Working memory load as a novel tool for evaluating visual analytics. - Courtney C. Dornburg; Laura E. Matzen; Travis L. Bauer; Laura A. McNamara (IEEE VAST, 2009)

Evaluating Information Visualizations with Working Memory Metrics. - Alisa Bandlow; Laura E. Matzen; Kerstan S. Cole; Courtney C. Dornburg; Charles J. Gieseler; John A. Greenfield; Laura A. McNamara; Susan M. Stevens-Adams (HCI (22), 2011)

Using Computational Modeling to Assess Use of Cognitive Strategies. - Michael J. Haass; Laura E. Matzen (HCI (20), 2011)

Cultural Neuroscience and Individual Differences: Implications for Augmented Cognition. - Laura E. Matzen (HCI (20), 2011)

A User Study of Visualization Effectiveness Using EEG and Cognitive Load. - Erik W. Anderson; Kristin C. Potter; Laura E. Matzen; Jason F. Shepherd; Gilbert Preston; Cláudio T. Silva (Comput. Graph. Forum, 2011)

Methodology for Knowledge Elicitation in Visual Abductive Reasoning Tasks. - Michael J. Haass; Laura E. Matzen; Susan M. Stevens-Adams; Allen R. Roach (HCI (15), 2015)

Effects of Professional Visual Search Experience on Domain-General and Domain-Specific Visual Cognition. - Laura E. Matzen; Michael J. Haass; Laura A. McNamara; Susan M. Stevens-Adams; Stephanie N. McMichael (HCI (15), 2015)

Ethnographic Methods for Experimental Design: Case Studies in Visual Search. - Laura A. McNamara; Kerstan S. Cole; Michael J. Haass; Laura E. Matzen; J. Daniel Morrow; Susan M. Stevens-Adams; Stephanie N. McMichael (HCI (15), 2015)

Measuring Expert and Novice Performance Within Computer Security Incident Response Teams. - Austin Silva; Glory Emmanuel; Jonathan T. McClain; Laura E. Matzen; J. Chris Forsythe (HCI (15), 2015)

Through a Scanner Quickly: Elicitation of P3 in Transportation Security Officers Following Rapid Image Presentation and Categorization. - Michael C. Trumbo; Laura E. Matzen; Austin Silva; Michael J. Haass; Kristin Divis; Ann E. Speed (HCI (15), 2015)

Information Theoretic Measures for Visual Analytics: The Silver Ticket? - Laura A. McNamara; Travis L. Bauer; Michael J. Haass; Laura E. Matzen (BELIV, 2016)

A new method for categorizing scanpaths from eye tracking data. - Michael J. Haass; Laura E. Matzen; Karin M. Butler; Mika Armenta (ETRA, 2016)

Modeling Human Comprehension of Data Visualizations. - Michael J. Haass; Andrew T. Wilson; Laura E. Matzen; Kristin M. Divis (HCI (10), 2016)

Assessment of Expert Interaction with Multivariate Time Series 'Big Data'. - Susan M. Stevens-Adams; Michael J. Haass; Laura E. Matzen; Saskia King (HCI (14), 2016)

Using Eye Tracking Metrics and Visual Saliency Maps to Assess Image Utility. - Laura E. Matzen; Michael J. Haass; Jonathan Tran; Laura A. McNamara (HVEI, 2016)

Patterns of Attention: How Data Visualizations Are Read. - Laura E. Matzen; Michael J. Haass; Kristin M. Divis; Mallory C. Stites (HCI (14), 2017)

Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations. - Laura E. Matzen; Michael J. Haass; Kristin M. Divis; Zhiyuan Wang; Andrew T. Wilson (IEEE Trans. Vis. Comput. Graph., 2018)

The Impact of Information Presentation on Visual Inspection Performance in the International Nuclear Safeguards Domain. - Laura E. Matzen; Mallory C. Stites; Heidi A. Smartt; Zoe N. Gastelum (HCI (4), 2019)

Effects of Note-Taking Method on Knowledge Transfer in Inspection Tasks. - Mallory C. Stites; Laura E. Matzen; Heidi A. Smartt; Zoe N. Gastelum (HCI (4), 2019)

A Heuristic Approach to Value-Driven Evaluation of Visualizations. - Emily Wall 001; Meeshu Agnihotri; Laura E. Matzen; Kristin Divis; Michael Haass; Alex Endert; John T. Stasko (IEEE Trans. Vis. Comput. Graph., 2019)

A Study of Perceptual and Cognitive Models Applied to Prediction of Eye Gaze within Statistical Graphs. - Mark A. Livingston; Laura E. Matzen; Andre V. Harrison; Alexander Lulushi; Mikaila Daniel; Megan Dass; Derek P. Brock; Jonathan W. Decker (SAP, 2020)

Task Matters When Scanning Data Visualizations. - Laura E. Matzen; Kristin Divis; Deborah Cronin; Michael Haass (CoRR, 2020)

Using Machine Learning to Predict Bilingual Language Proficiency from Reaction Time Priming Data. - Laura E. Matzen; Christina L. Ting; Mallory C. Stites (CogSci, 2021)

Evaluating the Impact of Algorithm Confidence Ratings on Human Decision Making in Visual Search. - Aaron P. Jones; Michael C. Trumbo; Laura E. Matzen; Mallory C. Stites; Breannan C. Howell; Kristin M. Divis; Zoe N. Gastelum (HCI (4), 2021)

Testing the Value of Salience in Statistical Graphs. - Mark A. Livingston; Laura E. Matzen; Derek P. Brock; Andre V. Harrison; Jonathan W. Decker (Visualization and Data Analysis, 2021)

A Method of Developing Video Stimuli that Are Amenable to Neuroimaging Analysis: An EEG Pilot Study. - Michael C. Trumbo; Aaron P. Jones; Bradley M. Robert; Derek M. Trumbo; Laura E. Matzen (HCI (9), 2022)

The Cognitive Effects of Machine Learning Aid in Domain-Specific and Domain-General Tasks. - Kristin Divis; Breannan C. Howell; Laura E. Matzen; Mallory C. Stites; Zoe N. Gastelum (HICSS, 2022)

Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making. - Laura E. Matzen; Breannan C. Howell; Michael C. Trumbo; Kristin M. Divis (IEEE Computer Graphics and Applications, 2023)

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. - Emily Wall 001; Laura E. Matzen; Mennatallah El-Assady; Peta Masters; Helia Hosseinpour; Alex Endert; Rita Borgo; Polo Chau; Adam Perer; Harald T. Schupp; Hendrik Strobelt; Lace M. K. Padilla (PacificVis, 2024)

Effects of Forecast Order, Cost, and Risk on Decision Making with Multiple Forecast Visualizations. - Laura E. Matzen; Mallory C. Stites; Kristin M. Divis; Alexander E. Bendeck; John T. Stasko; Lace M. K. Padilla (UncertaintyVis@VIS, 2024)

Transparent Risks: The Impact of the Specificity and Visual Encoding of Uncertainty on Decision Making. - Laura E. Matzen; Breannan C. Howell; Marie Tuft; Kristin Divis (Comput. Graph. Forum, 2024)

Examining Limits of Small Multiples: Frame Quantity Impacts Judgments With Line Graphs. - Helia Hosseinpour; Laura E. Matzen; Kristin M. Divis; Spencer C. Castro; Lace M. K. Padilla (IEEE Trans. Vis. Comput. Graph., 2025)