
Wolfgang Stuerzlinger
Simon Fraser University
w_s@sfu.caIEEE AIxVR 2027 Workshop · Vancouver, Canada
AI-Enhanced Eye Tracking and Gaze Interaction in Extended Reality
25–27 January 2027 · Exact workshop day to be confirmed
Eye tracking is becoming central to XR interaction, from gaze selection and adaptive interfaces to foveated rendering and accessibility. AI can make gaze data more reliable, interpretable, and responsive to the people using it.
AIGazeXR examines the entire gaze-interaction loop: estimation and signal processing, gaze understanding and prediction, intelligent interaction, and evaluation. We welcome work that shows how learning-based methods improve the reliability, adaptability, usability, or human impact of gaze-enabled XR systems.
The workshop brings together researchers in eye tracking, machine learning, computer vision, XR interaction, multimodal interfaces, and HCI. Its aim is to connect algorithmic progress with the outcomes it enables in interactive systems.
Questions about AIGazeXR can be sent to any of the organizers below.

Simon Fraser University
w_s@sfu.ca
HKUST (Guangzhou)
haningliang@hkust-gz.edu.cn
HKUST (Guangzhou)
zhiminghu@hkust-gz.edu.cnWe invite original research and informed positions across four connected themes.
Learning-based gaze estimation and calibration, continuous recalibration, denoising, missing-data recovery, gaze-event detection, uncertainty, user and device correction, and efficient real-time models.
Gaze behavior and target prediction, attention and intention inference, semantic and temporal modeling, personalization, context-aware interpretation, and learning across users, tasks, and environments.
Intelligent selection and manipulation, adaptive dwell and activation, gaze-aware agents, accessibility, and gaze combined with hand, head, speech, touch, body motion, and other inputs.
Benchmarks and evaluation methods, interaction-level outcomes, cross-user and cross-device robustness, latency and accuracy trade-offs, explainability, privacy, user control, datasets, and reproducibility.
Submissions and reviews will use the IEEE AIxVR 2027 EasyChair workshop track. The dedicated link will appear here after the conference creates it.
We welcome research papers and short or position papers that advance AI-enhanced eye tracking and gaze interaction in XR.
Completed or substantially developed work.
Work in progress, emerging ideas, systems, datasets, methods, and research positions.
Each paper considered for the proceedings will receive at least two substantive expert reviews. Invited and organizer-authored papers are subject to the same review standard and conflict-of-interest safeguards.
Workshop proceedings will be included in the conference proceedings, which will be submitted for publication by IEEE Computer Society Press and submitted for inclusion in the IEEE Xplore Digital Library.
Submission and notification dates follow the submitted AIGazeXR proposal. The camera-ready date follows the AIxVR 2027 organizer guide.
AIGazeXR is planned as an in-person, approximately three-hour workshop within the AIxVR 2027 conference program.
We plan to combine peer-reviewed research presentations and short talks with a structured panel and small-group discussion. The discussions will connect advances in gaze sensing and modeling to interaction benefit, adaptation across users and devices, and appropriate user control in intelligent interfaces.
The exact day, duration, and program will be confirmed after the conference assigns the workshop slot. Authors who cannot travel may be able to present remotely under the conference’s participation policy; details will follow the final conference guidance.