Matthew Kay

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 52

Top Topics

Centered Design

Bayesian Analysis

Personal Health

Boltzmann Distribution

Top Venues

IEEE Trans. Vis. Comput. Graph.

CHI Extended Abstracts

Publications

Lily W. Ge, Matthew W. Easterday, Matthew Kay, Evanthia Dimara, Peter Cheng, Steven L. Franconeri
V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy. CHI (2024)
Fumeng Yang, Mandi Cai, Chloe Mortenson, Hoda Fakhari, Ayse D. Lokmanoglu, Jessica Hullman, Steven Franconeri, Nicholas Diakopoulos, Erik C. Nisbet, Matthew Kay
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay
Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. CHI (2024)
Mandi Cai, Matthew Kay
Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections. CHI (2024)
Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Michael Correll, Eli T. Brown, Matthew Kay
Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. CHI (2024)
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
Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts (2024)
Russell Davis, Xiaoying Pu, Yiren Ding, Brian D. Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane Harrison
The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. IEEE Trans. Vis. Comput. Graph. 30 (3) (2024)
Matthew Kay
ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay
Adaptive Assessment of Visualization Literacy. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Lonni Besançon, Florian Echtler, Matthew Kay, Chat Wacharamanotham
Experimenting with new review methods, open practices, and interactive publications in HCI. CHI Extended Abstracts (2024)
Fumeng Yang, Chloe Rose Mortenson, Erik C. Nisbet, Nicholas Diakopoulos, Matthew Kay
In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time. CHI (2024)
Fumeng Yang, Maryam Hedayati, Matthew Kay
Subjective Probability Correction for Uncertainty Representations. CHI (2023)
Shriti Raj, Toshi Gupta, Joyce M. Lee, Matthew Kay, Mark W. Newman
"It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. CHI (2023)
Lily W. Ge, Yuan Cui, Matthew Kay
CALVI: Critical Thinking Assessment for Literacy in Visualizations. CHI (2023)
Xiaoying Pu, Matthew Kay
How Data Analysts Use a Visualization Grammar in Practice. CHI (2023)
Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay
multiverse: Multiplexing Alternative Data Analyses in R Notebooks. CHI (2023)
Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay
Adaptive Assessment of Visualization Literacy. CoRR (2023)
Brian D. Hall, Yang Liu, Yvonne Jansen, Pierre Dragicevic, Fanny Chevalier, Matthew Kay
A Survey of Tasks and Visualizations in Multiverse Analysis Reports. Comput. Graph. Forum 41 (1) (2022)
Russell Davis, Xiaoying Pu, Yiren Ding, Brian D. Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane Harrison
The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. CoRR (2022)
Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan
Special Interest Group on Visualization Grammars. CHI Extended Abstracts (2021)
Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock
An Aligned Rank Transform Procedure for Multifactor Contrast Tests. UIST (2021)
Alex Kale, Matthew Kay, Jessica Hullman
Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Brian D. Ondov, Fumeng Yang, Matthew Kay, Niklas Elmqvist, Steven Franconeri
Revealing Perceptual Proxies with Adversarial Examples. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock
An Aligned Rank Transform Procedure for Multifactor Contrast Tests. CoRR (2021)
Xiaoying Pu, Matthew Kay
A Probabilistic Grammar of Graphics. CHI (2020)
Fatemeh Salehian Kia, Stephanie D. Teasley, Marek Hatala, Stuart A. Karabenick, Matthew Kay
How patterns of students dashboard use are related to their achievement and self-regulatory engagement. LAK (2020)
Abhraneel Sarma, Matthew Kay
Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis. CHI (2020)
Alex Kale, Matthew Kay, Jessica Hullman
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR (2020)
Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick
Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. CHI (2019)
Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier
Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. CHI (2019)
Jessica Schroeder, Ravi Karkar, James Fogarty, Julie A. Kientz, Sean A. Munson, Matthew Kay
A Patient-Centered Proposal for Bayesian Analysis of Self-Experiments for Health. J. Heal. Informatics Res. 3 (1) (2019)
Alex Kale, Matthew Kay, Jessica Hullman
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI (2019)
Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Alex Kale, Matthew Kay, Jessica Hullman
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR (2019)
Xiaoying Pu, Licheng Zhu, Matthew Kay, Frederick Conrad
Designing for Preregistration: A User-Centered Perspective. CHI Extended Abstracts (2019)
Chat Wacharamanotham, Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic
Special Interest Group on Transparent Statistics Guidelines. CHI Extended Abstracts (2018)
Jessica Hullman, Matthew Kay, Yea-Seul Kim, Samana Shrestha
Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Xiaoying Pu, Matthew Kay
The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper. BELIV (2018)
Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay
Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. CHI (2018)
Matthew Kay, Shwetak N. Patel, Julie A. Kientz
HOW DO YOU KNOW IF 85% ACCURACY is good enough for your application? GetMobile Mob. Comput. Commun. 21 (2) (2017)
Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel A. Epstein, Felicia Cordeiro, Matthew Kay, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, Julie A. Kientz
Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. IEEE Pervasive Comput. 16 (1) (2017)
Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham
Moving Transparent Statistics Forward at CHI. CHI Extended Abstracts (2017)
Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer
Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts (2017)
Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler
Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. CHI (2017)
Matthew Kay, Tara Kola, Jessica R. Hullman, Sean A. Munson
When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. CHI (2016)
Elizabeth L. Murnane, Saeed Abdullah, Mark Matthews, Matthew Kay, Julie A. Kientz, Tanzeem Choudhury, Geri Gay, Dan Cosley
Mobile manifestations of alertness: connecting biological rhythms with patterns of smartphone app use. MobileHCI (2016)
Saeed Abdullah, Elizabeth L. Murnane, Mark Matthews, Matthew Kay, Julie A. Kientz, Geri Gay, Tanzeem Choudhury
Cognitive rhythms: unobtrusive and continuous sensing of alertness using a mobile phone. UbiComp (2016)
Matthew Kay, Jeffrey Heer
Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic
Special Interest Group on Transparent Statistics in HCI. CHI Extended Abstracts (2016)
Matthew Kay, Gregory L. Nelson, Eric B. Hekler
Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. CHI (2016)
Eun Kyoung Choe, Bongshin Lee, Matthew Kay, Wanda Pratt, Julie A. Kientz
SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. UbiComp (2015)
Matthew Kay, Shwetak N. Patel, Julie A. Kientz
How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy. CHI (2015)
Matthew Kay, Cynthia Matuszek, Sean A. Munson
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI (2015)
Jon E. Froehlich, Jakob Eg Larsen, Matthew Kay, Edison Thomaz
Disasters in personal informatics: the unpublished stories of failure and lessons learned. UbiComp Adjunct (2014)
Mark Matthews, Erin H. C. Carroll, Saeed Abdullah, Jaime Snyder, Matthew Kay, Tanzeem Choudhury, Geri Gay, Julie A. Kientz
Biological rhythms and technology. CHI Extended Abstracts (2014)
Matthew Kay
Challenges in personal health tracking: the data isn't enough. XRDS 21 (2) (2014)
Matthew Kay, Kyle Rector, Sunny Consolvo, Ben Greenstein, Jacob O. Wobbrock, Nathaniel F. Watson, Julie A. Kientz
PVT-touch: Adapting a reaction time test for touchscreen devices. PervasiveHealth (2013)
Matthew Kay, Dan Morris, m. c. schraefel, Julie A. Kientz
There's no such thing as gaining a pound: reconsidering the bathroom scale user interface. UbiComp (2013)
Sidhant Gupta, Matthew Kay
Ubicomp 2012 Conference Report. IEEE Pervasive Comput. 12 (1) (2013)
Matthew Kay, Dimitris Mitropoulos, Wolfgang Richter, Lora Oehlberg, Lea Rosen
Blogs. XRDS 19 (1) (2012)
Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel F. Watson, Sunny Consolvo, Julie A. Kientz
Lullaby: a capture & access system for understanding the sleep environment. UbiComp (2012)
Michael A. Terry, Matthew Kay, Ben Lafreniere
Perceptions and practices of usability in the free/open source software (FoSS) community. CHI (2010)
Matthew Kay, Michael A. Terry
Communicating software agreement content using narrative pictograms. CHI Extended Abstracts (2010)
Matthew Kay, Michael A. Terry
Textured agreements: re-envisioning electronic consent. SOUPS (2010)
Matthew Kay, Michael A. Terry
Textured agreements: re-envisioning electronic consent. SOUPS (2009)
Michael A. Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park
Ingimp: introducing instrumentation to an end-user open source application. CHI (2008)