Visual Cognition

As the world moves to more evidence-based data-driven decision making, data visualization can help or hinder the user’s understanding of the scope and situation. It can help if it reduces cognitive load but can hurt decision quality if the user becomes overloaded, resorting to quick heuristics.

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Zhao, J., Glueck, M., Isenberg, P., Chevalier, F., Khan, A. (2018). Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs. IEEE Transactions on Visualization and Computer Graphics. (2018). 12 pages.


Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data based on User-Authored Annotations

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Zhao, J., Glueck, M., Breslav, S., Chevalier, F., Khan, A. (2016) Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data based on User-Authored Annotations. IEEE Transactions on Visualization and Computer Graphics. 10 pages.


PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models

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Glueck, M., Pakdaman Naeini, M., Doshi-Velez, F., Chevalier, F., Khan, A., Wigdor, D., Brudno, M. (2018). PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models. IEEE Transactions on Visualization and Computer Graphics. 12 pages.


PhenoStacks: Cross-Sectional Cohort Phenotype Comparison Visualizations

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Glueck, M., Gvozdik, A., Chevalier, F., Khan, A., Brudno, M., Wigdor, D. (2016) PhenoStacks: Cross-Sectional Cohort Phenotype Comparison Visualizations. IEEE Transactions on Visualization and Computer Graphics. 10 pages.


PhenoBlocks: Phenotype Comparison Visualizations

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Glueck, M., Hamilton, P., Chevalier, F., Breslav, S., Khan, A., Wigdor, D., Brudno, M. (2016) PhenoBlocks: Phenotype Comparison Visualizations. IEEE Transactions on Visualization and Computer Graphics, 22(1), pp. 101-110.


Egocentric Analysis of Dynamic Networks with EgoLines

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Zhao, J., Glueck, M., Chevalier, F., Wu, Y., Khan, A. (2016). Egocentric Analysis of Dynamic Networks with EgoLines. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. pp. 5003-5014. ACM.


Exploratory Sequential Data Analysis for Multi-Agent Occupancy Simulation Results

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Breslav, S., Goldstein, R., Khan, A., Hornbæk, K. (2015). Exploratory Sequential Data Analysis for Multi-Agent Occupancy Simulation Results. SimAUD 2015 Conference Proceedings: Symposium on Simulation for Architecture and Urban Design. 8 pages.


Dive In! Enabling Progressive Loading for Real-Time Navigation of Data Visualizations

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Glueck, M., Khan, A., Wigdor, D. (2014). Dive In! Enabling Progressive Loading for Real-Time Navigation of Data Visualizations. CHI 2014 Conference Proceedings: ACM Conference on Human Factors in Computing Systems. pp. 561-570.


Considering Multiscale Scenes to Elucidate Problems Encumbering 3D Intellection and Navigation

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Glueck, M. and Khan, A. (2011). Considering Multiscale Scenes to Elucidate Problems Encumbering 3D Intellection and Navigation. Artificial Intelligence for Engineering Design, Analysis and Manufacturing – Special Issue on Representing and Reasoning About 3D Space. AI EDAM, Fall 2011, 25(4). pp. 393-407.

The Role of Visualization in the Naturalization of Remote Software Immigrants

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Khan, A., Matejka, J., Easterbrook, S. (2009). The Role of Visualization in the Naturalization of Remote Software Immigrants. Software Engineering 2009 Conference Proceedings: Software Engineering, Human Computer Interaction and Visualization Workshop. pp. 1-8.