Category:
1-min video
Artwork title:
Gaze Trails
Description:
Created in Python using an open-source eye-tracking dataset, this artwork transforms human gaze into a visual landscape. A short video recorded with a Tobii eye tracker in the RMIT Usability Lab is embedded in the piece, revealing how gaze is captured in real time. The video was edited using iMovie. Each coloured line represents the eye-movement trajectory of a different person while reading or searching for information. Though we may look at the same world, we do not see it in the same way. Our gaze reflects our habits, experiences, attention, cognitive states, and even aspects of personality. My research uses eye-tracking signals to better understand how individuals seek information and process knowledge. These insights may support personalised learning and adaptive technologies. Through this artwork, I hope to celebrate the uniqueness of human perception: every gaze follows its own path, and every person experiences the world differently.
Shanika
This is fantastic! Love that even with our gaze, we see the world differently. I am curious if analyses like this will help us design things more effectively to guide the reader through the information we want them to see first (similar to hierarchy in design).
8 Weeks
Yue
Amazing idea. Vamos🤞
15 Weeks
Chen
Amazing work!
15 Weeks
Yao
Wonderful work! 🙂 Very creative and thought-provoking.
15 Weeks
Thomas
Interesting video. 🫢
15 Weeks
Keven
Very interesting video! Keep up the good work
15 Weeks
Marta
Great idea!!
15 Weeks
Meera
This is so good!
13 Weeks
Aparna
So cooool 😍
9 Weeks