I am an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and PI in the HCI-VIS Research Group. I received my Ph.D. in Cognitive Psychology from Northwestern University and my undergraduate degrees in Applied Mathematics and Psychology from UCLA.
My research program combines visual perception, cognition, and data visualization. By investigating how humans perceive, interpret, and make decisions from visualized data, I answer questions such as "what are the underlying perceptual and cognitive processes when people make sense of data visualizations?", and "how can we design an effective visualization or tell a good story with data?".
As to how to pronounce my last name...The 'X' makes a "sh" sound so you can pronounce it as "shown," as in "they have shown an eager desire to work with Cindy because her research sounds so interesting."
Giving a Talk at OPAM
Take the same scatterplot and label the axes with different variables. People read different correlation values from the same plot depending on how much they think the labeled variables are correlated.
First Time Chairing A Session!
I'm chairing the Theory, Cognition, and Sensemaking at this year's IEEE VIS Short Papers session, on Thursday, October 29th 🙂 See http://ieeevis.org/year/2020/info/week-at-a-glance for more info.
Two Papers at IEEE VIS 2020
Join us to learn about how aspect-ratio in your bar charts can bias your perception, and how you can use research methods from vision science to study visualizations.
I'm excited to share that our paper "A Design Space of Vision Science Methods for Visualization Research" has won a Best Paper Honourable Mention Award!