Matthew Kay - RankMe

100 papers A* 31A 3B 1Misc 4Journal 41Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Autoethnography on Visualization Literacy: A Wicked Measurement Problem. IEEE Trans. Vis. Comput. Graph. Lily W. Ge, Anne-Flore Cabouat, Karen Bonilla, Yuan Cui, Yiren Ding, Noëlle Rakotondravony, Mackenzie Michael Creamer, Jasmine Tan Otto, Maryam Hedayati, Bum Chul Kwon, Angela Locoro, Lane Harrison, Petra Isenberg, Michael Correll, Matthew Kay
2026	J	`jnl`	Assessing Data Literacy in K-12 Education: Challenges and Opportunities. CoRR Annabel Goldman, Yuan Cui, Matthew Kay
2026	A*	`conf`	Codesigning Ripplet: an LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows. CHI Yuan Cui, Annabel Marie Goldman, Jovy Zhou, Xiaolin Liu, Clarissa M. Shieh, Joshua Yao, Mia Lillian Cheng, Matthew Kay, Fumeng Yang
2026	J	`jnl`	Codesigning Ripplet: an LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows. CoRR Yuan Cui, Annabel Goldman, Jovy Zhou, Xiaolin Liu, Clarissa M. Shieh, Joshua Yao, Mia Lillian Cheng, Matthew Kay, Fumeng Yang
2026	—	`conf`	Data Literacy for the 21st Century: Perspectives from Visualization, Cognitive Science, Artificial Intelligence, and Education. CHI Extended Abstracts Lily W. Ge, Michael S. Horn, Duri Long, Judith E. Fan, Matthew Kay
2026	—	`conf`	Inoculating Against Visualization Misinformation Through Gamification. CHI Extended Abstracts Lily W. Ge, Michael S. Horn, Matthew Kay
2026	J	`jnl`	Personagram: Bridging Personas and Product Design for Creative Ideation with Multimodal LLMs. CoRR Taewook Kim, Matthew K. Hong, Yan-Ying Chen, Jonathan Q. Li, Monica P. Van, Shabnam Hakimi, Matthew Kay, Matthew Klenk
2026	A*	`conf`	Through a Live Elections Dashboard, Darkly: Managing Expectations and Trust in Progressive Vote Counting During the 2024 U.S. Election. CHI Mandi Cai, Grace Wang, Chloe Rose Mortenson, Fumeng Yang, Erik C. Nisbet, Matthew Kay
2025	A*	`conf`	AVEC: An Assessment of Visual Encoding Ability in Visualization Construction. CHI Lily W. Ge, Yuan Cui, Matthew Kay
2025	—	`conf`	Adaptive, Scalable, and Human-Centered Technology for Data Visualization Literacy and Educational Assessment Development. AIED Companion (1) Yuan Charles Cui, Fumeng Yang, Matthew Kay
2025	A*	`conf`	More Forecasts, More (Decision) Problems: How Uncertainty Representations for Multiple Forecasts Impact Decision Making. CHI Abhraneel Sarma, Maryam Hedayati, Matthew Kay
2025	J	`jnl`	Preface. IEEE Trans. Vis. Comput. Graph. Tamara Munzner, Niklas Elmqvist, Holger Theisel, Matthew Kay, Adam Perer, Tatiana von Landesberger, Jiawan Zhang, Christoph Garth, Chaoli Wang, Pierre Dragicevic, Daniel F. Keefe, Filip Sadlo, Ivan Viola, Wenwen Dou, Steffen Koch
2025	J	`jnl`	Promises and Pitfalls: Using Large Language Models to Generate Visualization Items. IEEE Trans. Vis. Comput. Graph. Yuan Cui, Lily W. Ge, Yiren Ding, Lane Harrison, Fumeng Yang, Matthew Kay
2025	J	`jnl`	Scaffolding Recursive Divergence and Convergence in Story Ideation. CoRR Taewook Kim, Matthew Kay, Yuqian Sun, Melissa Roemmele, Max Kreminski, John Joon Young Chung
2025	A*	`conf`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CHI Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CoRR Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	The Backstory to "Swaying the Public": A Design Chronicle of Election Forecast Visualizations. IEEE Trans. Vis. Comput. Graph. Fumeng Yang, Mandi Cai, Chloe Mortenson, Hoda Fakhari, Ayse D. Lokmanoglu, Nicholas Diakopoulos, Erik C. Nisbet, Matthew Kay
2025	J	`jnl`	The State of the Art in Visualization Literacy. CoRR Matthew Varona, Karen Bonilla, Maryam Hedayati, Alark Joshi, Lane Harrison, Matthew Kay, Carolina Nobre
2025	J	`jnl`	Theory is Shapes. CoRR Matthew Varona, Maryam Hedayati, Matthew Kay, Carolina Nobre
2025	J	`jnl`	VMC: A Grammar for Visualizing Statistical Model Checks. IEEE Trans. Vis. Comput. Graph. Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman
2025	J	`jnl`	What University Students Learn In Visualization Classes. IEEE Trans. Vis. Comput. Graph. Maryam Hedayati, Matthew Kay
2025	J	`jnl`	ggtime: A Grammar of Temporal Graphics. CoRR Cynthia A. Huang, Mitchell O'Hara-Wild, Rob J. Hyndman, Matthew Kay
2024	J	`jnl`	Adaptive Assessment of Visualization Literacy. IEEE Trans. Vis. Comput. Graph. Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay
2024	A*	`conf`	Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. CHI Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung
2024	J	`jnl`	Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. CoRR Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung
2024	—	`conf`	Experimenting with new review methods, open practices, and interactive publications in HCI. CHI Extended Abstracts Lonni Besançon, Florian Echtler, Matthew Kay, Chat Wacharamanotham
2024	A*	`conf`	In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time. CHI Fumeng Yang, Chloe Rose Mortenson, Erik C. Nisbet, Nicholas Diakopoulos, Matthew Kay
2024	A*	`conf`	Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. CHI Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay
2024	A*	`conf`	Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. CHI Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Michael Correll, Eli T. Brown, Matthew Kay
2024	—	`conf`	Old Wine in a New Bottle? Analysis of Visual Lineups with Signal Detection Theory Position paper. BELIV Sheng Long, Matthew Kay
2024	J	`jnl`	Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. Proc. ACM Hum. Comput. Interact. Taewook Kim, Hyeok Kim, Angela C. Roberts, Maia L. Jacobs, Matthew Kay
2024	J	`jnl`	Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. IEEE Trans. Vis. Comput. Graph. Fumeng Yang, Mandi Cai, Chloe Mortenson, Hoda Fakhari, Ayse D. Lokmanoglu, Jessica Hullman, Steven Franconeri, Nicholas Diakopoulos, Erik C. Nisbet, Matthew Kay
2024	—	`conf`	Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies Position Paper. BELIV Abhraneel Sarma, Sheng Long, Michael Correll, Matthew Kay
2024	J	`jnl`	The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. IEEE Trans. Vis. Comput. Graph. Russell Davis, Xiaoying Pu, Yiren Ding, Brian D. Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane Harrison
2024	A*	`conf`	To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. CHI Sheng Long, Matthew Kay
2024	—	`conf`	Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts 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	A*	`conf`	V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy. CHI Lily W. Ge, Matthew W. Easterday, Matthew Kay, Evanthia Dimara, Peter C.-H. Cheng, Steven L. Franconeri
2024	J	`jnl`	VMC: A Grammar for Visualizing Statistical Model Checks. CoRR Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman
2024	A*	`conf`	Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. Elections. CHI Mandi Cai, Matthew Kay
2024	J	`jnl`	ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics. IEEE Trans. Vis. Comput. Graph. Matthew Kay
2023	A*	`conf`	"It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. CHI Shriti Raj, Toshi Gupta, Joyce M. Lee, Matthew Kay, Mark W. Newman
2023	J	`jnl`	Adaptive Assessment of Visualization Literacy. CoRR Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane Harrison, Matthew Kay
2023	A*	`conf`	CALVI: Critical Thinking Assessment for Literacy in Visualizations. CHI Lily W. Ge, Yuan Cui, Matthew Kay
2023	J	`jnl`	Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay
2023	A*	`conf`	How Data Analysts Use a Visualization Grammar in Practice. CHI Xiaoying Pu, Matthew Kay
2023	J	`jnl`	Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. CoRR Taewook Kim, Hyeok Kim, Angela C. Roberts, Maia L. Jacobs, Matthew Kay
2023	A*	`conf`	Subjective Probability Correction for Uncertainty Representations. CHI Fumeng Yang, Maryam Hedayati, Matthew Kay
2023	A*	`conf`	multiverse: Multiplexing Alternative Data Analyses in R Notebooks. CHI Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay
2022	J	`jnl`	A Survey of Tasks and Visualizations in Multiverse Analysis Reports. Comput. Graph. Forum Brian D. Hall, Yang Liu, Yvonne Jansen, Pierre Dragicevic, Fanny Chevalier, Matthew Kay
2022	J	`jnl`	The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. CoRR Russell Davis, Xiaoying Pu, Yiren Ding, Brian D. Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane Harrison
2021	A*	`conf`	An Aligned Rank Transform Procedure for Multifactor Contrast Tests. UIST Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock
2021	J	`jnl`	An Aligned Rank Transform Procedure for Multifactor Contrast Tests. CoRR Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock
2021	J	`jnl`	Revealing Perceptual Proxies with Adversarial Examples. IEEE Trans. Vis. Comput. Graph. Brian D. Ondov, Fumeng Yang, Matthew Kay, Niklas Elmqvist, Steven Franconeri
2021	—	`conf`	Special Interest Group on Visualization Grammars. CHI Extended Abstracts Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan
2021	J	`jnl`	Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. Alex Kale, Matthew Kay, Jessica Hullman
2020	A*	`conf`	A Probabilistic Grammar of Graphics. CHI Xiaoying Pu, Matthew Kay
2020	A	`conf`	How patterns of students dashboard use are related to their achievement and self-regulatory engagement. LAK Fatemeh Salehian Kia, Stephanie D. Teasley, Marek Hatala, Stuart A. Karabenick, Matthew Kay
2020	—	`ed.`	IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2020, Salt Lake City, UT, USA, October 25-30, 2020 BELIV Anastasia Bezerianos, Kyle Wm. Hall, Samuel Huron, Matthew Kay, Miriah Meyer, Michael Sedlmair
2020	A*	`conf`	Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis. CHI Abhraneel Sarma, Matthew Kay
2020	J	`jnl`	Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR Alex Kale, Matthew Kay, Jessica Hullman
2019	J	`jnl`	A Patient-Centered Proposal for Bayesian Analysis of Self-Experiments for Health. J. Heal. Informatics Res. Jessica Schroeder, Ravi Karkar, James Fogarty, Julie A. Kientz, Sean A. Munson, Matthew Kay
2019	A*	`conf`	Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI Alex Kale, Matthew Kay, Jessica Hullman
2019	J	`jnl`	Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR Alex Kale, Matthew Kay, Jessica Hullman
2019	—	`conf`	Designing for Preregistration: A User-Centered Perspective. CHI Extended Abstracts Xiaoying Pu, Licheng Zhu, Matthew Kay, Frederick Conrad
2019	J	`jnl`	Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Trans. Vis. Comput. Graph. Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman
2019	J	`jnl`	In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
2019	A*	`conf`	Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. CHI Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier
2019	A*	`conf`	Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. CHI Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick
2018	J	`jnl`	Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Matthew Kay, Yea-Seul Kim, Samana Shrestha
2018	—	`conf`	Special Interest Group on Transparent Statistics Guidelines. CHI Extended Abstracts Chat Wacharamanotham, Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic
2018	—	`conf`	The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper. BELIV Xiaoying Pu, Matthew Kay
2018	A*	`conf`	Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. CHI Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay
2017	—	`conf`	Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer
2017	J	`jnl`	HOW DO YOU KNOW IF 85% ACCURACY is good enough for your application? GetMobile Mob. Comput. Commun. Matthew Kay, Shwetak N. Patel, Julie A. Kientz
2017	—	`conf`	Moving Transparent Statistics Forward at CHI. CHI Extended Abstracts Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic, Chat Wacharamanotham
2017	A*	`conf`	Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. CHI Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler
2017	J	`jnl`	Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. IEEE Pervasive Comput. 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
2016	J	`jnl`	Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation. IEEE Trans. Vis. Comput. Graph. Matthew Kay, Jeffrey Heer
2016	Misc	`conf`	Cognitive rhythms: unobtrusive and continuous sensing of alertness using a mobile phone. UbiComp Saeed Abdullah, Elizabeth L. Murnane, Mark Matthews, Matthew Kay, Julie A. Kientz, Geri Gay, Tanzeem Choudhury
2016	—	`—`	Designing for User-facing Uncertainty in Everyday Sensing and Prediction. Matthew Kay
2016	B	`conf`	Mobile manifestations of alertness: connecting biological rhythms with patterns of smartphone app use. MobileHCI Elizabeth L. Murnane, Saeed Abdullah, Mark Matthews, Matthew Kay, Julie A. Kientz, Tanzeem Choudhury, Geri Gay, Dan Cosley
2016	A*	`conf`	Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. CHI Matthew Kay, Gregory L. Nelson, Eric B. Hekler
2016	—	`conf`	Special Interest Group on Transparent Statistics in HCI. CHI Extended Abstracts Matthew Kay, Steve Haroz, Shion Guha, Pierre Dragicevic
2016	A*	`conf`	When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. CHI Matthew Kay, Tara Kola, Jessica R. Hullman, Sean A. Munson
2015	A*	`conf`	How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy. CHI Matthew Kay, Shwetak N. Patel, Julie A. Kientz
2015	Misc	`conf`	SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. UbiComp Eun Kyoung Choe, Bongshin Lee, Matthew Kay, Wanda Pratt, Julie A. Kientz
2015	A*	`conf`	Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI Matthew Kay, Cynthia Matuszek, Sean A. Munson
2014	—	`conf`	Biological rhythms and technology. CHI Extended Abstracts Mark Matthews, Erin H. C. Carroll, Saeed Abdullah, Jaime Snyder, Matthew Kay, Tanzeem Choudhury, Geri Gay, Julie A. Kientz
2014	J	`jnl`	Challenges in personal health tracking: the data isn't enough. XRDS Matthew Kay
2014	—	`conf`	Disasters in personal informatics: the unpublished stories of failure and lessons learned. UbiComp Adjunct Jon E. Froehlich, Jakob Eg Larsen, Matthew Kay, Edison Thomaz
2013	—	`conf`	PVT-touch: Adapting a reaction time test for touchscreen devices. PervasiveHealth Matthew Kay, Kyle Rector, Sunny Consolvo, Ben Greenstein, Jacob O. Wobbrock, Nathaniel F. Watson, Julie A. Kientz
2013	Misc	`conf`	There's no such thing as gaining a pound: reconsidering the bathroom scale user interface. UbiComp Matthew Kay, Dan Morris, m. c. schraefel, Julie A. Kientz
2013	J	`jnl`	Ubicomp 2012 Conference Report. IEEE Pervasive Comput. Sidhant Gupta, Matthew Kay
2012	J	`jnl`	Blogs. XRDS Matthew Kay, Dimitris Mitropoulos, Wolfgang Richter, Lora Oehlberg, Lea Rosen
2012	Misc	`conf`	Lullaby: a capture & access system for understanding the sleep environment. UbiComp Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel F. Watson, Sunny Consolvo, Julie A. Kientz
2010	—	`conf`	Communicating software agreement content using narrative pictograms. CHI Extended Abstracts Matthew Kay, Michael A. Terry
2010	A*	`conf`	Perceptions and practices of usability in the free/open source software (FoSS) community. CHI Michael A. Terry, Matthew Kay, Ben Lafreniere
2010	A	`conf`	Textured agreements: re-envisioning electronic consent. SOUPS Matthew Kay, Michael A. Terry
2009	A	`conf`	Textured agreements: re-envisioning electronic consent. SOUPS Matthew Kay, Michael A. Terry
2008	A*	`conf`	Ingimp: introducing instrumentation to an end-user open source application. CHI Michael A. Terry, Matthew Kay, Brad Van Vugt, Brandon Slack, Terry Park