Matthew Kay

According to our database, Matthew Kay authored at least 68 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Lane Harrison

IEEE Trans. Vis. Comput. Graph., March, 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

IEEE Trans. Vis. Comput. Graph., January, 2024

ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics.

Matthew Kay

IEEE Trans. Vis. Comput. Graph., January, 2024

Adaptive Assessment of Visualization Literacy.

Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay

IEEE Trans. Vis. Comput. Graph., January, 2024

Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation.

Taewook Kim, Hyeok Kim, Angela C. Roberts, Maia L. Jacobs, Matthew Kay

Proc. ACM Hum. Comput. Interact., 2024

VMC: A Grammar for Visualizing Statistical Model Checks.

Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman

CoRR, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths.

Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation.

Sheng Long, Matthew Kay

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 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, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections.

Mandi Cai, Matthew Kay

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Experimenting with new review methods, open practices, and interactive publications in HCI.

Lonni Besançon, Florian Echtler, Matthew Kay, Chat Wacharamanotham

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

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

IEEE Trans. Vis. Comput. Graph., 2023

Subjective Probability Correction for Uncertainty Representations.

Fumeng Yang, Maryam Hedayati, Matthew Kay

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

multiverse: Multiplexing Alternative Data Analyses in R Notebooks.

Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 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, Mark W. Newman

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

How Data Analysts Use a Visualization Grammar in Practice.

Xiaoying Pu, Matthew Kay

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

CALVI: Critical Thinking Assessment for Literacy in Visualizations.

Lily W. Ge, Yuan Cui, Matthew Kay

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

A Survey of Tasks and Visualizations in Multiverse Analysis Reports.

Brian D. Hall, Yang Liu, Yvonne Jansen, Pierre Dragicevic, Fanny Chevalier, Matthew Kay

Comput. Graph. Forum, 2022

2021

Revealing Perceptual Proxies with Adversarial Examples.

Brian D. Ondov, Fumeng Yang, Matthew Kay, Niklas Elmqvist, Steven Franconeri

IEEE Trans. Vis. Comput. Graph., 2021

Visual Reasoning Strategies for Effect Size Judgments and Decisions.

Alex Kale, Matthew Kay, Jessica Hullman

IEEE Trans. Vis. Comput. Graph., 2021

An Aligned Rank Transform Procedure for Multifactor Contrast Tests.

Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Special Interest Group on Visualization Grammars.

Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions.

Alex Kale, Matthew Kay, Jessica Hullman

CoRR, 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

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis.

Abhraneel Sarma, Matthew Kay

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

A Probabilistic Grammar of Graphics.

Xiaoying Pu, Matthew Kay

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data.

Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman

IEEE Trans. Vis. Comput. Graph., 2019

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation.

Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay

IEEE Trans. Vis. Comput. Graph., 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

J. Heal. Informatics Res., 2019

Designing for Preregistration: A User-Centered Perspective.

Xiaoying Pu, Licheng Zhu, Matthew Kay, Frederick Conrad

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis.

Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths.

Alex Kale, Matthew Kay, Jessica Hullman

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Increasing the Transparency of Research Papers with Explorable Multiverse Analyses.

Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty.

Jessica Hullman, Matthew Kay, Yea-Seul Kim, Samana Shrestha

IEEE Trans. Vis. Comput. Graph., 2018

Special Interest Group on Transparent Statistics Guidelines.

Chat Wacharamanotham, Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making.

Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper.

Xiaoying Pu, Matthew Kay

Proceedings of the 2018 IEEE Evaluation and Beyond, 2018

2017

HOW DO YOU KNOW IF 85% ACCURACY is good enough for your application?

Matthew Kay, Shwetak N. Patel, Julie A. Kientz

GetMobile Mob. Comput. Commun., 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, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, Julie A. Kientz

IEEE Pervasive Comput., 2017

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

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Moving Transparent Statistics Forward at CHI.

Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Designing for Uncertainty in HCI: When Does Uncertainty Help?

Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Designing for User-facing Uncertainty in Everyday Sensing and Prediction.

Matthew Kay

PhD thesis, 2016

Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation.

Matthew Kay, Jeffrey Heer

IEEE Trans. Vis. Comput. Graph., 2016

Mobile manifestations of alertness: connecting biological rhythms with patterns of smartphone app use.

Elizabeth L. Murnane, Saeed Abdullah, Mark Matthews, Matthew Kay, Julie A. Kientz, Tanzeem Choudhury, Geri Gay, Dan Cosley

Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2016

Cognitive rhythms: unobtrusive and continuous sensing of alertness using a mobile phone.

Saeed Abdullah, Elizabeth L. Murnane, Mark Matthews, Matthew Kay, Julie A. Kientz, Geri Gay, Tanzeem Choudhury

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI.

Matthew Kay, Gregory L. Nelson, Eric B. Hekler

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

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

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Special Interest Group on Transparent Statistics in HCI.

Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors.

Eun Kyoung Choe, Bongshin Lee, Matthew Kay, Wanda Pratt, Julie A. Kientz

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy.

Matthew Kay, Shwetak N. Patel, Julie A. Kientz

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations.

Matthew Kay, Cynthia Matuszek, Sean A. Munson

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

Challenges in personal health tracking: the data isn't enough.

Matthew Kay

XRDS, 2014

Disasters in personal informatics: the unpublished stories of failure and lessons learned.

Jon E. Froehlich, Jakob Eg Larsen, Matthew Kay, Edison Thomaz

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Biological rhythms and technology.

Mark Matthews, Erin H. C. Carroll, Saeed Abdullah, Jaime Snyder, Matthew Kay, Tanzeem Choudhury, Geri Gay, Julie A. Kientz

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

Ubicomp 2012 Conference Report.

Sidhant Gupta, Matthew Kay

IEEE Pervasive Comput., 2013

PVT-touch: Adapting a reaction time test for touchscreen devices.

Matthew Kay, Kyle Rector, Sunny Consolvo, Ben Greenstein, Jacob O. Wobbrock, Nathaniel F. Watson, Julie A. Kientz

Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

There's no such thing as gaining a pound: reconsidering the bathroom scale user interface.

Matthew Kay, Dan Morris, m. c. schraefel, Julie A. Kientz

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

Blogs.

Matthew Kay, Dimitris Mitropoulos, Wolfgang Richter, Lora Oehlberg, Lea Rosen

XRDS, 2012

Lullaby: a capture & access system for understanding the sleep environment.

Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel F. Watson, Sunny Consolvo, Julie A. Kientz

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2010

Perceptions and practices of usability in the free/open source software (FoSS) community.

Michael A. Terry, Matthew Kay, Ben Lafreniere

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Communicating software agreement content using narrative pictograms.

Matthew Kay, Michael A. Terry

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009

Textured agreements: re-envisioning electronic consent.

Matthew Kay, Michael A. Terry

Proceedings of the 5th Symposium on Usable Privacy and Security, 2009

2008

Ingimp: introducing instrumentation to an end-user open source application.

Michael A. Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008