HAX Lab Univ. of Rhode Island

In Fall 24 we are running a Designing Interactive Systems research course.

Fill-out the form to request a permission number. We would love to have you join!

The Human-Centered Experiential Technologies (HAX) lab follows a user-centered design process to create and maintain public research systems to augment human information interactions. We are human-computer interaction system researchers applying methods from social computing and human-centered AI to create high-quality data and personalized solutions. We continuously improve our real-world systems to attract, motivate, and support everyday users in the wild.

We are currently building new systems and growing the lab! We are open to to collaborations with industry, non-profits, and academia. Please email Shaun if you are a student at URI interested in joining. :)

We are part of the Department of Computer Science and Statistics at the University of Rhode Island (URI). Our research has been supported by and collaborates with The Readability Consortium, Adobe, Google, NASA, the United States Air Force, and Univ. Central Florida.


Digital Reading Rulers: Evaluating Inclusively Designed Rulers for Readers With and Without Dyslexia
Aleena Nickalus, Tianyuan Cai, Zoya Bylinskii, Shaun Wallace
CHI 2023
Web Table Formatting Affects Readability on Mobile Devices
Christopher Tensmeyer, Zoya Bylinski, Tianyuan Cai, Dave B Miller, Ani Nenkova, Aleena Niklaus, Shaun Wallace
WWW 2023
Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability
Tianyuan Cai, Shaun Wallace, Tina Rezvanian, Jonathan Dobres, Bernard Kerr, Samuel Berlow, Jeff Huang, Ben D Sawyer, Zoya Bylinskii
DIS 2022
Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals
Shaun Wallace, Zoya Bylinskii, Jon Dobres, Bernard Kerr, Sam Berlow, Rick Treitman, Kathleen Arpin, Dave B Miller, Jeff Huang, Ben Sawyer
TOCHI 2022
Readability Research: An Interdisciplinary Approach
* 27 co-authors who contributed equally
FnT HCI 2022
The TESS Triple-9 Catalog: 999 uniformly vetted candidate exoplanets
Luca Cacciapuoti, Veselin B. Kostov, Marc Kuchner, Elisa V. Quintana, Knicole D. Colón, Jonathan Brande, Susan E. Mullally, Quadry Chance, Jessie L. Christiansen, John P. Ahlers, Marco Z. Di Fraia, Hugo A. Durantini Luca, Riccardo M. Ienco, Francesco Gallo, Lucas T. de Lima, Michiharu Hyogo, Marc Andrés-Carcasona, Aline U. Fornear, Julien S. de Lambilly, Ryan Salik, John M. Yablonsky, Shaun Wallace, Sovan Acharya
MNRAS 2022
Case Studies on the Motivation and Performance of Contributors Who Verify and Maintain In-Flux Tabular Datasets
Shaun Wallace, Alexandra Papoutsaki, Neilly H. Tan, Hua Guo, Jeff Huang
CSCW 2021
Optimizing Electronic Health Records Through Readability
Rachel V Ball, Dave B Miller, Shaun Wallace, Kathlyn Camargo Macias, Mahmoud Ibrahim, Ernesto Robalino Gonzaga, Olga Karasik, Dekai R Rohlsen-Neal, Sarah Barrientos, Edward A Ross, Abdo Asmar, Ashley M Hughes, Peter A Hancock, Ben D Sawyer
HFES 2021
Sketchy: Drawing Inspiration from the Crowd
Shaun Wallace, Brendan Le, Luis Leiva, Aman Haq, Ari Kintisch, Gabrielle Bufrem, Linda Chang, Jeff Huang
CSCW 2020
Drafty: Enlisting Users to be Editors who Maintain Structured Data
Shaun Wallace, Lucy van Kleunen, Marianne Aubin-Le Quere, Abraham Peterkin, Yirui Huang, Jeff Huang
HCOMP 2017