Publications

Matzen, L.E. (2024). Transparent Risks: The Impact of the Specificity and Visual Encoding of Uncertainty on Decision Making [Conference Proceeding]. 10.1111/cgf.15094

Matzen, L.E., Tuft, M., & Tuft, M. (2024). Transparent Risks: The Impact of the Specificity and Visual Encoding of Uncertainty on Decision MakingSupplemental Materials [Conference Proceeding]. 10.1111/cgf.15094

Matzen, L.E. (2024). Cognitive Crosscuts Between Safety, Security, and Safeguards [Conference Presenation]. 10.2172/2540477

Matzen, L.E., Divis, K.M., Rogers, A., Howell, B.C., Haass, M., Cronin, D., & Cronin, D. (2023). Visualization Psychology. https://www.osti.gov/biblio/2480246

Matzen, L.E., Howell, B.C., Trumbo, M.C.S., Divis, K.M., & Divis, K.M. (2023). Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making. IEEE Computer Graphics and Applications, 43(5), pp. 72-82. 10.1109/mcg.2023.3299875

Tuft, M., Sorge, M.A., Polski, A.V., Wisniewski, K.L., Ting, C., Matzen, L.E., & Matzen, L.E. (2023). Building an R Shiny App to Measure the Impact of Transparency and Interactivity on Human Trust in AI [Conference Presenation]. 10.2172/2430490

Zhou, A.E., Field, R.V., Matzen, L.E., Ting, C., & Ting, C. (2023). Applying Compression Metrics to Seismic Data to Assist Analysts [Conference Poster]. 10.2172/2431251

Stites, M.C., Matzen, L.E., Rodhouse, K.N., Howell, B.C., Rogers, A., & Rogers, A. (2023). Using Eye-Tracking to Quantify Reverse Engineering Expertise. 10.2172/2432269

Matzen, L.E., Divis, K.M., & Divis, K.M. (2023). Visualizing Uncertainty: Design Choices Impact Decision Making [Conference Presenation]. 10.2172/2431657

Divis, K.M., Matzen, L.E., Haass, M., Cronin, D., & Cronin, D. (2022). Visualization Psychology. https://www.osti.gov/biblio/2432184

Hosseinpour, H., Padilla, L., Matzen, L.E., & Matzen, L.E. (2022). Impact of small multiples' dataset size on task performance [Conference Poster]. 10.2172/2006170

Gastelum, Z.N., Matzen, L.E., Divis, K.M., Howell, B.C., & Howell, B.C. (2022). Cognitive impacts of computer vision-based decision support for international nuclear safeguards-relevant visual analysis tasks [Conference Presenation]. 10.2172/2005452

Matzen, L.E., Howell, B.C., Trumbo, M.C.S., & Trumbo, M.C.S. (2022). The Impact of Specificity on Human Interpretations of State Uncertainty. 10.2172/1890061

Wisniewski, K.L., Matzen, L.E., Stites, M.C., Ting, C., Tuft, M., Sorge, M.A., & Sorge, M.A. (2022). MIDAS: Modeling Individual Differences using Advanced Statistics. 10.2172/1893241

Gastelum, Z.N., Matzen, L.E., Divis, K.M., Howell, B.C., & Howell, B.C. (2022). Cognitive impacts of computer vision-based decision support for international nuclear safeguards-relevant visual analysis tasks [Conference Paper]. https://www.osti.gov/biblio/2004420

Matzen, L.E. (2022). When Does Seeing Become Believing? Potential Impacts of Model Characteristics and Visual Cues on Human Decisions [Conference Presenation]. 10.2172/2004481

Robert, B., Trumbo, M.C.S., Jones, A., Trumbo, D., Matzen, L.E., & Matzen, L.E. (2022). A Method of Developing Video Stimuli that are Amenable to Neuroimaging Analysis: An EEG Pilot Study [Conference Presenation]. 10.2172/2003766

Trumbo, M.C.S., Jones, A., Robert, B., Trumbo, D., Matzen, L.E., & Matzen, L.E. (2022). A Method of Developing Video Stimuli that Are Amenable to Neuroimaging Analysis: An EEG Pilot Study [Conference Paper]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-031-05457-0_16

Divis, K.M., Howell, B.C., Matzen, L.E., Stites, M.C., Gastelum, Z.N., & Gastelum, Z.N. (2022). The Cognitive Effects of Machine Learning Aid in Domain-Specific and Domain-General Tasks. Proceedings of the Annual Hawaii International Conference on System Sciences, 2022-January, pp. 237-244. 10.24251/HICSS.2022.028

Matzen, L.E. (2021). Research Challenges for Visualizations Involving State Uncertainty [Conference Presenation]. 10.2172/2001585

Matzen, L.E., Stites, M.C., Gastelum, Z.N., & Gastelum, Z.N. (2021). Studying visual search without an eye tracker: an assessment of artificial foveation. Cognitive Research: Principles and Implications, 6(1). https://doi.org/10.1186/s41235-021-00304-2

Matzen, L.E. (2021). Research Challenges for Visualizations of State Uncertainty [Conference Paper]. https://www.osti.gov/biblio/1902611

Leger, M.A., Darling, M.C., Jones, S.T., Matzen, L.E., Stracuzzi, D.J., Wilson, A.T., Bueno, D., Christentsen, M., Ginaldi, M., Foulk, J.W., Heidbrink, S., Howell, B.C., Leger, C., Reedy, G., Rogers, A., Williams, J., & Williams, J. (2021). Exploring Explicit Uncertainty for Binary Analysis (EUBA). 10.2172/1832314

Matzen, L.E., Stites, M.C., Howell, B.C., Gastelum, Z.N., & Gastelum, Z.N. (2021). Different Visualizations of Machine Learning Outputs Influence the Speed and Accuracy of User Evaluations [Conference Paper]. https://www.osti.gov/biblio/1890372

Matzen, L.E., Stites, M.C., Ting, C., Howell, B.C., Wisniewski, K.L., & Wisniewski, K.L. (2021). Physiological Characterization of Language Comprehension. 10.2172/1821528

Gastelum, Z.N., Matzen, L.E., Stites, M.C., Divis, K.M., Howell, B.C., Jones, A., Trumbo, M.C.S., & Trumbo, M.C.S. (2021). Assessing Cognitive Impacts of Errors from Machine Learning and Deep Learning Models: Final Report. 10.2172/1821527

Gastelum, Z.N., Matzen, L.E., Divis, K.M., Stites, M.C., Howell, B.C., & Howell, B.C. (2021). NOT ALL ERRORS ARE CREATED EQUAL: EXAMINING HUMAN-ALGORITHM SYSTEM PERFORMANCE FOR INTERNATIONAL SAFEGUARDS-INFORMED VISUAL SEARCH TASKS [Conference Paper]. https://www.osti.gov/biblio/1882313

Matzen, L.E., Stites, M.C., Howell, B.C., Gastelum, Z.N., & Gastelum, Z.N. (2021). Different Visualizations of Machine Learning Outputs Influence the Speed and Accuracy of User Evaluations [Conference Paper]. https://www.osti.gov/biblio/1888979

Gastelum, Z.N., Matzen, L.E., Divis, K.M., Stites, M.C., Howell, B.C., & Howell, B.C. (2021). Not All Errors Are Created Equal [Conference Presenation]. 10.2172/1888993

Gastelum, Z.N., Divis, K.M., Howell, B.C., Matzen, L.E., Stites, M.C., & Stites, M.C. (2021). User Performance Differences in Domain-General and Domain-Specific Interactions with ML [Presentation]. https://www.osti.gov/biblio/1876992

Gastelum, Z.N., Divis, K.M., Howell, B.C., Matzen, L.E., Stites, M.C., & Stites, M.C. (2021). User Performance Differences in Domain-General and Domain-Specific Interactions with ML [Presentation]. https://www.osti.gov/biblio/1884454

Jones, A., Trumbo, M.C.S., Matzen, L.E., Stites, M.C., Howell, B.C., Divis, K.M., Gastelum, Z.N., & Gastelum, Z.N. (2021). Evaluating the Impact of Algorithm Confidence Ratings on Human Decision Making in Visual Search [Conference Presenation]. 10.2172/1882467

Matzen, L.E., Leger, M.A., Reedy, G., & Reedy, G. (2021). Effects of Precise and Imprecise Value-Set Analysis (VSA) Information on Manual Code Analysis [Conference Paper]. https://www.osti.gov/biblio/1854704

Matzen, L.E., Leger, M.A., Reedy, G., & Reedy, G. (2021). Effects of Precise and Imprecise Value-Set Analysis (VSA) Information on Manual Code Analysis [Conference Presenation]. 10.2172/1847488

Jones, A., Trumbo, M.C.S., Matzen, L.E., Stites, M.C., Howell, B.C., Divis, K.M., Gastelum, Z.N., & Gastelum, Z.N. (2021). Evaluating the Impact of Algorithm Confidence Ratings on Human Decision Making in Visual Search [Conference Paper]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-78321-1_15

Matzen, L.E., Ting, C., Stites, M.C., & Stites, M.C. (2021). Using Machine Learning to Predict Bilingual Language Proficiency from Reaction Time Priming Data [Conference Paper]. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139395163&origin=inward

Matzen, L.E., Ting, C., Stites, M.C., & Stites, M.C. (2021). Using Machine Learning to Predict Bilingual Language Proficiency from Reaction Time Priming Data [Conference Poster]. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021. 10.2172/1874553

Trumbo, M.C.S., McDaniel, M.A., Hodge, G.K., Jones, A., Matzen, L.E., Kittinger, L.I., Kittinger, R., Clark, V.P., & Clark, V.P. (2021). Is the Testing Effect Ready to Be Put to Work? Evidence From the Laboratory to the Classroom. Translational Issues in Psychological Science, 7(3), pp. 332-355. 10.1037/tps0000292

Livingston, M., Matzen, L.E., Brock, D., Harrison, A., Decker, J., & Decker, J. (2020). Testing the Value of Salience in Statistical Graphs [Conference Paper]. 10.2352/ISSN.2470-1173.2021.1.VDA-329

Harris, A., McMillan, J.T., Listyg, B.J., Matzen, L.E., Carter, N.T., & Carter, N.T. (2020). Measuring Intelligence with the Sandia Matrices: Psychometric Review and Recommendations for Free Raven-Like Item Sets. Personnel Assessment and Decisions, 6(3). 10.25035/pad.2020.03.006

Gastelum, Z.N., Stites, M.C., Matzen, L.E., Jones, A., Trumbo, M.C.S., Howell, B.C., & Howell, B.C. (2020). Cognitive Impacts of Errors from MLDL Models [Presentation]. https://www.osti.gov/biblio/1830911

Matzen, L.E., Ting, C., Field, R.V., Young, C.J., Coram, J.L., & Coram, J.L. (2020). Applying Compression Distance Metrics to Seismic Data in Support of Global Nuclear Explosion Monitoring [Conference Poster]. 10.2172/1832688

Matzen, L.E., Stites, M.C., Howell, B.C., Gastelum, Z.N., & Gastelum, Z.N. (2020). Effects of the Accuracy and Visual Representation of Machine Learning Outputs on Human Decision Making [Conference Paper]. https://www.osti.gov/biblio/1825977

Matzen, L.E., Ting, C., Field, R.V., Morrow, J.D., Brogan, R., Young, C.J., Zhou, A., Trumbo, M.C.S., Coram, J.L., & Coram, J.L. (2020). Applying Compression-Based Metrics to Seismic Data in Support of Global Nuclear Explosion Monitoring. 10.2172/1673170

Gastelum, Z.N., Matzen, L.E., Stites, M.C., Jones, A., Trumbo, M.C.S., & Trumbo, M.C.S. (2020). Deep Learning Models are Only As Good as Their Users; Or: How Bad Models can Be Good and Better Models can Be Worse [Conference Poster]. https://www.osti.gov/biblio/1819256

Matzen, L.E., Divis, K.M., Haass, M.J., Cronin, D., & Cronin, D. (2020). Variable Biases: A Study of Scientists? Interpretation of Plot Types Commonly Used in Scientific Communication [Conference Poster]. https://www.osti.gov/biblio/1818027

Matzen, L.E., Divis, K.M., Cronin, D., Haass, M.J., & Haass, M.J. (2020). Task Matters [Conference Poster]. https://www.osti.gov/biblio/1811246

Gastelum, Z.N., Matzen, L.E., Stites, M.C., Jones, A., Trumbo, M.C.S., Howell, B.C., & Howell, B.C. (2020). How the Presentation of Results from MLDL Models Cognitively Impacts Users [Conference Poster]. https://www.osti.gov/biblio/1811804

Gastelum, Z.N., Matzen, L.E., Stites, M.C., Jones, A., Trumbo, M.C.S., Howell, B.C., Foulk, J.W., & Foulk, J.W. (2020). Evaluating the Cognitive Impacts of Errors from Analytical Tools for International Nuclear Safeguards [Conference Poster]. https://www.osti.gov/biblio/1804983

Gastelum, Z.N., Matzen, L.E., Stites, M.C., Jones, A., Trumbo, M.C.S., Howell, B.C., Foulk, J.W., & Foulk, J.W. (2020). Evaluating the Cognitive Impacts of Errors from Analytical Tools in the International Nuclear Safeguards Domain [Conference Poster]. https://www.osti.gov/biblio/1807389