Paper Presentation: Ignite Talk


The purpose of this assignment is to give you a chance to delve more deeply into a topic that interests you. You will choose a paper from the list for that topic, read it, and prepare a short presentation on it. You will give that presentation on the same day the topic is discussed in class.


HW0 Choose Topic & Paper

Selection due Friday, May 15 by 5pm

First, choose a topic. Check the wiki to make sure that there are still slots available for that topic, as there are only 3 for each of them. Then, look at the list of papers for that topic. Choose one that has not already been picked by a student. Take a look at the paper (at least the abstract) to make sure that this is something that you want to read and talk about. When you have selected the paper you want, update the wiki.

Your selection of topic and paper must be posted to the wiki Friday, May 15 by 5pm.

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HW7 Ignite Talk

Due: In class on the day that you select for HW0

Ignite talks are short, rapid-fire presentations with a specific format. The purpose is to deliver a quick summary of a topic that is focused on the important highlights rather than getting caught up in the details. Presentations last exactly five minutes and consist of twenty slides. That means you get only 15 seconds per slide, so you need to move fast! This also means that slides tend to use a lot of images rather than having a lot of text and bullet points. Also, your slides auto-advance...so enlighten us, but do it quickly.

There are a number of great example Ignite talks running the gamut from informative to entertaining. Here are some examples to help you get started thinking about the format:

Up to three presentations will be given at the end of each class period starting Monday, May 18. Slides are due for presenters before class on the day of the presentation.

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Papers by Topic

Here are the papers that you may select for each topic. Other papers may be acceptable at the instructor's discretion, just get permission beforehand. Choose carefully! Most of all, the topic and paper should interest you. The papers differ in length: while a shorter paper may take less time to read, it will also mean that you have less material to work with for slides. In any case, you are encouraged to talk about how the paper relates to something that interests you. Remember, the point is to communicate the highlights while also engaging the class.

Mon, May 18
Topic: Tasks
Papers
  • Amar, R., Eagan, J., & Stasko, J. (2005, October). Low-level components of analytic activity in information visualization. In Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on (pp. 111-117). IEEE.
  • Springmeyer, R. R., Blattner, M. M., & Max, N. L. (1992, October). A characterization of the scientific data analysis process. In Proceedings of the 3rd conference on Visualization'92 (pp. 235-242). IEEE Computer Society Press.
  • Heer, J., & Shneiderman, B. (2012). Interactive dynamics for visual analysis. Queue, 10(2), 30.
  • Tory, M., & Moller, T. (2004, October). Rethinking visualization: A high-level taxonomy. In Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on (pp. 151-158). IEEE.
Wed, May 20
Topic: Validation
Papers
  • Sedlmair, M., Meyer, M., & Munzner, T. (2012). Design study methodology: Reflections from the trenches and the stacks. Visualization and Computer Graphics, IEEE Transactions on, 18(12), 2431-2440.
  • 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.
  • Shneiderman, B., & Plaisant, C. (2006, May). Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies. In Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization (pp. 1-7). ACM.
  • Mcgrath, E. (1995). Methodology matters: Doing research in the behavioral and social sciences. In Readings in Human-Computer Interaction: Toward the Year 2000 (2nd ed.
Wed, May 27
Topic: Marks & Channels
Papers
  • Heer, J., & Bostock, M. (2010, April). Crowdsourcing graphical perception: using mechanical turk to assess visualization design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 203-212). ACM.
  • Mackinlay, J. (1986). Automating the design of graphical presentations of relational information. Acm Transactions On Graphics (Tog), 5(2), 110-141.
  • Cleveland, W. S., & McGill, R. (1984). Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American statistical association, 79(387), 531-554.
  • Chi, M. T., Lee, T. Y., Qu, Y., & Wong, T. T. (2008, August). Self-animating images: illusory motion using repeated asymmetric patterns. In ACM Transactions on Graphics (TOG) (Vol. 27, No. 3, p. 62). ACM. Chicago
Mon, June 1
Topic: Rules of Thumb
Papers
  • John, M. S., Cowen, M. B., Smallman, H. S., & Oonk, H. M. (2001). The use of 2D and 3D displays for shape-understanding versus relative-position tasks. Human Factors: The Journal of the Human Factors and Ergonomics Society, 43(1), 79-98.
  • Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: can it facilitate?. International journal of human-computer studies, 57(4), 247-262.
  • Yi, J. S., ah Kang, Y., Stasko, J. T., & Jacko, J. A. (2007). Toward a deeper understanding of the role of interaction in information visualization. Visualization and Computer Graphics, IEEE Transactions on, 13(6), 1224-1231.
  • Simons, D. J. (2000). Current approaches to change blindness. Visual cognition, 7(1-3), 1-15.
Wed, June 3
Topic: Tables
Papers
  • Byron, L., & Wattenberg, M. (2008). Stacked graphs–geometry & aesthetics. Visualization and Computer Graphics, IEEE Transactions on, 14(6), 1245-1252.
  • Zacks, J., & Tversky, B. (1999). Bars and lines: A study of graphic communication. Memory & Cognition, 27(6), 1073-1079.
  • Heer, J., & Agrawala, M. (2006). Multi-scale banking to 45 degrees. Visualization and Computer Graphics, IEEE Transactions on, 12(5), 701-708.
  • Wilkinson, L., & Friendly, M. (2009). The history of the cluster heat map. The American Statistician, 63(2).
Mon, June 8
Topic: Spatial Data
Papers
  • MacEachren, A. M. (1979). The evolution of thematic cartography/a research methodology and historical review. Cartographica: The International Journal for Geographic Information and Geovisualization, 16(1), 17-33.
  • Schroeder, W. J., & Martin, K. M. (2005). Overview of Visualization." in The Visualization Handbook, edited by Charles Hansen and Christopher Johnson, pp. 3-39. Elsevier, 2005.
  • Newman, T. S., & Yi, H. (2006). A survey of the marching cubes algorithm. Computers & Graphics, 30(5), 854-879.
  • Weiskopf, D., & Erlebacher, G. (2005). Overview of flow visualization. The Visualization Handbook, 261-278.
  • Kraak, M. J. (2003, August). The space-time cube revisited from a geovisualization perspective. In Proc. 21st International Cartographic Conference (pp. 1988-1996).
Wed, June 10
Topic: Networks
Papers
  • Melancon, G. (2006, May). Just how dense are dense graphs in the real world?: a methodological note. In Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization (pp. 1-7). ACM.
  • Henry, N., Fekete, J., & McGuffin, M. J. (2007). NodeTrix: a hybrid visualization of social networks. Visualization and Computer Graphics, IEEE Transactions on, 13(6), 1302-1309.
  • Balzer, M., Deussen, O., & Lewerentz, C. (2005, May). Voronoi treemaps for the visualization of software metrics. In Proceedings of the 2005 ACM symposium on Software visualization (pp. 165-172). ACM.
  • Henry, Nathalie, and Jean-Daniel Fekete. "Matrixexplorer: a dual-representation system to explore social networks." Visualization and Computer Graphics, IEEE Transactions on 12.5 (2006): 677-684.
  • Wattenberg, M. (2002). Arc diagrams: Visualizing structure in strings. In Information Visualization, 2002. INFOVIS 2002. IEEE Symposium on (pp. 110-116). IEEE.
  • Wattenberg, M. (2006, April). Visual exploration of multivariate graphs. In Proceedings of the SIGCHI conference on Human Factors in computing systems (pp. 811-819). ACM.
  • Chau, D. H., Kittur, A., Hong, J. I., & Faloutsos, C. (2011, May). Apolo: making sense of large network data by combining rich user interaction and machine learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 167-176). ACM.
Wed, June 17
Topic: Color
Papers
  • Brewer, C. A. (1999, August). Color use guidelines for data representation. In Proceedings of the Section on Statistical Graphics, American Statistical Association (pp. 55-60).
  • Borland, D., & Taylor II, R. M. (2007). Rainbow color map (still) considered harmful. IEEE computer graphics and applications, 27(2), 14-17.
  • Moreland, K. (2009). Diverging color maps for scientific visualization. In Advances in Visual Computing (pp. 92-103). Springer Berlin Heidelberg.
  • Ware, C., & Bobrow, R. (2004). Motion to support rapid interactive queries on node--link diagrams. ACM Transactions on Applied Perception (TAP), 1(1), 3-18.
  • Borkin, M., Gajos, K., Peters, A., Mitsouras, D., Melchionna, S., Rybicki, F., Feldman, C., & Pfister, H., 2011, "Evaluation of Artery Visualizations for Heart Disease Diagnosis", IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis 2011), 17, 12, 2479
Mon, June 22
Topic: Manipulate
Papers
  • Heer, J., & Robertson, G. G. (2007). Animated transitions in statistical data graphics. Visualization and Computer Graphics, IEEE Transactions on, 13(6), 1240-1247.
  • Wills, G. J. (1996, October). Selection: 524,288 ways to say “this is interesting”. In Information Visualization'96, Proceedings IEEE Symposium on (pp. 54-60). IEEE.
  • Mackinlay, J. D., Card, S. K., & Robertson, G. G. (1990, September). Rapid controlled movement through a virtual 3D workspace. In ACM SIGGRAPH Computer Graphics (Vol. 24, No. 4, pp. 171-176). ACM.
  • McLachlan, P., Munzner, T., Koutsofios, E., & North, S. (2008, April). LiveRAC: interactive visual exploration of system management time-series data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1483-1492). ACM.
Wed, June 24
Topic: Facet
Papers
  • Weaver, C., Fyfe, D., Robinson, A., Holdsworth, D., Peuquet, D., & MacEachren, A. M. (2007). Visual exploration and analysis of historic hotel visits. Information Visualization, 6(1), 89-103.
  • Wood, J., & Dykes, J. (2008). Spatially ordered treemaps. Visualization and Computer Graphics, IEEE Transactions on, 14(6), 1348-1355.
  • Maguire, E., Rocca-Serra, P., Sansone, S. A., Davies, J., & Chen, M. (2012). Taxonomy-Based Glyph Design; with a Case Study on Visualizing Workflows of Biological Experiments. Visualization and Computer Graphics, IEEE Transactions on, 18(12), 2603-2612.
  • Chang, R., Ghoniem, M., Kosara, R., Ribarsky, W., Yang, J., Suma, E., ... & Sudjianto, A. (2007, October). Wirevis: Visualization of categorical, time-varying data from financial transactions. In Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on (pp. 155-162). IEEE.
  • Stasko, J., Görg, C., & Liu, Z. (2008). Jigsaw: supporting investigative analysis through interactive visualization. Information visualization, 7(2), 118-132.
  • Smith, G., Czerwinski, M., Meyers, B. R., Robertson, G., & Tan, D. S. (2006). FacetMap: A scalable search and browse visualization. Visualization and Computer Graphics, IEEE Transactions on, 12(5), 797-804.
Mon, June 29
Topic: Reduce
Papers
  • Willett, W., Heer, J., & Agrawala, M. (2007). Scented widgets: Improving navigation cues with embedded visualizations. Visualization and Computer Graphics, IEEE Transactions on, 13(6), 1129-1136.
  • Ingram, S., Munzner, T., Irvine, V., Tory, M., Bergner, S., & Moller, T. (2010, October). DimStiller: Workflows for dimensional analysis and reduction. In Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on (pp. 3-10). IEEE.
  • Elmqvist, N., & Fekete, J. D. (2010). Hierarchical aggregation for information visualization: Overview, techniques, and design guidelines. Visualization and Computer Graphics, IEEE Transactions on, 16(3), 439-454.
  • Jeong, D. H., Ziemkiewicz, C., Fisher, B., Ribarsky, W., & Chang, R. (2009, June). iPCA: An Interactive System for PCA‐based Visual Analytics. In Computer Graphics Forum (Vol. 28, No. 3, pp. 767-774). Blackwell Publishing Ltd.
Wed, July 1
Topic: Embed
Papers
  • Mackinlay, J. D., Robertson, G. G., & Card, S. K. (1991, March). The perspective wall: Detail and context smoothly integrated. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 173-176). ACM.
  • Robertson, G. G., Mackinlay, J. D., & Card, S. K. (1991, April). Cone trees: animated 3D visualizations of hierarchical information. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 189-194). ACM.
  • Lamping, J., Rao, R., & Pirolli, P. (1995, May). A focus+ context technique based on hyperbolic geometry for visualizing large hierarchies. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 401-408). ACM Press/Addison-Wesley Publishing Co..
  • Furnas, G. W. (2006, April). A fisheye follow-up: further reflections on focus+ context. In Proceedings of the SIGCHI conference on Human Factors in computing systems (pp. 999-1008). ACM.
  • Isenberg, P., Dragicevic, P., Willett, W., Bezerianos, A., & Fekete, J. D. (2013). Hybrid-image visualization for large viewing environments. IEEE Transactions on Visualization & Computer Graphics, (12), 2346-2355.
  • Bederson, B. B., Clamage, A., Czerwinski, M. P., & Robertson, G. G. (2004). DateLens: A fisheye calendar interface for PDAs. ACM Transactions on Computer-Human Interaction (TOCHI), 11(1), 90-119.
  • Munzner, T. (1997, October). H3: Laying out large directed graphs in 3D hyperbolic space. In Information Visualization, 1997. Proceedings., IEEE Symposium on (pp. 2-10). IEEE.
Mon, July 6
Topic: Case Studies
Papers
This topic is not available for this assignment.
Wed, July 8
Topic: Commercial Tools
Papers
This topic is not available for this assignment.
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