2027's workshops are:

• ACE-XR - AI-Augmented 3D Sketching in Extended Reality
  Main contact: Mayra D. Barrera Machuca, mbarrera@ucalgary.ca
  Abstract: TBD
  Website: TBD

• AICIT - AI, Creativity, and Immersive Technology
  Main contact: Annie Wan, annie.wan@ubc.ca
  Abstract: TBD
  Website: TBD

• AIGazeXR - AI-Enhanced Eye Tracking and Gaze Interaction in Extended Reality
  Main contact: Hai-Ning Liang, hainingliang@hkust-gz.edu.cn
  Abstract: As eye tracking becomes central to XR applications ranging from adaptive interfaces to foveated rendering and accessibility, the AIGazeXR workshop brings together researchers in eye tracking, machine learning, computer vision, XR interaction, multimodal interfaces, and HCI to explore how AI can make gaze data more reliable, interpretable, and usable. By examining the entire gaze-interaction loop, from signal processing and behavior prediction to intelligent interaction and evaluation, the workshop aims to connect algorithmic advancements with tangible, human-centered outcomes, seeking work that demonstrates how learning-based methods enhance the usability, adaptability, and overall impact of gaze-enabled XR systems.
  Website: https://aigazexr.github.io/

• Healthcare Intelligence and eXtended Reality
  Main contact: Nitesh Bhatia, nibhatia@dubaihealth.ae
  Abstract: TBD
  Website: TBD

• Sense-XR - Sensing and Generative AI for Human-Aware Extended Reality
  Main contact: Naimul Khan, n77khan@torontomu.ca
  Abstract: SENSE-XR examines how physiological and behavioural sensing can inform adaptive and generative extended reality. Signals such as EEG, heart rate, gaze, speech, and body motion can support estimates of attention, workload, affect, and intent, which can guide changes to virtual environments and interactions. The workshop welcomes research on sensing, user-state modelling, generative content, closed-loop systems, and evaluation, including contributions to individual components. Topics include multimodal uncertainty, latency, personalization, privacy, and user agency, with applications in education, training, healthcare, rehabilitation, games, and immersive storytelling. Research presentations, demonstrations, and discussion will examine methods for developing and evaluating XR systems that respond to users in real time.
  Website: https://sense-xr.github.io/

• XRiM - XR Technologies in Museums
  Main contact: Agata Marta Soccini, agatamarta.soccini@unito.it
  Abstract: Museums have always been attractive and unique places where people learn from various exhibits, displays, samples, and special devices. Although recent smartphones, PCs, and game consoles are very powerful, there should be solid differences between experiences with daily equipment and those in museums full of special-purpose devices. Our workshop aims to showcase a wide range of excellent designs, implementations, experimental results, and case studies. We encourage papers that extend the ability of museums to enhance people’s experiences in museums with a range of XR/AR/VR/MR and related technologies. We also believe in artwork as the core entity of the museum experience, supporting the development of ART that leverages AI and XR. We therefore encourage submissions of ART papers.
  Website: https://xrim.work/AIxVR2027/

• XRobot - Workshop on Extended Reality (XR) and Robotics
  Main contact: Natasha Banerjee, natasha.banerjee@wright.edu
  Abstract: With the recent advances of AI in the field of robotics, more and more data is needed in order to train foundation models. Extended reality (XR) provides a tool to collect large-scale and realistic data without the requirement of expensive equipment and risks of real-world experiments, while enabling robotic systems to learn from the XR data. XRobot focuses on how XR can support AI-powered robotic applications through simulation, digital twins, immersive teleoperation, and Human-Robot Interaction. The workshop will discuss methods for leveraging XR to collect uni-/multimodal data for safe and efficient robot training. The workshop will also discuss the gaps between XR simulation and real-world robotic applications. Topics of interest include, but are not limited to: XR for large-scale data collection and synthetic dataset generation in robotics; simulation-to-reality transfer and closing the sim-to-real gap; digital twins for robot design, testing, and deployment; XR interfaces for immersive teleoperation and remote robot control; Human-Robot Interaction (HRI) through XR; multimodal learning from XR data (e.g., vision, language, tactile, audio); safety, ethics, and reproducibility in XR-based robotics research; applications of XR in industrial, medical, service, and educational robotics.
  Website: https://tars-home.github.io/xrobot2027/