3 papers
cs.HC2024
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool
Thomas M. Mercier, Marcin Budka, Bernhard Angele +3
In the study of reading, eye-tracking technology offers unique insights into the time-course of how individuals extract information from text. A significant hurdle in using multi-l…
cs.SI2024
Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network
Michael-Sam Vidza, Marcin Budka, Wei Koong Chai +2
In aquaculture, disease spread models often neglect the dynamic interactions between farms, hindering accuracy. This study enhances the Katz index (KI) to incorporate spatial and t…
cs.CV2024
Dual input stream transformer for vertical drift correction in eye-tracking reading data
Thomas M. Mercier, Marcin Budka, Martin R. Vasilev +3
We introduce a novel Dual Input Stream Transformer (DIST) for the challenging problem of assigning fixation points from eye-tracking data collected during passage reading to the li…