Abstract
The goal of this chapter is to help authors recognize and avoid a set of pitfalls that recur in many rejected information visualization papers, using a chronological model of the research process. Selecting a target paper type in the initial stage can avert an inappropriate choice of validation methods. Pitfalls involving the design of a visual encoding may occur during the middle stages of a project. In a later stage when the bulk of the research is finished and the paper writeup begins, the possible pitfalls are strategic choices for the content and structure of the paper as a whole, tactical problems localized to specific sections, and unconvincing ways to present the results. Final-stage pitfalls of writing style can be checked after a full paper draft exists, and the last set of problems pertain to submission.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amar, R., Eagan, J., Stasko, J.: Low-level components of analytic activity in information visualization. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 111–117 (2005)
Becker, R.A., Cleveland, W.S., Shyu, M.J.: The visual design and control of trellis display. Journal of Computational and Statistical Graphics 5, 123–155 (1996)
Card, S., Mackinlay, J.: The structure of the information visualization design space. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 92–99 (1997)
Dupré, L.: Bugs in Writing. Addison-Wesley, Reading (1995)
Fekete, J.-D., Plaisant, C.: Interactive information visualization of a million items. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 117–126 (2002)
Fua, Y.-H., Ward, M.O., Rundensteiner, E.A.: Hierarchical parallel coordinates for visualizing large multivariate data sets. In: Proc. IEEE Visualization Conf. (Vis), pp. 43-50 (1999)
Furnas, G., Bederson, B.: Space-scale diagrams: Understanding multiscale interfaces. In: Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 234-241 (1995)
Furnas, G.W.: A fisheye follow-up: Further reflection on focus + context. In: Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 999–1008 (2006)
Grossman, T., Wigdor, D., Balakrishnan, R.: Exploring and reducing the effects of orientation on text readability in volumetric displays. In: Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 483–492 (2007)
Hachul, S., Jünger, M.: Drawing large graphs with a potential-field-based multilevel algorithm. In: Pach, J. (ed.) GD 2004. LNCS, vol. 3383, pp. 285–295. Springer, Heidelberg (2005)
Havre, S., Hetzler, B., Nowell, L.: Themeriver(tm): In search of trends, patterns, and relationships. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 115–123 (2000)
Healey, C.G.: Perception in visualization, cited 14 Nov. 2007, http://www.csc.ncsu.edu/faculty/healey/PP
Heer, J., boyd, d.: Vizster: Visualizing online social networks. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 32–39 (2005)
Heer, J., Card, S.K., Landay, J.A.: prefuse: a toolkit for interactive information visualization. In: Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 421–430 (2005)
Holten, D.: Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Trans. Visualization and Computer Graphics (TVCG) (Proc. InfoVis 06) 12(5), 741–748 (2006)
Hornbæk, K., Hertzum, M.: Untangling the usability of fisheye menus. ACM Trans. on Computer-Human Interaction (ToCHI) 14(2), article 6 (2007)
Isaacs, E., Tang, J.: Why don’t more non-North-American papers get accepted to CHI? SIGCHI Bulletin 28(1) (1996), http://www.sigchi.org/bulletin/1996.1/isaacs.html
Johnson, C., Moorhead, R., Munzner, T., Pfister, H., Rheingans, P., Yoo, T.S.: NIH/NSF Visualization Research Challenges Report. IEEE Computer Society Press, Los Alamitos (2006)
Johnson, R.E., et al.: How to get a paper accepted at OOPSLA. In: Proc. Conf. Object Oriented Programming Systems Languages and Applications (OOPSLA), pp. 429–436 (1996), http://www.sigplan.org/oopsla/oopsla96/how93.html
Kajiya, J.: How to get your SIGGRAPH paper rejected, http://www.siggraph.org/publications/instructions/rejected
Kincaid, R., Ben-Dor, A., Yakhini, Z.: Exploratory visualization of array-based comparative genomic hybridization. Information Visualization 4(3), 176–190 (2005)
Levin, R., Redell, D.D.: An evaluation of the ninth SOSP submissions; or, how (and how not) to write a good systems paper. ACM SIGOPS Operating Systems Review 17(3), 35–40 (1983), http://www.usenix.org/events/samples/submit/advice.html
MacEachren, A., Dai, X., Hardisty, F., Guo, D., Lengerich, G.: Exploring high-D spaces with multiform matrices and small multiples. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 31–38 (2003)
Mackinlay, J.D.: Automating the Design of Graphical Presentations of Relational Information. ACM Trans. on Graphics (TOG) 5(2), 111–141 (1986)
Munzner, T.: Drawing large graphs with H3Viewer and Site Manager. In: Whitesides, S.H. (ed.) GD 1998. LNCS, vol. 1547, pp. 384–393. Springer, Heidelberg (1999)
Munzner, T., Burchard, P.: Visualizing the structure of the world wide web in 3D hyperbolic space. In: Proc. Virtual Reality Modelling Language Symposium (VRML), pp. 33–38. ACM SIGGRAPH (1995)
Nielsen, J.: Guerrilla HCI: Using discount usability engineering to penetrate the intimidation barrier. In: Bias, R.G., Mayhew, D.J. (eds.) Cost-justifying usability, pp. 245–272. Academic Press, London (1994)
Partridge, C.: How to increase the chances your paper is accepted at ACM SIGCOMM. ACM SIGCOMM Computer Communication Review 28(3) (1998), http://www.sigcomm.org/conference-misc/author-guide.html
Plaisant, C.: The challenge of information visualization evaluation. In: Proc. Advanced Visual Interfaces (AVI), pp. 109–116 (2004)
Plumlee, M., Ware, C.: Zooming versus multiple window interfaces: Cognitive costs of visual comparisons. Proc. ACM Trans. on Computer-Human Interaction (ToCHI) 13(2), 179–209 (2006)
Pousman, Z., Stasko, J.T., Mateas, M.: Casual information visualization: Depictions of data in everyday life. IEEE Trans. Visualization and Computer Graphics (TVCG) (Proc. InfoVis 07) 13(6), 1145–1152 (2007)
Rogowitz, B.E., Treinish, L.A.: How not to lie with visualization. Computers In Physics 10(3), 268–273 (1996), http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm
Shaw, M.: Mini-tutorial: Writing good software engineering research papers. In: Proc. Intl. Conf. on Software Engineering (ICSE), pp. 726–736 (2003), http://www.cs.cmu.edu/~Compose/shaw-icse03.pdf
Shewchuk, J.: Three sins of authors in computer science and math (1997), http://www.cs.cmu.edu/jrs/sins.html
Shneiderman, B., Plaisant, C.: Strategies for evaluating information visualization tools: Multi-dimensional in-depth long-term case studies. In: Proc. AVI Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization (BELIV), pp. 38–43 (2006)
Smallman, H.S., John, M.S., Oonk, H.M., Cowen, M.B.: Information availability in 2D and 3D displays. IEEE Computer Graphics and Applications (CG&A) 21(5), 51–57 (2001)
Tang, D., Stolte, C., Bosch, R.: Design choices when architecting visualizations. Information Visualization 3(2), 65–79 (2004)
Tory, M., Kirkpatrick, A.E., Atkins, M.S., Möller, T.: Visualization task performance with 2D, 3D, and combination displays. IEEE Trans. Visualization and Computer Graphics (TVCG) 12(1), 2–13 (2006)
Trafton, J.G., Kirschenbaum, S.S., Tsui, T.L., Miyamoto, R.T., Ballas, J.A., Raymond, P.D.: Turning pictures into numbers: Extracting and generating information from complex visualizations. Intl. Journ. Human Computer Studies 53(5), 827–850 (2000)
van Wijk, J.J., van Selow, E.R.: Cluster and calendar based visualization of time series data. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 4–9 (1999)
Ware, C.: Information Visualization: Perception for Design, 2nd edn. Morgan Kaufmann/Academic Press, London (2004)
Weaver, C., Fyfe, D., Robinson, A., Holdsworth, D.W., Peuquet, D.J., MacEachren, A.M.: Visual analysis of historic hotel visitation patterns. Information Visualization 6(1), 89–103 (2007)
Wilkinson, L., Anand, A., Grossman, R.: Graph-theoretic scagnostics. In: Proc. IEEE Symposium on Information Visualization (InfoVis), pp. 157-164 (2005)
Yost, B., North, C.: The perceptual scalability of visualization. IEEE Trans. Visualization and Computer Graphics (TVCG) (Proc. InfoVis 06) 12(5), 837–844 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Munzner, T. (2008). Process and Pitfalls in Writing Information Visualization Research Papers. In: Kerren, A., Stasko, J.T., Fekete, JD., North, C. (eds) Information Visualization. Lecture Notes in Computer Science, vol 4950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70956-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-70956-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70955-8
Online ISBN: 978-3-540-70956-5
eBook Packages: Computer ScienceComputer Science (R0)