| 2026 | CHI | Through a Live Elections Dashboard, Darkly: Managing Expectations and Trust in Progressive Vote Counting During the 2024 U.S. Election. | Mandi Cai, Grace Wang, Chloe Rose Mortenson, Fumeng Yang, Erik C. Nisbet, Matthew Kay |
| 2026 | CHI | Codesigning Ripplet: an LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows. | Yuan Cui, Annabel Marie Goldman, Jovy Zhou, Xiaolin Liu, Clarissa M. Shieh, Joshua Yao, Mia Lillian Cheng, Matthew Kay, Fumeng Yang |
| 2026 | CHI | Inoculating Against Visualization Misinformation Through Gamification. | Lily W. Ge, Michael S. Horn, Matthew Kay |
| 2026 | CHI | Data Literacy for the 21st Century: Perspectives from Visualization, Cognitive Science, Artificial Intelligence, and Education. | Lily W. Ge, Michael S. Horn, Duri Long, Judith E. Fan, Matthew Kay |
| 2025 | AIED | Adaptive, Scalable, and Human-Centered Technology for Data Visualization Literacy and Educational Assessment Development. | Yuan Charles Cui, Fumeng Yang, Matthew Kay |
| 2025 | CHI | AVEC: An Assessment of Visual Encoding Ability in Visualization Construction. | Lily W. Ge, Yuan Cui, Matthew Kay |
| 2025 | CHI | Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. | Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman |
| 2025 | CHI | More Forecasts, More (Decision) Problems: How Uncertainty Representations for Multiple Forecasts Impact Decision Making. | Abhraneel Sarma, Maryam Hedayati, Matthew Kay |
| 2024 | CHI | Experimenting with new review methods, open practices, and interactive publications in HCI. | Lonni Besanon, Florian Echtler, Matthew Kay, Chat Wacharamanotham |
| 2024 | CHI | Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections. | Mandi Cai, Matthew Kay |
| 2024 | CHI | V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy. | Lily W. Ge, Matthew W. Easterday, Matthew Kay, Evanthia Dimara, Peter C.-H. Cheng, Steven L. Franconeri |
| 2024 | CHI | Toward a More Comprehensive Understanding of Visualization Literacy. | Lily W. Ge, Maryam Hedayati, Yuan Cui, Yiren Ding, Karen Bonilla, Alark Joshi, Alvitta Ottley, Benjamin Bach, Bum Chul Kwon, David N. Rapp, Evan M. Peck, Lace M. K. Padilla, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay |
| 2024 | CHI | Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. | Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung |
| 2024 | CHI | To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. | Sheng Long, Matthew Kay |
| 2024 | CHI | Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. | Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay |
| 2024 | CHI | Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. | Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Michael Correll, Eli T. Brown, Matthew Kay |
| 2024 | CHI | In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time. | Fumeng Yang, Chloe Rose Mortenson, Erik C. Nisbet, Nicholas Diakopoulos, Matthew Kay |
| 2023 | CHI | CALVI: Critical Thinking Assessment for Literacy in Visualizations. | Lily W. Ge, Yuan Cui, Matthew Kay |
| 2023 | CHI | How Data Analysts Use a Visualization Grammar in Practice. | Xiaoying Pu, Matthew Kay |
| 2023 | CHI | "It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. | Shriti Raj, Toshi Gupta, Joyce M. Lee, Matthew Kay, Mark W. Newman |
| 2023 | CHI | multiverse: Multiplexing Alternative Data Analyses in R Notebooks. | Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay |
| 2023 | CHI | Subjective Probability Correction for Uncertainty Representations. | Fumeng Yang, Maryam Hedayati, Matthew Kay |
| 2022 | FlAIRS | Estimating Automobile Crash Characteristics from Images using Deep Learning. | Daniel Silver, Hardik Manek, Matthew Kay, Paul Travis |
| 2021 | CHI | Special Interest Group on Visualization Grammars. | Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan |
| 2021 | UIST | An Aligned Rank Transform Procedure for Multifactor Contrast Tests. | Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock |
| 2020 | CHI | A Probabilistic Grammar of Graphics. | Xiaoying Pu, Matthew Kay |
| 2020 | CHI | Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis. | Abhraneel Sarma, Matthew Kay |
| 2020 | LAK | How patterns of students dashboard use are related to their achievement and self-regulatory engagement. | Fatemeh Salehian Kia, Stephanie D. Teasley, Marek Hatala, Stuart A. Karabenick, Matthew Kay |
| 2019 | CHI | Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. | Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier |
| 2019 | CHI | Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. | Alex Kale, Matthew Kay, Jessica Hullman |
| 2019 | CHI | Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. | Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick |
| 2019 | CHI | Designing for Preregistration: A User-Centered Perspective. | Xiaoying Pu, Licheng Zhu, Matthew Kay, Frederick Conrad |
| 2018 | CHI | Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. | Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay |
| 2018 | CHI | Special Interest Group on Transparent Statistics Guidelines. | Chat Wacharamanotham, Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic |
| 2017 | CHI | Designing for Uncertainty in HCI: When Does Uncertainty Help? | Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer |
| 2017 | CHI | Moving Transparent Statistics Forward at CHI. | Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham |
| 2017 | CHI | Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. | Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler |
| 2016 | CHI | Special Interest Group on Transparent Statistics in HCI. | Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic |
| 2016 | CHI | When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. | Matthew Kay, Tara Kola, Jessica R. Hullman, Sean A. Munson |
| 2016 | CHI | Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. | Matthew Kay, Gregory L. Nelson, Eric B. Hekler |
| 2015 | CHI | Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. | Matthew Kay, Cynthia Matuszek, Sean A. Munson |
| 2015 | CHI | How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy. | Matthew Kay, Shwetak N. Patel, Julie A. Kientz |
| 2014 | CHI | Biological rhythms and technology. | Mark Matthews, Erin H. C. Carroll, Saeed Abdullah, Jaime Snyder, Matthew Kay, Tanzeem Choudhury, Geri Gay, Julie A. Kientz |
| 2010 | CHI | Communicating software agreement content using narrative pictograms. | Matthew Kay, Michael A. Terry |
| 2010 | CHI | Perceptions and practices of usability in the free/open source software (FoSS) community. | Michael A. Terry, Matthew Kay, Ben Lafreniere |
| 2010 | SOUPS | Textured agreements: re-envisioning electronic consent. | Matthew Kay, Michael A. Terry |
| 2009 | SOUPS | Textured agreements: re-envisioning electronic consent. | Matthew Kay, Michael A. Terry |
| 2008 | CHI | Ingimp: introducing instrumentation to an end-user open source application. | Michael A. Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park |