Primary supervisor

Sarah Goodwin

Co-supervisors

This is a Winter Student Research Internship ONLY not an honours or minor thesis project at this time.

Please apply here if you are interested in the role before the deadline: 

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

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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. 

    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.