Ingimp: introducing instrumentation to an end-user open source application. - Michael A. Terry; Matthew Kay 001; Brad Van Vugt; Brandon Slack; Terry Park (CHI, 2008)

Textured agreements: re-envisioning electronic consent. - Matthew Kay 001; Michael A. Terry (SOUPS, 2009)

Communicating software agreement content using narrative pictograms. - Matthew Kay 001; Michael A. Terry (CHI Extended Abstracts, 2010)

Perceptions and practices of usability in the free/open source software (FoSS) community. - Michael A. Terry; Matthew Kay 001; Ben Lafreniere (CHI, 2010)

Lullaby: a capture & access system for understanding the sleep environment. - Matthew Kay 001; Eun Kyoung Choe; Jesse Shepherd; Benjamin Greenstein; Nathaniel F. Watson; Sunny Consolvo; Julie A. Kientz (UbiComp, 2012)

Blogs. - Matthew Kay 001; Dimitris Mitropoulos; Wolfgang Richter 001; Lora Oehlberg; Lea Rosen (XRDS, 2012)

There's no such thing as gaining a pound: reconsidering the bathroom scale user interface. - Matthew Kay 001; Dan Morris 001; m. c. schraefel; Julie A. Kientz (UbiComp, 2013)

PVT-touch: Adapting a reaction time test for touchscreen devices. - Matthew Kay 001; Kyle Rector; Sunny Consolvo; Ben Greenstein; Jacob O. Wobbrock; Nathaniel F. Watson; Julie A. Kientz (PervasiveHealth, 2013)

Ubicomp 2012 Conference Report. - Sidhant Gupta; Matthew Kay 001 (IEEE Pervasive Comput., 2013)

Biological rhythms and technology. - Mark Matthews; Erin H. C. Carroll; Saeed Abdullah; Jaime Snyder; Matthew Kay 001; Tanzeem Choudhury; Geri Gay; Julie A. Kientz (CHI Extended Abstracts, 2014)

Disasters in personal informatics: the unpublished stories of failure and lessons learned. - Jon E. Froehlich; Jakob Eg Larsen; Matthew Kay 001; Edison Thomaz (UbiComp Adjunct, 2014)

Challenges in personal health tracking: the data isn't enough. - Matthew Kay 001 (XRDS, 2014)

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. - Matthew Kay 001; Cynthia Matuszek; Sean A. Munson (CHI, 2015)

How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy. - Matthew Kay 001; Shwetak N. Patel; Julie A. Kientz (CHI, 2015)

SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. - Eun Kyoung Choe; Bongshin Lee; Matthew Kay 001; Wanda Pratt; Julie A. Kientz (UbiComp, 2015)

Special Interest Group on Transparent Statistics in HCI. - Matthew Kay 001; Steve Haroz; Shion Guha; Pierre Dragicevic (CHI Extended Abstracts, 2016)

When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. - Matthew Kay 001; Tara Kola; Jessica R. Hullman; Sean A. Munson (CHI, 2016)

Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. - Matthew Kay 001; Gregory L. Nelson; Eric B. Hekler (CHI, 2016)

Cognitive rhythms: unobtrusive and continuous sensing of alertness using a mobile phone. - Saeed Abdullah; Elizabeth L. Murnane; Mark Matthews; Matthew Kay 001; Julie A. Kientz; Geri Gay; Tanzeem Choudhury (UbiComp, 2016)

Mobile manifestations of alertness: connecting biological rhythms with patterns of smartphone app use. - Elizabeth L. Murnane; Saeed Abdullah; Mark Matthews; Matthew Kay 001; Julie A. Kientz; Tanzeem Choudhury; Geri Gay; Dan Cosley (MobileHCI, 2016)

Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation. - Matthew Kay 001; Jeffrey Heer (IEEE Trans. Vis. Comput. Graph., 2016)

Designing for User-facing Uncertainty in Everyday Sensing and Prediction. - Matthew Kay 001 (2016)

Designing for Uncertainty in HCI: When Does Uncertainty Help? - Miriam Greis; Jessica Hullman; Michael Correll; Matthew Kay 001; Orit Shaer (CHI Extended Abstracts, 2017)

Moving Transparent Statistics Forward at CHI. - Matthew Kay 001; Steve Haroz; Shion Guha; Pierre Dragicevic; Chat Wacharamanotham (CHI Extended Abstracts, 2017)

Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. - Jisoo Lee; Erin Walker; Winslow Burleson; Matthew Kay 001; Matthew P. Buman; Eric B. Hekler (CHI, 2017)

Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. - Eun Kyoung Choe; Saeed Abdullah; Mashfiqui Rabbi; Edison Thomaz; Daniel A. Epstein; Felicia Cordeiro; Matthew Kay 001; Gregory D. Abowd; Tanzeem Choudhury; James Fogarty; Bongshin Lee; Mark Matthews; et al. (IEEE Pervasive Comput., 2017)

HOW DO YOU KNOW IF 85% ACCURACY is good enough for your application? - Matthew Kay 001; Shwetak N. Patel; Julie A. Kientz (GetMobile Mob. Comput. Commun., 2017)

The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper. - Xiaoying Pu; Matthew Kay 001 (BELIV, 2018)

Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. - Michael Fernandes; Logan Walls; Sean Munson; Jessica Hullman; Matthew Kay 001 (CHI, 2018)

Special Interest Group on Transparent Statistics Guidelines. - Chat Wacharamanotham; Matthew Kay 001; Steve Haroz; Shion Guha; Pierre Dragicevic (CHI Extended Abstracts, 2018)

Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. - Jessica Hullman; Matthew Kay 001; Yea-Seul Kim; Samana Shrestha (IEEE Trans. Vis. Comput. Graph., 2018)

Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. - Pierre Dragicevic; Yvonne Jansen; Abhraneel Sarma; Matthew Kay 001; Fanny Chevalier (CHI, 2019)

Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. - Alex Kale; Matthew Kay 001; Jessica Hullman (CHI, 2019)

Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. - Chanda Phelan; Jessica Hullman; Matthew Kay 001; Paul Resnick (CHI, 2019)

Designing for Preregistration: A User-Centered Perspective. - Xiaoying Pu; Licheng Zhu; Matthew Kay 001; Frederick Conrad (CHI Extended Abstracts, 2019)

A Patient-Centered Proposal for Bayesian Analysis of Self-Experiments for Health. - Jessica Schroeder; Ravi Karkar; James Fogarty; Julie A. Kientz; Sean A. Munson; Matthew Kay 001 (J. Heal. Informatics Res., 2019)

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. - Jessica Hullman; Xiaoli Qiao; Michael Correll; Alex Kale; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. - Alex Kale; Francis Nguyen; Matthew Kay 001; Jessica Hullman (IEEE Trans. Vis. Comput. Graph., 2019)

A Probabilistic Grammar of Graphics. - Xiaoying Pu; Matthew Kay 001 (CHI, 2020)

Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis. - Abhraneel Sarma; Matthew Kay 001 (CHI, 2020)

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 001 (LAK, 2020)

Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. - Alex Kale; Matthew Kay 001; Jessica Hullman (CoRR, 2020)

Special Interest Group on Visualization Grammars. - Xiaoying Pu; Matthew Kay 001; Steven Mark Drucker; Jeffrey Heer; Dominik Moritz; Arvind Satyanarayan (CHI Extended Abstracts, 2021)

An Aligned Rank Transform Procedure for Multifactor Contrast Tests. - Lisa A. Elkin; Matthew Kay 001; James J. Higgins; Jacob O. Wobbrock (UIST, 2021)

Visual Reasoning Strategies for Effect Size Judgments and Decisions. - Alex Kale; Matthew Kay 001; Jessica Hullman (IEEE Trans. Vis. Comput. Graph., 2021)

Revealing Perceptual Proxies with Adversarial Examples. - Brian D. Ondov; Fumeng Yang; Matthew Kay 001; Niklas Elmqvist; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2021)

A Survey of Tasks and Visualizations in Multiverse Analysis Reports. - Brian D. Hall; Yang Liu; Yvonne Jansen; Pierre Dragicevic; Fanny Chevalier; Matthew Kay 001 (Comput. Graph. Forum, 2022)

CALVI: Critical Thinking Assessment for Literacy in Visualizations. - Lily W. Ge; Yuan Cui; Matthew Kay 001 (CHI, 2023)

How Data Analysts Use a Visualization Grammar in Practice. - Xiaoying Pu; Matthew Kay 001 (CHI, 2023)

"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 001; Mark W. Newman (CHI, 2023)

multiverse: Multiplexing Alternative Data Analyses in R Notebooks. - Abhraneel Sarma; Alex Kale; Michael Jongho Moon; Nathan Taback; Fanny Chevalier; Jessica Hullman; Matthew Kay 001 (CHI, 2023)

Subjective Probability Correction for Uncertainty Representations. - Fumeng Yang; Maryam Hedayati; Matthew Kay 001 (CHI, 2023)

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. - Abhraneel Sarma; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Old Wine in a New Bottle? Analysis of Visual Lineups with Signal Detection Theory Position paper. - Sheng Long; Matthew Kay 001 (BELIV, 2024)

Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies Position Paper. - Abhraneel Sarma; Sheng Long; Michael Correll; Matthew Kay 001 (BELIV, 2024)

Experimenting with new review methods, open practices, and interactive publications in HCI. - Lonni Besançon; Florian Echtler; Matthew Kay 001; Chat Wacharamanotham (CHI Extended Abstracts, 2024)

Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections. - Mandi Cai; Matthew Kay 001 (CHI, 2024)

V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy. - Lily W. Ge; Matthew W. Easterday; Matthew Kay 001; Evanthia Dimara; Peter C.-H. Cheng; Steven L. Franconeri (CHI, 2024)

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; et al. (CHI Extended Abstracts, 2024)

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. - Taewook Kim; Hyomin Han; Eytan Adar; Matthew Kay 001; John Joon Young Chung (CHI, 2024)

To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. - Sheng Long; Matthew Kay 001 (CHI, 2024)

Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. - Abhraneel Sarma; Kyle Hwang; Jessica Hullman; Matthew Kay 001 (CHI, 2024)

Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. - Abhraneel Sarma; Xiaoying Pu; Yuan Cui; Michael Correll; Eli T. Brown; Matthew Kay 001 (CHI, 2024)

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 001 (CHI, 2024)

Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. - Taewook Kim; Hyeok Kim; Angela C. Roberts 001; Maia L. Jacobs; Matthew Kay 001 (Proc. ACM Hum. Comput. Interact., 2024)

Adaptive Assessment of Visualization Literacy. - Yuan Cui; Lily W. Ge; Yiren Ding; Fumeng Yang; Lane Harrison; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2024)

ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics. - Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. - Fumeng Yang; Mandi Cai; Chloe Mortenson; Hoda Fakhari; Ayse D. Lokmanoglu; Jessica Hullman; Steven Franconeri; Nicholas Diakopoulos; Erik C. Nisbet; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2024)

The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. - Russell Davis; Xiaoying Pu; Yiren Ding; Brian D. Hall; Karen Bonilla; Mi Feng; Matthew Kay 001; Lane Harrison (IEEE Trans. Vis. Comput. Graph., 2024)

AVEC: An Assessment of Visual Encoding Ability in Visualization Construction. - Lily W. Ge; Yuan Cui; Matthew Kay 001 (CHI, 2025)

Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. - Sheng Long; Angelos Chatzimparmpas; Emma Alexander; Matthew Kay 001; Jessica Hullman (CHI, 2025)

More Forecasts, More (Decision) Problems: How Uncertainty Representations for Multiple Forecasts Impact Decision Making. - Abhraneel Sarma; Maryam Hedayati; Matthew Kay 001 (CHI, 2025)

Promises and Pitfalls: Using Large Language Models to Generate Visualization Items. - Yuan Cui; Lily W. Ge; Yiren Ding; Lane Harrison; Fumeng Yang; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2025)

VMC: A Grammar for Visualizing Statistical Model Checks. - Ziyang Guo; Alex Kale; Matthew Kay 001; Jessica Hullman (IEEE Trans. Vis. Comput. Graph., 2025)

What University Students Learn In Visualization Classes. - Maryam Hedayati; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Preface. - Tamara Munzner; Niklas Elmqvist; Holger Theisel; Matthew Kay 001; Adam Perer; Tatiana von Landesberger; Jiawan Zhang; Christoph Garth; Chaoli Wang 001; Pierre Dragicevic; Daniel F. Keefe; Filip Sadlo; et al. (IEEE Trans. Vis. Comput. Graph., 2025)

The Backstory to "Swaying the Public": A Design Chronicle of Election Forecast Visualizations. - Fumeng Yang; Mandi Cai; Chloe Mortenson; Hoda Fakhari; Ayse D. Lokmanoglu; Nicholas Diakopoulos; Erik C. Nisbet; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Scaffolding Recursive Divergence and Convergence in Story Ideation. - Taewook Kim; Matthew Kay 001; Yuqian Sun; Melissa Roemmele; Max Kreminski; John Joon Young Chung (CoRR, 2025)