Pupil Labs eye tracking for visualisation experimentation

Primary supervisor

Sarah Goodwin

Co-supervisors

This is a Winter Student Research Internship 2026 advert (and already filled).

However it will convert to honours /minor thesis project after the break. If you are interested in this research as a thesis particularly the 3D component, please contact me. 

(Note that Winter and summer student internships must be  applied for here:

https://www.monash.edu/study/fees-scholarships/scholarships/summer-winter)

__________

 

Background:

In our research we are reimagining the Control Room of the Future, where advanced data tools support better decision-making in complex environments like energy grid operations. A key focus of our research is understanding how operators interact visually with large-scale information displays. To do this, we use eye-tracking technology to capture detailed visual attention patterns, and synchronise it with workstation-level video and researcher notes. 

During our continued research we have developed a toolkit for eye tracking analysis: Gazealytics. We use Gazealytics to support the analysis of eye-tracking data in context. Gazealytics is an open-source visual analytics toolkit for eye-tracking research, available here: https://github.com/gazealytics/gazealytics-master. It can help researchers synchronise and analyse eye-tracking data alongside other data streams such as video recordings and observer notes.

 

    Aim/outline

    Your Role

    We are exploring and testing the use of our new Pupil Labs Neon glasses (https://pupil-labs.com/products/neon/shop?filter=system) as part of this winter internship. During the winter we aim to test capabilities, investigate the 3D mapping of Pupil Labs cloud tools, and investigate the integration of the data into Gazealytics. Ideally we can design and run a short user study. 

    Integration of 3D analysis into Gazealytics may needs some designing and mocking up for future implementation. 

    URLs/references

    Gazealytics - an opensource visual anaysis toolkit for eye tracking data: https://github.com/gazealytics/gazealytics-master

    Our publications behind this is as follows:

    (more researchers are using the toolkit for their analysis - their publications can be found on the github ): 

    Original paper and initial application demonstrating research gap and need: 

    Goodwin, S. et al. (2022) VETA: Visual eye-tracking analytics for the exploration of gaze patterns and behaviours, Visual Informatics, Volume 6, Issue 2, 2022, Pages 1-13, ISSN 2468-502X, https://doi.org/10.1016/j.visinf.2022.02.004.

    (Includes 1 student intern as author) 

    Application paper -  expanding  the tool kit: 

    Chen, K. T., ... & Goodwin, S. (2023). Gazealytics: A Unified and Flexible Visual Toolkit for Exploratory and Comparative Gaze Analysis. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-7). Preprint available at arXiv:2303.17202.

    (Includes 2 prior interns, stayed on as RAs, as authors)

    A short paper focusing on advancing features for our control room study:

    Zhang, Y, ... & Goodwin, S (2025) Streamlining Eye-Tracking and Observational Data for Field Study Visual Analysis. In Proceedings of the 2025 Symposium on Eye Tracking Research and Applications (ETRA '25). Association for Computing Machinery, New York, NY, USA, Article 98, 1–9. https://doi.org/10.1145/3715669.3725880

    (Includes 5 student interns as authors)

    A recent paper evaluating Gazealytics approach:

    K. -T. Chen ... &  Goodwin (2026) "Integrating Visual Analytics into Eye Tracking Workflows: A Longitudinal Field Study," 2026 IEEE 19th Pacific Visualization Conference (PacificVis), Sydney, Australia, 2026, pp. 85-95, doi: 10.1109/PacificVis68791.2026.00015.

    (Includes 1 prior intern, stayed on as RA, as author)

    Required knowledge

    We're looking for a 3rd or final year UG or Masters level software developer / engineer or data scientist, who is passionate about building tools that help people understand complex data.

    Ideally, you have:

    • Interest in eye tracking, new technologies and HCI;
    • Ability to research independently as well as be a team member;
    • Comfortable working with different data formats and multimedia (video) synchronisation;
    • Good JavaScript skills and experience with data visualisation (D3.js or similar) would be useful;
    • Familiarity with GitHub and collaborative coding workflows;
    • At least basic knowledge of research methods.