Abstract: 

Eye tracking has become a widely used method to analyze user behavior in marketing, neuroscience, human-computer interaction, and visualization research. Apart from measuring completion times and recording accuracy rates of correctly given answers during the performance of visual tasks in classical controlled user experiments, eye tracking-based evaluations provide additional information on how visual attention is distributed and changing for a presented stimulus. Due to the wide field of applications of eye tracking and various kinds of research questions, different approaches have been developed to analyze eye tracking data such as statistical algorithms (either descriptive or inferential), string editing algorithms, visualization-related techniques, and visual analytics techniques. Including it as a part of ODSC will give all the researchers in above mentioned areas to get glimpse of how Eye Tracking and its visualization can help them in their respective research areas.

Bio: 

Ayush Kumar is a senior Ph.D. Candidate from the Computer Science Department, Stony Brook University, New York in Visual Analytics and Imaging Lab. He was a visiting researcher in the Visualization Research Center, University of Stuttgart, Germany. He worked as a researcher in Brookhaven National Lab, New York during his Ph.D. and at AT&T Labs during Summer 2019. His main research interests are Data and Visual Analytics, Data Science, Machine Learning, and Eye Tracking.