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ORCIDMatthew Kay 0001
Person information
- affiliation: Northwestern University, Evanston, IL, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
- affiliation (former): University of Washington, Seattle, WA, USA
- affiliation (former): University of Waterloo, ON, Canada
Other persons with the same name
- Matthew Kay 0002 — Talem Health Analytics
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2020 – today
- 2024
[j19]Taewook Kim
, Hyeok Kim, Angela C. Roberts, Maia L. Jacobs, Matthew Kay:
Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-26 (2024)- [j18]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): 23-33 (2024) - [j17]Matthew Kay:
ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics. IEEE Trans. Vis. Comput. Graph. 30(1): 414-424 (2024) - [j16]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): 628-637 (2024) - [j15]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): 1756-1771 (2024) - [c47]Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung:
Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. CHI 2024: 31:1-31:16 - [c46]Sheng Long, Matthew Kay:
To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. CHI 2024: 207:1-207:12 - [c45]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: 389:1-389:24 - [c44]Lily W. Ge, Matthew W. Easterday, Matthew Kay, Evanthia Dimara, Peter C.-H. Cheng, Steven L. Franconeri:
V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy. CHI 2024: 390:1-390:15 - [c43]Mandi Cai, Matthew Kay:
Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections. CHI 2024: 391:1-391:19 - [c42]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: 494:1-494:7 - [c41]Lonni Besançon, Florian Echtler, Matthew Kay, Chat Wacharamanotham:
Experimenting with new review methods, open practices, and interactive publications in HCI. CHI Extended Abstracts 2024: 579:1-579:4 - [c40]Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay:
Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. CHI 2024: 607:1-607:15 - [c39]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: 1034:1-1034:14 - [i8]Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung:
Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. CoRR abs/2403.00439 (2024) - [i7]Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman:
VMC: A Grammar for Visualizing Statistical Model Checks. CoRR abs/2408.16702 (2024) - 2023
- [j14]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): 602-612 (2023) - [c38]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: 148:1-148:15 - [c37]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: 470:1-470:16 - [c36]Lily W. Ge, Yuan Cui, Matthew Kay:
CALVI: Critical Thinking Assessment for Literacy in Visualizations. CHI 2023: 815:1-815:18 - [c35]Fumeng Yang, Maryam Hedayati, Matthew Kay:
Subjective Probability Correction for Uncertainty Representations. CHI 2023: 836:1-836:17 - [c34]Xiaoying Pu, Matthew Kay:
How Data Analysts Use a Visualization Grammar in Practice. CHI 2023: 840:1-840:22 - [i6]Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay:
Adaptive Assessment of Visualization Literacy. CoRR abs/2308.14147 (2023) - [i5]Taewook Kim, Hyeok Kim, Angela C. Roberts, Maia L. Jacobs, Matthew Kay:
Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. CoRR abs/2311.10912 (2023) - 2022
- [j13]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): 402-426 (2022) - [i4]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 abs/2212.10533 (2022) - 2021
- [j12]Alex Kale, Matthew Kay, Jessica Hullman:
Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. 27(2): 272-282 (2021) - [j11]Brian D. Ondov, Fumeng Yang, Matthew Kay, Niklas Elmqvist, Steven Franconeri:
Revealing Perceptual Proxies with Adversarial Examples. IEEE Trans. Vis. Comput. Graph. 27(2): 1073-1083 (2021) - [c33]Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan:
Special Interest Group on Visualization Grammars. CHI Extended Abstracts 2021: 162:1-162:3 - [c32]Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock:
An Aligned Rank Transform Procedure for Multifactor Contrast Tests. UIST 2021: 754-768 - [i3]Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock:
An Aligned Rank Transform Procedure for Multifactor Contrast Tests. CoRR abs/2102.11824 (2021) - 2020
- [c31]Xiaoying Pu, Matthew Kay:
A Probabilistic Grammar of Graphics. CHI 2020: 1-13 - [c30]Abhraneel Sarma, Matthew Kay:
Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis. CHI 2020: 1-12 - [c29]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: 340-349 - [e1]Anastasia Bezerianos, Kyle Wm. Hall, Samuel Huron, Matthew Kay, Miriah Meyer, Michael Sedlmair:
IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2020, Salt Lake City, UT, USA, October 25-30, 2020. IEEE 2020, ISBN 978-1-7281-9642-8 [contents] - [i2]Alex Kale, Matthew Kay, Jessica Hullman:
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR abs/2007.14516 (2020)
2010 – 2019
- 2019
- [j10]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): 124-155 (2019) - [j9]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): 892-902 (2019) - [j8]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): 903-913 (2019) - [c28]Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier:
Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. CHI 2019: 65 - [c27]Alex Kale, Matthew Kay, Jessica Hullman:
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI 2019: 202 - [c26]Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick:
Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. CHI 2019: 479 - [c25]Xiaoying Pu, Licheng Zhu, Matthew Kay, Frederick Conrad:
Designing for Preregistration: A User-Centered Perspective. CHI Extended Abstracts 2019 - [i1]Alex Kale, Matthew Kay, Jessica Hullman:
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR abs/1901.02957 (2019) - 2018
- [j7]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): 446-456 (2018) - [c24]Xiaoying Pu, Matthew Kay:
The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper. BELIV 2018: 37-45 - [c23]Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay:
Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. CHI 2018: 144 - [c22]Chat Wacharamanotham, Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic:
Special Interest Group on Transparent Statistics Guidelines. CHI Extended Abstracts 2018 - 2017
- [j6]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): 74-84 (2017) - [j5]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): 5-8 (2017) - [c21]Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham:
Moving Transparent Statistics Forward at CHI. CHI Extended Abstracts 2017: 534-541 - [c20]Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer:
Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts 2017: 593-600 - [c19]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: 6837-6849 - 2016
- [b1]Matthew Kay:
Designing for User-facing Uncertainty in Everyday Sensing and Prediction. University of Washington, USA, 2016 - [j4]Matthew Kay, Jeffrey Heer:
Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation. IEEE Trans. Vis. Comput. Graph. 22(1): 469-478 (2016) - [c18]Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic:
Special Interest Group on Transparent Statistics in HCI. CHI Extended Abstracts 2016: 1081-1084 - [c17]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: 4521-4532 - [c16]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: 5092-5103 - [c15]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: 178-189 - [c14]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: 465-477 - 2015
- [c13]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: 347-356 - [c12]Matthew Kay, Cynthia Matuszek, Sean A. Munson:
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI 2015: 3819-3828 - [c11]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: 121-132 - 2014
- [j3]Matthew Kay:
Challenges in personal health tracking: the data isn't enough. XRDS 21(2): 32-37 (2014) - [c10]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: 123-126 - [c9]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: 673-678 - 2013
- [j2]Sidhant Gupta, Matthew Kay:
Ubicomp 2012 Conference Report. IEEE Pervasive Comput. 12(1): 88-91 (2013) - [c8]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: 401-410 - [c7]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: 248-251 - 2012
- [j1]Matthew Kay, Dimitris Mitropoulos, Wolfgang Richter, Lora Oehlberg, Lea Rosen:
Blogs. XRDS 19(1): 11-13 (2012) - [c6]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: 226-234 - 2010
- [c5]Michael A. Terry, Matthew Kay, Ben Lafreniere:
Perceptions and practices of usability in the free/open source software (FoSS) community. CHI 2010: 999-1008 - [c4]Matthew Kay, Michael A. Terry:
Communicating software agreement content using narrative pictograms. CHI Extended Abstracts 2010: 2715-2724 - [c3]Matthew Kay, Michael A. Terry:
Textured agreements: re-envisioning electronic consent. SOUPS 2010
2000 – 2009
- 2009
- [c2]Matthew Kay, Michael A. Terry:
Textured agreements: re-envisioning electronic consent. SOUPS 2009 - 2008
- [c1]Michael A. Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park:
Ingimp: introducing instrumentation to an end-user open source application. CHI 2008: 607-616
Coauthor Index
Jessica Hullman
aka: Jessica R. Hullman
aka: Jessica R. Hullman
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last updated on 2024-10-17 20:23 CEST by the dblp team
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