Nadia Boukhelifa and Anastasia Bezerianos and Tobias Isenberg and Jean-Daniel Fekete.
Evaluating Sketchiness as a Visual Variable for the Depiction of Qualitative Uncertainty.
In IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2769--2778, 2012.


Links:

Abstract:

We report on results of a series of user studies on the perception of four visual variables that are commonly used in the literature to depict uncertainty. To the best of our knowledge, we provide the first formal evaluation of the use of these variables to facilitate an easier reading of uncertainty in visualizations that rely on line graphical primitives. In addition to blur, dashing and grayscale, we investigate the use of `sketchiness' as a visual variable because it conveys visual impreciseness that may be associated with data quality. Inspired by work in non-photorealistic rendering and by the features of hand-drawn lines, we generate line trajectories that resemble hand-drawn strokes of various levels of proficiency-ranging from child to adult strokes-where the amount of perturbations in the line corresponds to the level of uncertainty in the data. Our results show that sketchiness is a viable alternative for the visualization of uncertainty in lines and is as intuitive as blur; although people subjectively prefer dashing style over blur, grayscale and sketchiness. We discuss advantages and limitations of each technique and conclude with design considerations on how to deploy these visual variables to effectively depict various levels of uncertainty for line marks.

Bibtex:

@Article{        boukhelifa:2012:ESVV,
  author = 	 {Nadia Boukhelifa and Anastasia Bezerianos and Tobias Isenberg and Jean-Daniel Fekete},
  title = 	 {Evaluating Sketchiness as a Visual Variable for the Depiction of Qualitative Uncertainty},
  journal = 	 {IEEE Transactions on Visualization and Computer Graphics},
  year = 	 {2012},
  volume = 	 {18},
  number = 	 {12},
  pages = 	 {2769--2778},
  month = 	 {December},
}

Images:

References:

[1] J. C. J. H. Aerts, K. C. Clarke, and A. D. Keuper. Testing Popular Visu- alization Techniques for Representing Model Uncertainty. Cartography and Geographic Information Science, 30(3):249-261, July 2003. doi> 10.1559/152304003100011180
[2] R. S. Allendes Osorio and K. W. Brodlie. Contouring with Uncertainty. In Theory and Practice of Computer Graphics, pp. 59-65. Eurographics Association, Goslar, Germany, 2008. doi> 10.2312/LocalChapterEvents/ TPCG/TPCG08/059-065
[3] Z. AlMeraj, B. Wyvill, T. Isenberg, A. A. Gooch, and R. Guy. Auto- matically Mimicking Unique Hand-Drawn Pencil Lines. Computers & Graphics, 33(4):496-508, Aug. 2009. doi> 10.1016/j.cag.2009.04.004
[4] J. Bertin. Semiology of Graphics: Diagrams, Networks, Maps. ESRI Press, Redlands, California, 2010.
[5] A. M. Bisantz, T. Kesevadas, P. Scott, D. Lee, S. Basapur, P. Bhide, P. Bhide, and P. Bhide. Holistic Battlespace Visualization: Advanced Concepts in Information Visualization and Cognitive Studies. Technical report, UB Engineering, University of Buffalo, USA, June 2002.
[6] D. Borland and Russell. Rainbow Color Map (Still) Considered Harm- ful. IEEE Computer Graphics and Applications, 27(2):14-17, Mar./Apr. 2007. doi> 10.1109/MCG.2007.323435
[7] R. P. Botchen, D. Weiskopf, and T. Ertl. Texture-Based Visualization of Uncertainty in Flow Fields. In Proc. IEEE Visualization, pp. 647-654. IEEE, Los Alamitos, 2005. doi> 10.1109/VISUAL.2005.1532853
[8] N. Boukhelifa and D. J. Duke. Uncertainty Visualization - Why Might it Fail? In CHI Extended Abstracts, pp. 4051-4056. ACM, New York, 2009. doi> 10.1145/1520340.1520616
[9] R. Brecheisen, B. Platel, B. ter Haar Romeny, and A. Vilanova. Illustra- tive Uncertainty Visualization of DTI Fiber Pathways. The Visual Com- puter, 2012. To appear. doi> 10.1007/s00371-012-0733-9
[10] R. Brown. Animated Visual Vibrations as an Uncertainty Visualisation Technique. In Proc. GRAPHITE, pp. 84-89. ACM, New York, 2004. doi> 10.1145/988834.988849
[11] A. Cedilnik and P. Rheingans. Procedural Annotation of Uncertainty In- formation. In Proc. IEEE Visualization, pp. 77-84. IEEE Computer Soci- ety, Los Alamitos, 2000. doi> 10.1109/VISUAL.2000.885679
[12] W. S. Cleveland and R. McGill. Graphical Perception and Graphical Methods for Analyzing Scientific Data. Science, 229(4716):828-833, Aug. 1985. doi> 10.1126/science.229.4716.828
[13] C. D. Correa, Y.-H. Chan, and K.-L. Ma. A Framework for Uncertainty- Aware Visual Analytics. In Proc. VAST, pp. 51-58. IEEE Computer So- ciety, Los Alamitos, 2009. doi> 10.1109/VAST.2009.5332611
[14] C. Curtis. Loose and Sketchy Animation. In SIGGRAPH Technical Sketches, p. 317. ACM, New York, 1998. doi> 10.1145/281388.281913
[15] S. Diepenbrock, J.-S. Prani, F. Lindemann, H.-W. Bothe, and T. Ropin- ski. Interactive Visualization Techniques for Neurosurgery Planning. In
2778 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 18, NO. 12, DECEMBER 2012
Eurographics Short Papers / Dirk Bartz Prize for Visual Computing in
Medicine, pp. 13-16. Eurographics Association, Goslar, Germany, 2011.
[16] A. Finkelstein and D. H. Salesin. Multiresolution Curves. In Proc. SIG- GRAPH, pp. 261-268. ACM, New York, 1994. doi> 10.1145/192161.
192223
[17] T. Flash and N. Hogans. The Coordination of Arm Movements: An Exper-
imentally Confirmed Mathematical Model. The Journal of Neuroscience,
5(7):1688-1703, July 1985.
[18] L. E. Gerharz and E. J. Pebesma. Usability of Interactive and Non-
P. Shirley. Resolution Independent NPR-Style 3D Line Textures. Com- puter Graphics Forum, 28(1):52-62, Mar. 2009. doi> 10.1111/j.1467 -8659.2008.01297.x
[39] P. J. Rhodes, R. S. Laramee, R. D. Bergeron, and T. M. Sparr. Uncertainty Visualization Methods in Isosurface Rendering. In EG Short Papers, pp. 83-88. Eurographics Association, Goslar, Germany, 2003.
[40] J. Sanyal, S. Zhang, G. Bhattacharya, P. Amburn, and R. J. Moorhead. A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets. IEEE Transactions on Visualization and Computer Graphics, 15(6):1209-1218, Nov./Dec. 2009. doi> 10.1109/TVCG.2009.
Interactive Visualisation of Uncertain Geospatial Information. In Proc. Geoinformatik, pp. 223-230. ifgiPrints, Mu nster, Germany, 2009. 114
[19] N. D. Gershon. Visualization of Fuzzy Data Using Generalized Anima- tion. In Proc. IEEE Visualization, pp. 268-273. IEEE, Los Alamitos, 1992. doi> 10.1109/VISUAL.1992.235199
[20] E. B. Goldstein. Sensation and Perception. Brooks/Cole Publishing, Pa- cific Grove, USA, 5th edition, 1999.
[21] B. Gooch and A. A. Gooch. Non-Photorealistic Rendering. A K Peters, Ltd., Natick, 2001.
[22] H. Griethe and H. Schumann. The Visualization of Uncertain Data: Meth- ods and Problems. In Proc. SimVis, pp. 143-156. SCS Publishing House e.V., Erlangen, Germany, 2006.
[23] J. R. Hamerly and C. A. Dvorak. Detection and Discrimination of Blur in Edges and Lines. Journal of the Optical Society of America, 71(4):448- 452, Apr. 1981. doi> 10.1364/JOSA.71.000448
[24] J. Heer and M. Bostock. Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design. In Proc. CHI, pp. 203- 212. ACM, New York, 2010. doi> 10.1145/1753326.1753357
[25] T. Hengl and D. J. J. W. A. Brown. Pixel and Colour Mixture: GIS Techniques for Visualisation of Fuzziness and Uncertainty of Natural Re- source Inventories. In Proc. Accuracy, pp. 300-308. Delft University Press, Delft, the Netherlands, 2002.
[26] T. Hengl and N. Toomanian. Maps Are Not What They Seem: Represent- ing Uncertainty in Soil-Property Maps. In Proc. Accuracy, pp. 805-813. Instituto Geogra `fico Portugues, Lisboa, Portugal, 2006.
[27] R. Kosara, S. Miksch, H. Hauser, J. Schrammel, V. Giller, and M. Tsche- ligi. Useful Properties of Semantic Depth of Field for Better F+C Visual- ization. In Proc. VisSym, pp. 205-210. Eurographics Association, Goslar, Germany, 2002.
[28] M. Leitner and B. P. Buttenfield. Guidelines for the Display of Attribute Certainty. Cartography and Geographic Information Science, 27(1):3- 14, Jan. 2000. doi> 10.1559/152304000783548037
[29] H. Li, C.-W. Fu, Y. Li, and A. J. Hanson. Visualizing Large-Scale Un- certainty in Astrophysical Data. IEEE Transactions on Visualization and Computer Graphics, 13(6):1640-1647, Nov./Dec. 2007. doi> 10.1109/ TVCG.2007.70620
[30] M. Luboschik, A. Radloff, and H. Schumann. Using NPR-Rendering Techniques for the Visualization of Uncertainty. In Posters of IEEE Info- Vis. IEEE Computer Society, Los Alamitos, 2010.
[31] A. M. MacEachren. Visualizing Uncertain Information. Cartographic Perspectives, 13(Fall):12-19, 1992.
[32] A. M. MacEachren, A. Robinson, S. Gardner, R. Murray, M. Gahe- gan, and E. Hetzler. Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know. Cartography and Geo- graphic Information Science, 32(3):139-160, July 2005. doi> 10.1559/ 1523040054738936
[33] M. Matthews, L. Rehak, A.-L. Lapinski, and S. McFadden. Improving the Maritime Surface Picture with a Visualization Aid to Provide Rapid Situation Awareness of Information Uncertainty. In Proc. IEEE TIC-STH, pp. 533-538. IEEE, Los Alamitos, 2009. doi> 10.1109/TIC-STH.2009. 5444441
[34] M. Nienhaus, F. Kirsch, and J. Do llner. Sketchy Illustrations for Pre- senting the Design of Interactive CSG. In Proc. IV, pp. 772-777. IEEE Computer Society, Los Alamitos, 2006. doi> 10.1109/IV.2006.97
[35] A. Pang. Visualizing Uncertainty in Geo-spatial Data. In Proc. Work- shop on the Intersections between Geospatial Information and Informa- tion Technology, 2001.
[36] A. T. Pang, C. M. Wittenbrink, and S. K. Lodha. Approaches to Uncer- tainty Visualization. The Visual Computer, 13(8):370-390, Nov. 1996. doi> 10.1007/s003710050111
[37] J. J. Pfeiffer, Jr. Using Brightness and Saturation to Visualize Belief and Uncertainty. In Proc. Diagrams, pp. 279-289. Springer-Verlag, Berlin, 2002. doi> 10.1007/3-540-46037-3 27
[38] K.Potter,A.Gooch,B.Gooch,P.Willemsen,J.Kniss,R.Riesenfeld,and
[41] S. Schlechtweg, B. Scho nwa lder, L. Schumann, and T. Strothotte. Sur- faces to Lines: Rendering Rich Line Drawings. In Proc. WSCG, volume 2, pp. 354-361, 1998.
[42] J. Schumann, T. Strothotte, A. Raab, and S. Laser. Assessing the Effect of Non-photorealistic Rendered Images in CAD. In Proc. CHI, pp. 35-42. ACM, New York, 1996. doi> 10.1145/238386.238398
[43] S. S. Stevens. Psychophysics. Transaction Publishers, New Brunswick, USA, 2nd edition, 1975.
[44] S. S. Stevens and E. H. Galanter. Ratio Scales and Category Scales for a Dozen Perceptual Continua. Journal of Experimental Psychology, 54(6):377-411, Dec. 1957. doi> 10.1037/h0043680
[45] T. Strothotte, M. Masuch, and T. Isenberg. Visualizing Knowledge about Virtual Reconstructions of Ancient Architecture. In Proc. CGI, pp. 36-43. IEEE, Los Alamitos, 1999. doi> 10.1109/CGI.1999.777901
[46] T. Strothotte, B. Preim, A. Raab, J. Schumann, and D. R. Forsey. How to Render Frames and Influence People. Computer Graphics Forum, 13(3):455-466, Aug. 1994. doi> 10.1111/1467-8659.1330455
[47] T. Strothotte, M. Puhle, M. Masuch, B. Freudenberg, S. Kreiker, and B. Ludowici. Visualizing Uncertainty in Virtual Reconstructions. In Proc. EVA Europe, p. 16. EVA Conferences International/GFaI, Berlin, 1999.
[48] T. Strothotte and S. Schlechtweg. Non-Photorealistic Computer Graphics. Modeling, Animation, and Rendering. Morgan Kaufmann Publishers, San Francisco, 2002.
[49] J. Thomson, E. Hetzler, A. MacEachren, M. Gahegan, and M. Pavel. A Typology for Visualizing Uncertainty. In Proc. Visualization and Data Analysis, pp. 146-157. SPIE, 2005. doi> 10.1117/12.587254
[50] M. Wagner. The Geometries of Visual Space. Lawrence Erlbaum Asso- ciates, Mahwah, NJ, USA, 2006.
[51] R. Watt and M. Morgan. The Recognition and Representation of Edge Blur: Evidence for Spatial Primitives in Human Vision. Vision Research, 23(12):1465-1477, 1983. doi> 10.1016/0042-6989(83)90158-X
[52] W. Willett, J. Heer, and M. Agrawala. Scented Widgets: Improving Nav- igation Cues with Embedded Visualizations. IEEE Transactions on Vi- sualization and Computer Graphics, 13(6):1129-1136, Nov. 2007. doi> 10.1109/TVCG.2007.70589
[53] G. A. Winkenbach and D. H. Salesin. Computer-Generated Pen-and-Ink Illustration. In Proc. SIGGRAPH, pp. 91-100. ACM, New York, 1994. doi> 10.1145/192161.192184
[54] J. Wood, P. Isenberg, T. Isenberg, J. Dykes, N. Boukhelifa, and A. Slingsby. Sketchy Rendering for Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 18(12), Nov./Dec. 2012. In this issue.
[55] Z. Xie, S. Huang, M. O. Ward, and E. A. Rundensteiner. Exploratory Vi- sualization of Multivariate Data with Variable Quality. In Proc. VAST, pp. 183-190. IEEE, Los Alamitos, 2006. doi> 10.1109/VAST.2006.261424
[56] B. Zehner, N. Watanabe, and O. Kolditz. Visualization of Gridded Scalar Data with Uncertainty in Geosciences. Computers & Geosciences, 36(10):1268-1275, Oct. 2010. doi> 10.1016/j.cageo.2010.02.010
[57] T. Zuk and S. Carpendale. Theoretical Analysis of Uncertainty Visualiza- tions. In Visualization and Data Analysis, Proc. SPIE-IS&T Electronic Imaging, pp. 606007/1-14. SPIE, 2006. doi> 10.1117/12.643631