Human-Machine Symbiosis in Data Visualization

Explore the cutting-edge research on human-machine symbiosis in data visualization presented by Leo Zhicheng Liu from the University of Maryland in this Stanford seminar. Delve into two main research threads: interactive analysis of event sequence data and visualization authoring through manipulable semantic components. Learn how machines generate visual summaries for user-guided analysis and assist in data binding and example deconstruction for visualization design. Gain insights into enhancing human-machine collaboration in data visualization tasks. Discover the speaker's background, including his role as an assistant professor at the University of Maryland, his previous work at Adobe Research and Stanford University, and his accolades such as an NSF CAREER award and multiple Best Paper Awards from prestigious conferences.