Web Science and Digital Libraries Research Group

The 36th AAAI conference was held online between February 28 and March 1, 2022. I co-authored a demo paper titled " A synthetic prediction market for estimating confidence in published work " with my collaborators at Pennsylvania State University and Rutgers University. I also got a paper accepted by the 2nd Workshop on Advances, Resources, Tools, and Challenges of Scientific Document Understanding (SDU) , titled " Segmenting Technical Drawing Figures in US Patents ", with my collaborators at Los Alamos National Laboratory (LANL).  In this blog post, I focus on briefing four papers presented in the SDU workshop held on March 1, 2022, including my paper. Most papers mentioned in this blog post are highly relevant to my research in the field of mining scholarly big data.  1. Segmenting Technical Drawing Figures in US Patents (Hoque et al., ODU & LANL) This is our paper. The goal is to segment compound figures that include multiple subfigures. The paper compared ...

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...