Angeles:20260722T090000
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UID:siggraph_SIGGRAPH 2026_sess455@linklings.com
SUMMARY:Posters: Augmented & Virtual Reality
DESCRIPTION:43. Brushes for XR Experiences\n\nSilicone brushes designed fo
 r XR experiences were evaluated using the Kacho-Zu (Painting of Flowers an
 d Birds) Experience System Using Brushes, suggesting that they have the po
 tential to provide both the sensation of a brush loaded with paint and a f
 avorable drawing experience.\n\n\nKei Kobayashi (Nagoya City University) a
 nd Kazuma Nagata (Independent)\n---------------------\n44. CheerleadAR: Pr
 etraining Support for Cheerleading Stunts using Augmented Reality\n\nThis 
 paper proposes an AR-based pretraining system for cheerleading stunts. Bui
 lding on a prior VR prototype, the system enables multiple users to virtua
 lly experience synchronized stunt movements. It offers a more realistic ex
 perience and has potential as a pretraining tool before attempting stunts.
 ..\n\n\nMizuki Akiyama (Ochanomizu University); Christian Sandor (CNRS, Un
 iversité Paris-Saclay); and Yuki Igarashi (Ochanomizu University, The Univ
 ersity of Tokyo)\n---------------------\n45. Context Aware AI Assistant an
 d AR Interface for Lunar Extravehicular Activity (EVA) Procedural Guidance
 \n\nGAIN-AI is a context-aware AI assistant and augmented reality heads-up
  display designed to support astronauts during lunar extravehicular activi
 ties. The system translates dense mission procedures into clear, step-by-s
 tep Goal-Task-Verification cards, helping crew members understand what to 
 do, why ...\n\n\nRodrigo Gallardo, Qilmeg Doudatcz, Ganit Goldstein, IIkya
 z Sarimehmetoglu, Sergio Mutis, Alexander Htet Kyaw, Anita Lin, Clara Emme
 rling, Berfin Ataman, and Skylar Tibbits (Massachusetts Institute of Techn
 ology (MIT))\n---------------------\n46. Design and Evaluation of Mixed Re
 ality Systems for Enhanced Overground Rehabilitation\n\nThis submission pr
 esents an embodied mixed reality system for overground lower limb rehabili
 tation that integrates clinical safety infrastructure, task‑based interact
 ion design, and preliminary patient results, demonstrating strong usabilit
 y, engagement, and early functional gains, while layin...\n\n\nJeremy Varg
 hese (State University of New York at Albany); Aishwari Talhan (The Resear
 ch Foundation at University atAlbany (SUNY); College of Nanotech, Science,
  and Engineering, UAlbany); Amy Teale (Saint Peters Health Partners); and 
 Thenkurussi Kesavadas (State University of New York at Albany)\n----------
 -----------\n47. Fading Peach Blossom Spring: A Perspective-Shifting VR Na
 rrative with Reactive 3D Gaussian Splatting\n\nWe present an interactive V
 R narrative using 3DGS as a reactive medium. By integrating generative AI 
 with a particle-based pipeline, we enable real-time, irreversible environm
 ental dissolution triggered by user touch. This work explores agency-drive
 n storytelling and the emotional impact of interven...\n\n\nSirui Xiao, Zi
 han Gao, and Xin Lyu (Communication University of China)\n----------------
 -----\n48. Gestural control of quantum information in virtual reality\n\nT
 his study presents an immersive quantum interface that reimagines the qubi
 t as an interactive, navigable Bloch sphere. Using hand tracking and a Qis
 kit-driven backend, users manipulate quantum states and execute logic gate
 s in real time, translating abstract quantum computation into an intuitive
  em...\n\n\nHsin-Chia Chang, Hsing-Chen Lang, Ivan C. H. Liu, and Min-En C
 hou (National Yang Ming Chiao Tung University)\n---------------------\n49.
  GraspAuto: Real-Time Single-Tap Grasp Authoring for VR/AR Experiences\n\n
 GraspAuto is a real-time single-tap grasp generator for VR that synthesize
 s realistic and diverse hand grasps on novel 3D objects from a single gest
 ure, with no per-grasp motion capture and no manual joint tuning, fast eno
 ugh to power both authoring tools and live in-headset synthesis.\n\n\nQING
 XUAN YAN (Cornell Tech, Cornell University) and Xiang Chang (HKUST, Cornel
 l University)\n---------------------\n50. Prism: A Multimodal XR Assistant
  for Spatial Imaging Workflows in Interventional Radiology\n\nPrism is an 
 XR application for interventional radiology that renders DICOM medical ima
 ging as interactive cross-sectional models and ray-cast volumes within a t
 ouch-free, voice-controlled spatial workspace—letting clinicians measure a
 nd inspect anatomy without leaving the sterile field, and sh...\n\n\nChung
 -Ta Huang (Harvard University), Ezekiel D’Ascoli (Smartleaf Inc), Binyan X
 u (Northeastern University), Jenny Wang (MedVR), and Min Lang and Raul N. 
 Uppot (Harvard Medical School)\n---------------------\n51. See/Saw: Embodi
 ed Probing of Vision Transformer Attention in Virtual Reality\n\nSee/Saw i
 s a VR system that paints a frozen vision transformer's patch groupings an
 d attention onto the 3D surfaces a user aims at in a photorealistic scene,
  so that turning and walking re-tokenizes the view and the painted regions
  visibly redraw on the geometry the model saw.\n\nINVITED TO THE FIRST ...
 \n\n\nZiyan Xie and Sihui Lin (University of California Los Angeles)\n----
 -----------------\n52. See What I Hear, Hear What You See: Asymmetric Cros
 s-Modal Play in a  Cooperative VR Game\n\nThis study investigates asymmetr
 ic cross-modal interaction in a cooperative VR game where sensory roles di
 ffer between players, using a two-player prototype showing visual experien
 ced higher engagement while auditory players gained deeper reflection, sug
 gesting such asymmetry creates complementary, ...\n\n\nNahomi Maki, Keita 
 Kanai, and Taruto Fuyama (Tokyo University of the Arts)\n-----------------
 ----\n53. Taste as Form: Real-time Crossmodal Visualization of Eating Expe
 riences in Mixed Reality\n\nTaste as Form is a mixed reality system explor
 ing what humans share in how they perceive food. Using AI-based food analy
 sis and sEMG chewing signals, the system maps taste and texture attributes
  to dynamic visual forms, creating an embodied feedback loop between eatin
 g behavior and visual experience...\n\n\nQingzhu Zhang (University of Cali
 fornia Berkeley) and Yunting Zhao (Independent Practice)\n\nRegistration C
 ategory: Full Conference Supporter, Full Conference, Experience
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