Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. - Jamar L. Sullivan Jr.; William Brackenbury; Andrew McNut; Kevin Bryson 002; Kwam Byll; Yuxin Chen 001; Michael L. Littman; Chenhao Tan; Blase Ur (NAACL-HLT, 2022)

Designing Interfaces to Elicit Data Issues for Data Workers. - Kevin Bryson 002 (AIES, 2023)

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists. - Galen Harrison; Kevin Bryson 002; Ahmad Emmanuel Balla Bamba; Luca Dovichi; Aleksander Herrmann Binion; Arthur Borem; Blase Ur (CHI, 2024)

Can Allowlists Capture the Variability of Home IoT Device Network Behavior? - Weijia He; Kevin Bryson 002; Ricardo Calderon; Vijay Prakash; Nick Feamster; Danny Yuxing Huang; Blase Ur (EuroS&P, 2024)

Characterizing the Usability and Usefulness of U.S. Ad Transparency Systems. - Kevin Bryson 002; Arthur Borem; Phoebe Moh; Omer Akgul; Laura Edelson; Tobias Lauinger; Michelle L. Mazurek; Damon McCoy; Blase Ur (SP, 2025)