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."
Teaching A Brand-New UX Research Course at UMass Amherst
I designed a course for undergraduate CS and Informatics students to learn about human-centered design, experimental design, data analysis, and data communication.
More info can be found here.
Honorable Mention Paper at CHI 2022
Icon arrays and perceptual bias. Sounds interesting, right?
With the mid-term election coming up, it's important to be aware of the perceptual biases that may exist when making sense of probabilistic information.
Our session is Tuesday 11am ET, in the Visual Perception & Exploration session.
Giving a Talk at the 16th People Analytics Conference
At the end of the day, the success of any analytics function depends heavily on the ability to effectively communicate results to the HR team and business leaders. I speak about how we can leverage the power of our visual perceptual system to more effectively communicate data using data visualizations.