Kristin Divis

According to our database, Kristin Divis authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

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

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

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

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

Proceedings of the Human Interface and the Management of Information. Information Presentation and Visualization, 2021

2020

Task Matters When Scanning Data Visualizations.

Laura E. Matzen, Kristin Divis, Deborah Cronin, Michael Haass

CoRR, 2020

2019

A Heuristic Approach to Value-Driven Evaluation of Visualizations.

Emily Wall, Meeshu Agnihotri, Laura E. Matzen, Kristin Divis, Michael Haass, Alex Endert, John T. Stasko

IEEE Trans. Vis. Comput. Graph., 2019

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

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

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

Physiological state in extreme environments.

Glory Emmanuel Aviña, Kristin Divis, Robert G. Abbott

Pervasive Mob. Comput., 2018

2017

Eye Tracking for Dynamic, User-Driven Workflows.

Laura A. McNamara, Kristin M. Divis, J. Daniel Morrow, David Perkins

Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

Patterns of Attention: How Data Visualizations Are Read.

Laura E. Matzen, Michael J. Haass, Kristin M. Divis, Mallory C. Stites

Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

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

Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

2016

Modeling Human Comprehension of Data Visualizations.

Michael J. Haass, Andrew T. Wilson, Laura E. Matzen, Kristin M. Divis

Proceedings of the Virtual, Augmented and Mixed Reality, 2016

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

Proceedings of the Foundations of Augmented Cognition, 2015

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

Proceedings of the Foundations of Augmented Cognition, 2015