Web Science and Digital Libraries Research Group

Fig. 1: The Workflow of Object Detection and Segmentation for Dynamic AOI Filtering and Eye Movement Processing. Most of the eye-tracking experiments involve areas of interests (AOIs) for the analysis of eye gaze data. It is because people only attend to a few areas in a given stimulus and an analysis of eye movements within them can provide important clues to the underlying physiological functions supporting the allocation of visual attention resources. For instance, in user interface interaction, the number of fixations within a user interface component indicates the efficiency of finding that component among others. Analysis of eye movements is mostly done within static AOIs though analysis of eye movements using dynamic AOIs, such as in videos, has recently gained traction. One such example is visual and statistical analysis of viewers’ experience using eye movement data on video feeds. One potential application of dynamic AOIs is dynamically controlled magnification around the cen

Figure 1: A participant reading the research paper  wearing the PupilLabs Core eye tracker.  Scientific literature gives novel research ideas as well as solutions to various problems. When it comes to scientific literature, reading pattern vary from one person to another. Common reading patterns may exist among researchers having similar expertise in a particular area, novice researchers may have different reading patterns compared to more experienced researchers. We can expect a difference in reading patterns in terms of scan paths and pupillary activity. The ability to seek information from different sections of research papers determines the reading process of a researchers. Some researchers read the research papers starting from the beginning of the research paper till the end, whereas others read them in a different order than presented. One way to read a research paper is the  three-pass approach . Researchers also tend to change their reading patterns over time as they f