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2020 – today
- 2024
[j5]Laura E. Matzen
, Breannan C. Howell, Marie Tuft, Kristin Divis:
Transparent Risks: The Impact of the Specificity and Visual Encoding of Uncertainty on Decision Making. Comput. Graph. Forum 43(3) (2024)- [c10]Kristin Divis, Jamie Coram, Breannan C. Howell, Zoe N. Gastelum:
Is this nuclear material secure? Examining trust in voice user interfaces for international nuclear safeguards seal examination. HICSS 2024: 914-922 - 2023
- [j4]Laura E. Matzen, Breannan C. Howell, Michael C. Trumbo, Kristin M. Divis:
Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making. IEEE Computer Graphics and Applications 43(5): 72-82 (2023) - 2022
- [c9]Kristin Divis, Breannan C. Howell, Laura E. Matzen, Mallory C. Stites, Zoe N. Gastelum:
The Cognitive Effects of Machine Learning Aid in Domain-Specific and Domain-General Tasks. HICSS 2022: 1-8 - 2021
- [c8]Aaron P. Jones, Michael C. Trumbo, Laura E. Matzen, Mallory C. Stites, Breannan C. Howell, Kristin M. Divis, Zoe N. Gastelum:
Evaluating the Impact of Algorithm Confidence Ratings on Human Decision Making in Visual Search. HCI (4) 2021: 192-205 - 2020
- [i1]Laura E. Matzen, Kristin Divis, Deborah Cronin, Michael Haass:
Task Matters When Scanning Data Visualizations. CoRR abs/2009.14465 (2020)
2010 – 2019
- 2019
- [j3]Emily Wall, Meeshu Agnihotri, Laura E. Matzen, Kristin Divis, Michael Haass, Alex Endert, John T. Stasko:
A Heuristic Approach to Value-Driven Evaluation of Visualizations. IEEE Trans. Vis. Comput. Graph. 25(1): 491-500 (2019) - [c7]Kimberly Ferguson-Walter, Temmie Shade, Andrew Rogers, Elizabeth Niedbala, Michael Trumbo, Kevin Nauer, Kristin Divis, Aaron P. Jones, Angela Combs, Robert G. Abbott:
The Tularosa Study: An Experimental Design and Implementation to Quantify the Effectiveness of Cyber Deception. HICSS 2019: 1-10 - 2018
- [j2]Glory Emmanuel Aviña, Kristin Divis, Robert G. Abbott:
Physiological state in extreme environments. Pervasive Mob. Comput. 50: 137-147 (2018) - [j1]Laura E. Matzen, Michael J. Haass, Kristin M. Divis, Zhiyuan Wang, Andrew T. Wilson:
Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations. IEEE Trans. Vis. Comput. Graph. 24(1): 563-573 (2018) - 2017
- [c6]Laura E. Matzen, Michael J. Haass, Kristin M. Divis, Mallory C. Stites:
Patterns of Attention: How Data Visualizations Are Read. HCI (14) 2017: 176-191 - [c5]Laura A. McNamara, Kristin M. Divis, J. Daniel Morrow, David Perkins:
Eye Tracking for Dynamic, User-Driven Workflows. HCI (14) 2017: 192-205 - [c4]Glory Emmanuel Aviña, Robert G. Abbott, Cliff Anderson-Bergman, Catherine Branda, Kristin M. Divis, Lucie Jelinkova, Victoria Newton, Emily Pearce, Jon Femling:
Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Experimental Design and Methodology. HCI (14) 2017: 263-274 - 2016
- [c3]Michael J. Haass, Andrew T. Wilson, Laura E. Matzen, Kristin M. Divis:
Modeling Human Comprehension of Data Visualizations. HCI (10) 2016: 125-134 - 2015
- [c2]Michael C. Trumbo, Laura E. Matzen, Austin Silva, Michael J. Haass, Kristin Divis, Ann E. Speed:
Through a Scanner Quickly: Elicitation of P3 in Transportation Security Officers Following Rapid Image Presentation and Categorization. HCI (15) 2015: 348-360 - [c1]Ann E. Speed, Austin Silva, Derek M. Trumbo, David J. Stracuzzi, Christina Warrender, Michael Trumbo, Kristin Divis:
Determining the Optimal Time on X-Ray Analysis for Transportation Security Officers. HCI (15) 2015: 825-834
Coauthor Index
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