This academic article by Samantha Aziz and Oleg Komogortsev from Texas State University investigates the privacy risks associated with using eye movement biometrics for cross-platform identity linkage. The study reveals…
Continue readingThis research study explores the use of eye tracking in mapping the eye vergence angle to the depth of real and virtual objects, providing an objective measure of depth perception….
Continue readingThe study proposes a method for evaluating the significance of roadside billboards through videos captured from a driver’s perspective. A new dataset, BillboardLamac, was collected and annotated, consisting of eight…
Continue readingThe article discusses the importance of trust in AI and the need for reliable measurement tools. It suggests using gaze data as a potential tool for assessing trust. The authors…
Continue readingThe study proposes to use gaze data as a reliable and non-invasive tool to measure trust in artificial intelligence (AI) systems. It discusses the design of a virtual reality experiment…
Continue readingThis research paper, published by Marcel Claus, Frouke Hermens, and Stefano Bromuri, discusses a user study of visualisations of spatio-temporal eye tracking data. The study compares four different visualization techniques…
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