Christopher Healey

Padia, K., Bandara, K. H., & Healey, C. G. (2019). A system for generating storyline visualizations using hierarchical task network planning. COMPUTERS & GRAPHICS-UK, 78, 64–75. https://doi.org/10.1016/j.cag.2018.11.004

Kozik, P., Tateosian, L. G., Healey, C. G., & Enns, J. T. (2019). Impressionism-Inspired Data Visualizations Are Both Functional and Liked. PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 13(3), 266–276. https://doi.org/10.1037/aca0000175

Villanes, A., Griffiths, E., Rappa, M., & Healey, C. G. (2018). Dengue fever surveillance in India using text mining in public media. American Journal of Tropical Medicine and Hygiene, 98(1), 181–191. https://doi.org/10.4269/ajtmh.17-0253

Nie, S. L., Healey, C. G., Padia, K., Leeman-Munk, S., Benson, J. R., Caira, D., … Devarajan, R. (2018). Visualizing deep neural networks for text analytics. 2018 ieee pacific visualization symposium (pacificvis), 180–189. https://doi.org/10.1109/pacificvis.2018.00031

Albanese, M., Cooke, N., Coty, G., Hall, D., Healey, C., Jajodia, S., … Yen, J. (2017). Computer-Aided Human Centric Cyber Situation Awareness. In Theory and Models for Cyber Situation Awareness (pp. 3–25). https://doi.org/10.1007/978-3-319-61152-5_1

Healey, C. G., Hao, L., & Hutchinson, S. E. (2017). Lessons Learned: Visualizing Cyber Situation Awareness in a Network Security Domain. In Theory and Models for Cyber Situation Awareness (pp. 47–65). https://doi.org/10.1007/978-3-319-61152-5_3

Chen, Z., & Healey, C. G. (2016). Large Image Collection Visualization Using Perception-Based Similarity with Color Features. In Advances in Visual Computing (pp. 379–390). https://doi.org/10.1007/978-3-319-50835-1_35

Hao, L. H., Healey, C. G., & Hutchinson, S. E. (2015). Ensemble visualization for cyber situation awareness of network security data. 2015 IEEE Symposium on Visualization for Cyber Security (VIZSEC). https://doi.org/10.1109/vizsec.2015.7312766

Canary, H., Taylor, R. M., Quammen, C., Pratt, S., Gomez, F. A., O'Shea, B., & Healey, C. G. (2014). Visualizing likelihood density functions via optimal region projection. Computers & Graphics-UK, 41, 62–71. https://doi.org/10.1016/j.cag.2014.02.005

Healey, C. G., & Enns, J. T. (2012). Attention and visual memory in visualization and computer graphics. IEEE Transactions on Visualization and Computer Graphics, 18(7), 1170–1188. https://doi.org/10.1109/tvcg.2011.127

Phadke, M. N., Pinto, L., Alabi, O., Harter, J., Taylor, R. M., Wu, X. L., … Healey, C. G. (2012). Exploring ensemble visualization. Visualization and data analysis 2012, 8294. https://doi.org/10.1117/12.912419

Healey, C. G., & Dennis, B. M. (2012). Interest driven navigation in visualization. IEEE Transactions on Visualization and Computer Graphics, 18(10), 1744–1756. https://doi.org/10.1109/tvcg.2012.23

Healey, C. G., & Sawant, A. P. (2012). On the limits of resolution and visual angle in visualization. ACM Transactions on Applied Perception, 9(4). https://doi.org/10.1145/2355598.2355603

Bass, S. A., Petersen, H., Quammen, C., Canary, H., Healey, C. G., & Taylor, R. M. (2012). Probing the QCD critical point with relativistic heavy-ion collisions. Central European Journal of Physics, 10(6), 1278–1281. https://doi.org/10.2478/s11534-012-0076-1

Hsiao, J. P. L., & Healey, C. G. (2011). Visualizing combinatorial auctions. Visual Computer, 27(6-8), 633–643. https://doi.org/10.1007/s00371-011-0576-9

Healey, C. G., Kocherlakota, S., Rao, V., Mehta, R., & Amant, R. S. (2008). Visual perception and mixed-initiative interaction for assisted visualization design. IEEE Transactions on Visualization and Computer Graphics, 14(2), 396–411. https://doi.org/10.1109/TVCG.2007.70436

Sawant, A. P., Raina, R., & Healey, C. G. (2007). ChipViz: Visualizing Memory Chip Test Data. In Advances in Visual Computing (pp. 711–720). https://doi.org/10.1007/978-3-540-76856-2_70

Hagh-Shenas, H., Kim, S., Interrante, V., & Healey, C. (2007). Weaving versus blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1270–1277. https://doi.org/10.1109/TVCG.2007.70623

Rhyne, T. M., Dennis, B., Kocherlakota, S., Sawant, A., Tateosian, L., & Healey, C. G. (2005). Designing a visualization framework for multidimensional data. IEEE Computer Graphics and Applications, 25(6), 15-.

Liu, G., Healey, C. G., & Enns, J. T. (2003). Target detection and localization in visual search: A dual systems perspective. Perception & Psychophysics, 65(5), 678–694. https://doi.org/10.3758/bf03194806

Kosara, R., Healey, C. G., Interrante, V., Laidlaw, D. H., & Ware, C. (2003). User studies: Why, how, and when? IEEE Computer Graphics and Applications, 23(4), 20–25. https://doi.org/10.1109/MCG.2003.1210860

Healey, C. G., & Enns, J. T. (2002). Perception and painting: A search for effective, engaging visualizations. IEEE Computer Graphics and Applications, 22(2), 10–15. https://doi.org/10.1109/38.988741

Healey, C. G., & Wurman, P. R. (2001). Visualizing market data. IEEE Internet Computing, 5(2), 88.

Healey, C. G. (2000). Building a perceptual visualization architecture. Behaviour & Information Technology, 19(5), 349–366. https://doi.org/10.1080/014492900750000054

Healey, C. G., & Enns, J. T. (1999). Large datasets at a glance: Combining textures and colors in scientific visualization. IEEE Transactions on Visualization and Computer Graphics, 5(2), 145–167. https://doi.org/10.1109/2945.773807