University of Maryland
Events
Home / Events

BBL Speaker Series: Designs to Support Better Visual Data Communication


Event Details
  • Date:

Talk Title:  Designs to Support Better Visual Data Communication

Speaker:  Cindy Xiong, Assistant Professor, School of Interactive Computing, Georgia Institute of Technology

Location: HBK 2105 and Zoom

Abstract:  Well-chosen data visualizations can lead to powerful and intuitive processing by a viewer, both for visual analytics and data storytelling. When badly chosen, visualizations leave important patterns opaque or misunderstood. So how can we design an effective visualization? I will share several empirical studies demonstrating that visualization design can influence viewer perception and interpretation of data, referencing methods and insights from cognitive psychology. I leverage these study results to design natural language interfaces that recommend the most effective visualization to answer user queries and help them extract the ‘right’ message from data.

I then identify two challenges in developing such an interface. First, human perception and interpretation of visualizations is riddled with biases, so we need to understand how people extract information from data. Second, natural language queries describing takeaways from visualizations can be ambiguous and thus difficult to interpret and model, so we need to investigate how people use natural language to describe a specific message. I will discuss ongoing and future efforts to address these challenges, providing concrete guidelines for visualization tools that help people more effectively explore and communicate data.

Bio:  Cindy Xiong Bearfield is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. Bridging the fields of psychology and data visualization, Professor Bearfield aims to understand the cognitive and perceptual processes that underlie visual data interpretation and communication. Her research informs the design and development of visualizations and visualization tools that elicit calibrated trust in complex data to facilitate more effective visual data analysis and communication.

She received her Ph.D. in Cognitive Psychology and her MS in Statistics from Northwestern University. Her research at the intersection of human perception, cognition, and data visualization has been recognized with an NSF CAREER award. She has received paper awards at premier psychology and data visualization venues, including ACM CHI, IEEE PacificVis, Psychonomics, and IEEE VIS. She is also one of the founding leaders of VISxVISION (visxvision.com), an initiative dedicated to increasing collaboration between visualization researchers and perceptual + cognitive psychologists.