Shaun Wallace
Shaun Wallace Univ. of Rhode Island

I am an Assistant Professor of Computer Science at the University of Rhode Island (URI). I lead the Human-Centered Experiential Technologies lab (HAX). My research starts with Human-Computer Interaction, and combines it with Systems, Data Science, Human-Centered AI, and Social Computing. I build public research systems as products to personalize and augment human information interactions. My research has been supported by The Readability Consortium, Adobe, Google, UCF, and NASA.

I received my PhD in Computer Science from Brown University, advised by Jeff Huang at the Brown HCI Group. I received my masters degree from the University of Limerick in Music Technology. I also received my undergraduate degree from the University of Rhode Island in Management Science and Information Systems. Before joining URI, I worked in industry for over 15 years from junior to lead roles developing full-stack web applications, distributed systems, and data services.


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

Short Papers and Workshops

Generative Primes and Summaries for Reading in Distractive Environments
Tilman Dingler, Namrata Srivastava, Shaun Wallace
AMSWS 2023
Debiased Label Aggregation for Subjective Crowdsourcing Tasks
Shaun Wallace, Tianyuan Cai, Brendan Le, Luis A Leiva
CHI LBW 2022
Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness
Shaun Wallace, Rick Treitman, Jeff Huang, Ben Sawyer, Zoya Bylinskii
CHI LBW 2020