Web Science and Digital Libraries Research Group

Distributed Eye Tracking Distributed eye tracking refers to a system where eye-tracking technology is utilized across multiple locations. Instead of relying on a single eye-tracking device, distributed eye tracking networks use multiple eye trackers to capture eye movement data of users distributed across multiple locations. Distributed eye tracking expands the possibilities for studying visual attention and focus during collaborative tasks. Real-time visualization of data in a distributed eye tracking system allows us to monitor trends and patterns of eye tracking measures. Eye tracking measures provide informative cues for understanding how individuals visual attention and mental effort during collaborative tasks.  In this blog, I present  A-DisETrac , an advanced analytic dashboard for distributed eye tracking. A-DisEtrac is an extension of our previous work,  DisETrac  and  Gaze Analytics Dashboard . A-DisEtrac uses off-the-shelf eye trackers to mo...

The increasing ubiquity of gaze-aware technologies (commonly referred to as eye trackers)  have enabled assessing patterns in our complex visual interaction with the surrounding world. We can characterize these complex interactions through gaze and pupil signals and extract them through eye trackers. Recent technological advancements in computer vision, image processing, and deep learning have led to the development of eye-trackers with a wide range of utility from consumer to research applications. As a result, gaze-aware technologies have the capability of mass adoption.  Analysis of oculomotor events (left), analysis methods (center), and measures (right) With the increasing utility of eye-tracking measures in human-computer interaction and research, a practitioner needs an aggregate body of knowledge. Our study, Eye Movement and Pupil Measures: A Review , tries to address the requirement by reviewing a selection of relevant prior research studies. For this purpose, we firs...