Determining the Optimal Time on X-Ray Analysis for Transportation Security Officers. - Ann E. Speed; Austin Silva; Derek M. Trumbo; David J. Stracuzzi; Christina Warrender; Michael Trumbo; Kristin Divis (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)

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

Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Experimental Design and Methodology. - Glory Emmanuel Aviña; Robert G. Abbott; Cliff Anderson-Bergman; Catherine Branda; Kristin M. Divis; Lucie Jelinkova; Victoria Newton; Emily Pearce; Jon Femling (HCI (14), 2017)

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

Eye Tracking for Dynamic, User-Driven Workflows. - Laura A. McNamara; Kristin M. Divis; J. Daniel Morrow; David Perkins (HCI (14), 2017)

Physiological state in extreme environments. - Glory Emmanuel Aviña; Kristin Divis; Robert G. Abbott (Pervasive Mob. Comput., 2018)

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 Tularosa Study: An Experimental Design and Implementation to Quantify the Effectiveness of Cyber Deception. - Kimberly Ferguson-Walter; Temmie Shade; Andrew Rogers; Elizabeth Niedbala; Michael Trumbo; Kevin Nauer; Kristin Divis; Aaron P. Jones; Angela Combs; Robert G. Abbott (HICSS, 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)

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

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)

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)

Is this nuclear material secure? Examining trust in voice user interfaces for international nuclear safeguards seal examination. - Kristin Divis; Jamie Coram; Breannan C. Howell; Zoe N. Gastelum (HICSS, 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)