Past Events

Webinar by Dr. Jian Chen on Feb 18, 2022 (4 PM IST)

Title: Visualization, Human-AI Comparison, and Beyond

Abstract: Data-intensive computing is central to so many aspects of society today. Scientists and engineers continue to collect and simulate data that challenge our most sophisticated computational tools. Today's users of data-intensive computing extend well from scientists to the general public. If we want people to make the right decisions with data, we have to get in their heads in a way they understand. Achieving this throughout visualization history has been putting knowledge into a more lifelike framework, more true to our day-to-day experience. Being the audience for a scene isn't so passive, after all. Inside, they're getting ready to see, act, and learn. In this talk, I will (1) briefly introduce my collaborative research efforts on how to leverage human vision for different applications (e.g., brain imaging and quantum physics) and tools we developed; (2) present my research experience on comparing human and artificial intelligence’s ability to interpret charts; and (3) discuss my ongoing project on collecting the largest visualization image data from scholarly articles.

Bio: Jian Chen, Ph.D., is a tenured Associate Professor in the Department of Computer Science and Engineering at The Ohio State University. Her research centers on interactive data visualization, three-dimensional immersive interaction, and computing for social good. She shares several best paper/poster awards with her collaborators. Outside of computer science venues, Chen publishes work in applying visualizations to Brain Science. Her research has been supported by grants from the National Science Foundation, the National Institute of Standards and Technology; the Department of Defense, and industry. Before joining The Ohio State University, Chen was a tenure-track Assistant Professor at the University of Maryland, Baltimore County, and earned University Presidential Teaching Innovation Award. She did post-doctoral work at Brown University jointly with the Departments of Computer Science and Ecology and Evolutionary Biology. Her Ph.D. degree was from Virginia Tech, focusing on immersive design. Outside of research and teaching, she enjoys serving as a paper chair for IEEE VIS 2021 and 2022, a voting member of IEEE Visualization Academy, and the Vice Chair for Conferences on the IEEE Visualization and Graphics Technical Community (VGTC).