Blase Ur - Statistics for HCI Researchers
In this talk, we will provide a high-level overview of the use of statistical testing in quantitative HCI research. We will focus on choosing statistical tests appropriate for different types of experiment designs and types of data, as well as how to characterize conclusions from those tests. No prior knowledge of applied statistics is assumed, but attendees with some prior exposure will stand to gain the most from this seminar. The presenter will give selected examples in R; again, no prior knowledge of R is required.
Speakers
Blase Ur
Blase Ur is an Associate Professor of Computer Science at the University of Chicago, where he researches security, privacy, human-computer interaction, and ethical AI. He directs the UChicago SUPERgroup, which uses data-driven methods to help users make better security and privacy decisions, as well as to improve the usability of complex computer systems. He has received the CRA Undergraduate Research Faculty Mentoring Award (2025), NSF CAREER Award (2021), Quantrell Award for Undergraduate Teaching (2021), six best/distinguished paper awards, and six honorable mention/runner-up paper awards. His research has been covered in the NY Times, Forbes, Ars Technica, and many other venues. He has also received the Allen Newell Award for Research Excellence (2020), SIGCHI Outstanding Dissertation Award (2018), IEEE Cybersecurity Award for Practice (2018), John Karat Award (2016), NDSEG fellowship (2012), and Fulbright scholarship (2010). He holds degrees from Carnegie Mellon University (PhD and MS) and Harvard University (AB).
