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Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5756))

Abstract

We propose an empirical, perception-based evaluation approach for assessing the effectiveness and efficiency of longstanding cartographic design principles applied to 2D map displays. The approach includes bottom-up visual saliency models that are compared with eye-movement data collected in human-subject experiments on map stimuli embedded in the so-called flicker paradigm. The proposed methods are applied to the assessment of four commonly used visual variables for designing 2D maps: size, color value, color hue, and orientation. The empirical results suggest that the visual variable size is the most efficient (fastest) and most effective (accurate) visual variable to detect change under flicker conditions. The visual variable orientation proved to be the least efficient and effective of the tested visual variables. These empirical results shed new light on the implied ranking of the visual variables that have been proposed over 40 years ago. With the presented approach we hope to provide cartographers, GIScientists and visualization designers a systematic assessment method to develop effective and efficient geovisualization displays.

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References

  • Bertin, J.: Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press, Madison (1983) (French edn., 1967)

    Google Scholar 

  • Buswell, G.T.: How People Look at Pictures. University of Chicago Press, Chicago (1935)

    Google Scholar 

  • Mackinlay, J.D.: Automating the Design of Graphical Presentations of Relational Information. ACM Transactions on Graphics 5(2), 110–141 (1986)

    Article  Google Scholar 

  • Dent, B.D.: Cartography. Thematic Map Design, Wm. C. Brown, Dubuque, IA (1999)

    Google Scholar 

  • Fabrikant, S.I., Goldsberry, K.: Thematic Relevance and Perceptual Salience of Dynamic Geovisualization Displays. In: Proceedings, 22th ICA/ACI International Cartographic Conference, A Coruña, Spain, July 9-16 (2005)

    Google Scholar 

  • Fabrikant, S.I., Montello, D.R., Ruocco, M., Middleton, R.S.: The Distance-Similarity Metaphor in Network-Display Spatializations. Cartography and Geographic Information Science 31(4), 237–252 (2004)

    Article  Google Scholar 

  • Fabrikant, S.I., Montello, D.R., Mark, D.M.: The Distance-Similarity Metaphor in Region-Display Spatializations. IEEE Computer Graphics & Application, 34–44 (2006)

    Google Scholar 

  • Fabrikant, S.I., Rebich-Hespanha, S., Hegarty, M.: Cognitively Adequate and Perceptually Salient Graphic Displays for Efficient Spatial Inference Making. Annals of the Association of American Geographers (in press)

    Google Scholar 

  • Goldberg, J.H., Kotval, X.P.: Computer Interface Evaluation using Eye Movements: Methods and Constructs. International Journal of Industrial Ergonomics 24, 631–645 (1999)

    Article  Google Scholar 

  • Goldstein, E.B.: Sensation & Perception, 2nd edn., Wadsworth, Belmont, CA (1989)

    Google Scholar 

  • Gregory, R.L. (ed.): The Oxford Companion to the Mind, pp. 491–493. Oxford University Press, Oxford

    Google Scholar 

  • Griffin, A.L.: Visual Variables. In: Kemp, K. (ed.) Encyclopedia of Geographic Information Science, pp. 506–509. SAGE Publication, Thousand Oaks (2008)

    Google Scholar 

  • Henderson, J.M., Ferreira, F.: Scene Perception for Psycholinguists. In: Henderson, J.M., Ferreira, F. (eds.) The Integration of Language, Vision, and Action: Eye Movements and the Visual World, pp. 1–58. Psychology Press, New York (2004)

    Google Scholar 

  • Irwin, E.: Fixation Location and Fixation Duration as Indices of Cognitive Processing. In: Henderson, J.M., Ferreira, F. (eds.) The Integration of Language, Vision, and Action: Eye Movements and the Visual World, pp. 105–134. Psychology Press, New York (2004)

    Google Scholar 

  • Itti, L., Koch, C.: Computational Modeling of Visual Attention. Nature Reviews Neuroscience 2(3), 194–203 (2001)

    Article  Google Scholar 

  • Itti, L., Koch, C., Niebur, E.: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(11), 1254–1259 (1998)

    Article  Google Scholar 

  • Jacob, R.J.K., Karn, K.S.: Eye Tracking in Human-computer Interaction and Usability Research: Ready to Deliver the Promises. In: Hyönä, J., Radach, R., Deubel, H. (eds.) The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research, pp. 573–605. Elsevier, Amsterdam (2003)

    Chapter  Google Scholar 

  • Koch, C.: Selective Visual Attention and Computational Models (2004), http://www.klab.caltech.edu/cns186/PS/attention-koch.pdf

  • Lloyd, R.: Visual Search Processes Used in Map Reading. Cartographica 34(1), 11–12 (1997)

    Article  Google Scholar 

  • Lloyd, R., Hodgson, M.E.: Visual Search for Land Use Objects in Aerial Photographs. Cartography and Geographic Information Science 29(1), 3–15 (2002)

    Article  Google Scholar 

  • Lowe, R.K.: Animation and Learning: Selective Processing of Information in Dynamic Graphics. Learning and Instruction (13), 157–176 (2003)

    Article  Google Scholar 

  • MacEachren, A.M.: How Maps Work. Representation, Visualization, and Design. Guilford Press, New York (1995)

    Google Scholar 

  • MacEachren, A.M., Kraak, M.-J.: Research Challenges in Geovisualization. Cartography and Geographic Information Science 28, 3–12 (2001)

    Article  Google Scholar 

  • Morrison, J.L.: A Theoretical Framework For Cartographic Generalization with the Emphasis on the Process of Symbolization. International Yearbook of Cartography 14, 115–127 (1974)

    Google Scholar 

  • Muller, J.C.: Bertin’s Theory of Graphics/A Challenge to North American Thematic Cartography. Cartographica 18(3), 1–8 (1981)

    Article  Google Scholar 

  • Palsky, G.: The Debate on the Standardization of Statistical Maps and Diagrams (1857-1901). Elements for the history of graphical language. Cybergeo: European Journal of Geography (85) (1999) (March 16, 1999), http://www.cybergeo.eu/index148.html

  • Parkhurst, D., Law, K., Niebur, E.: Modeling the Role of Salience in the Allocation of Overt Visual Attention. Vision Research 42, 107–123 (2002)

    Article  Google Scholar 

  • Rensink, R.A., O’Regan, J.K., Clark, J.J.: To See or Not to See: The Need for Attention to Perceive Changes in Scenes. Psychological Science 8, 368–373 (1997)

    Article  Google Scholar 

  • Rensink, R.A.: Change Detection. Annual Review of Psychology 53, 245–277 (2002)

    Article  Google Scholar 

  • Rensink, R.A.: Change Blindness. In: Itti, L., Rees, G., Tsotsos, J.K. (eds.) Neurobiology of Attention, pp. 76–81. Elsevier, San Diego (2005)

    Chapter  Google Scholar 

  • Rosenholtz, R., Li, Y., Nakano, L.: Measuring Visual Clutter. Journal of Vision 7(2), 1–22 (2007)

    Article  Google Scholar 

  • Simons, D.J.: Current Approach to Change Blindness. Visual Cognition 7(1/2/3), 1–15 (2000)

    Article  Google Scholar 

  • Slocum, T.A., McMaster, R.B., Kessler, F.C., Howard, H.H.: Thematic Cartography & Geographic Visualization, 3rd edn. Prentice Hall, Upper Saddle River (2008)

    Google Scholar 

  • Swienty, O., Kurz, F., Reichenbacher, T.: Attention Guiding Visualization in Remote Sensing IIM Systems. Photogrammetrie, Fernerkundung, Geoinformation 4, 239–251 (2007)

    Google Scholar 

  • Treisman, A.M., Gelade, G.: Feature-Integration Theory of Attention. Cognitive Psychology 12, 97–136 (1980)

    Article  Google Scholar 

  • Wolfe, J.M., Horowitz, T.S.: What Attributes Guide the Deployment of Visual Attention and how do they do it? Nature Reviews Neuroscience 5(6), 1–7 (2004)

    Article  Google Scholar 

  • Wright, R.D., Ward, L.M.: Orienting of Attention. Oxford University Press, New York (2008)

    Google Scholar 

  • Yarbus, A.L.: Eye Movements and Vision. Plenum, New York (1967)

    Book  Google Scholar 

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Garlandini, S., Fabrikant, S.I. (2009). Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization. In: Hornsby, K.S., Claramunt, C., Denis, M., Ligozat, G. (eds) Spatial Information Theory. COSIT 2009. Lecture Notes in Computer Science, vol 5756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03832-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-03832-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03831-0

  • Online ISBN: 978-3-642-03832-7

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