For your eyes only? Evaluating a coordinated and multiple views tool with a map, a parallel coordinated plot and a table using an eye-tracking approach

References

• Amar, R., Eagan, J., and Stasko, J., 2005. Low-level components of analytic activity in information visualization. In: IEEE Symposium on Information Visualization, 23–25 October 2005 Minneapolis. Los Alamitos, CA: IEEE, 111–117.
   Google Scholar
• Andrienko, N. and Andrienko, G., 2006a. The complexity challenge to creating useful and usable geovisualization tools. In: M. Raubal, ed. Geographic Information Science: fourth International Geoconference, GIScience 2006, September 2006 Münster, Solingen: Verlag Natur & Wissenschaft, 23–27.
   Google Scholar
• Andrienko, N. and Andrienko, G., 2006b. exploratory analysis of spatial and temporal data. A systematic approach. Berlin Heidelberg: Springer.
   Google Scholar
• Andrienko, N., et al., 2002. Testing the usability of interactive maps in CommonGIS. Cartography and Geographic Information Science, 29 (4), 325–342. doi:10.1559/152304002782008369
   Google Scholar
• Baldonado, M.Q.W., Woodruff, A., and Kuchinsky, A., 2000. Guidelines for using multiple views in information visualization. In: AVI ‘00 Proceedings of the working conference on Advanced visual interfaces, 24–26 May 2000 Palermo. New York: ACM, 110–119.
   Google Scholar
• Bhowmick, T., et al., 2008. Distributed usability evaluation of the Pennsylvania Cancer Atlas. International Journal of Health Geographics, 7, 36. doi:10.1186/1476-072X-7-36
   PubMed Web of Science ®Google Scholar
• Buttenfield, B., 1999. Usability evaluation of digital libraries. Science & Technology Libraries, 17 (3–4), 39–59. doi:10.1300/J122v17n03_04
   Web of Science ®Google Scholar
• Chang, R., et al., 2009. Defining insight for visual analytics. IEEE Computer Graphics and Applications, 29 (2), 14–17. doi:10.1109/MCG.2009.22
   PubMed Web of Science ®Google Scholar
• Çöltekin, A., Fabrikant, S.I., and Lacayo, M., 2010. Exploring the efficiency of users’ visual analytics strategies based on sequence analysis of eye movement recordings. International Journal of Geographical Information Science, 24 (10), 1559–1575. doi:10.1080/13658816.2010.511718
   Web of Science ®Google Scholar
• Çöltekin, A., et al., 2009. Evaluating the effectiveness of interactive map interface designs: a case study integrating usability metrics with eye-movement analysis. Cartography and Geographic Information Science, 36 (1), 5–17. doi:10.1559/152304009787340197
   Web of Science ®Google Scholar
• Convertino, G., et al., 2003. Exploring context switching and cognition in dual-view coordinated visualizations. In: Proceedings of The Coordinated & Multiple Views in Exploratory Visualization, 15 July 2003 London. Los Alamitos, CA: IEEE, 55–62.
   Google Scholar
• Demšar, U., 2007. Investigating visual exploration of geospatial data: an exploratory usability experiment for visual data mining. Computers, Environment and Urban Systems, 31 (5), 551–571. doi:10.1016/j.compenvurbsys.2007.08.006
   Web of Science ®Google Scholar
• Edsall, R.M., 2003a. Design and usability of an enhanced geographic information system for exploration of multivariate health statistics. The Professional Geographer, 55 (2), 146–160.
   Web of Science ®Google Scholar
• Edsall, R.M., 2003b. The parallel coordinate plot in action: design and use for geographic visualization. Computational Statistics & Data Analysis, 43 (4), 605–619. doi:10.1016/S0167-9473(02)00295-5
   Web of Science ®Google Scholar
• Fabrikant, S.I., et al., 2008. Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes. The Cartographic Journal, 45 (3), 201–215. doi:10.1179/000870408X311396
   Web of Science ®Google Scholar
• Golebiowska, I., 2015. Legend layouts for thematic maps: a case study integrating usability metrics with the thinking aloud method. The Cartographic Journal, 52 (1), 28–40. doi:10.1179/1743277413Y.0000000045
   Web of Science ®Google Scholar
• Gotz, D. and Zhou, M.X., 2009. Characterizing users’ visual analytic activity for insight provenance. Information Visualization, 8 (1), 42–55. doi:10.1057/ivs.2008.31
   Web of Science ®Google Scholar
• Griffin, A.L. and Fabrikant, S.I., 2012. More maps, more users, more devices means more cartographic challenges. The Cartographic Journal, 49 (4), 298–301. doi:10.1179/0008704112Z.00000000049
   Web of Science ®Google Scholar
• Guo, D., et al., 2005. Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Cartography and Geographic Information Science, 32 (2), 113–132. doi:10.1559/1523040053722150
   PubMedGoogle Scholar
• Heinrich, J. and Weiskopf, D., 2013. State of the art of parallel coordinates. In: M. Sbert and L. Szirmay-Kalos eds. Eurographics 2013: STAR – state of the art report. Geneva: The Eurographics Association, 95–116.
   Google Scholar
• Jacob, R.J.K. and Karn, K.S., 2003. Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: J. Hyona, R. Radach, and H. Deubel, eds. The mind’s eye: cognitive and applied aspects of eye movement research. Amsterdam: Elsevier Science, 573–605.
   Google Scholar
• Koua, E.L. and Kraak, M.-J., 2004. A usability framework for the design and evaluation of an exploratory geovisualization environment. In: Proceedings of the Eight International Conference on Information Visualization, 14–16 July 2004. Los Alamitos: IEEE, 153–158.
   Google Scholar
• Koua, E.L., MacEachren, A., and Kraak, M.-J., 2006. Evaluating the usability of visualization methods in an exploratory geovisualization environment. International Journal of Geographical Information Science, 20 (4), 425–448. doi:10.1080/13658810600607550
   Web of Science ®Google Scholar
• MacEachren, A. M. and Kraak, M.-J., 1997. Exploratory cartographic visualization: advancing the agenda. Computers & Geosciences, 23 (4), 335–343.
   Web of Science ®Google Scholar
• Marsh, S.L., Dykes, J., and Attilakou, F., 2006, Evaluating a geovisualization prototype with two approaches: remote instructional vs. face-to-face exploratory. In: Proceedings of the Information Visualization, 5–7 July 2006 London. Los Alamitos, CA: IEEE, 310–315.
   Google Scholar
• Mendonça, A.L.A. and Delazari, L.S., 2012. Remote evaluation of the execution of spatial analysis tasks with interactive web maps: a functional and quantitative approach. The Cartographic Journal, 49 (1), 7–20. doi:10.1179/1743277411Y.0000000020
   Web of Science ®Google Scholar
• Montello, D., 2009. Cognitive research in GIScience: recent achievements and future prospects. Geography Compass, 3 (5), 1824–1840. doi:10.1111/geco.2009.3.issue-5
   Google Scholar
• Nielsen, J., 1994. Usability engineering. San Francisco, CA: Morgan Kaufmann.
   Google Scholar
• Nielsen, J. and Pernice, K., 2010. Eyetracking web usability. Berkeley: New Riders.
   Google Scholar
• Ooms, K., et al., 2012. Interpreting maps through the eyes of expert and novice users. International Journal of Geographical Information Science, 26 (10), 1773–1788. doi:10.1080/13658816.2011.642801
   Web of Science ®Google Scholar
• Opach, T., Gołębiowska, I., and Fabrikant, S.I., 2014. How do people view multi-component animated maps? The Cartographic Journal, 51 (4), 330–342. doi:10.1179/1743277413Y.0000000049
   Web of Science ®Google Scholar
• Opach, T. and Rød, J.K., 2013. Cartographic visualization of vulnerability to natural hazards. Cartographica, 48 (2), 113–125. doi:10.3138/carto.48.2.1840
   Google Scholar
• Opach, T. and Rød, J.K., 2014. Do choropleth maps linked with parallel coordinates facilitate an understanding of multivariate spatial characteristics? Cartography and Geographic Information Science, 41 (5), 413–429. doi:10.1080/15230406.2014.953585
   Web of Science ®Google Scholar
• Rao, R. and Card, S.K., 1994. The table lens: merging graphical and symbolic representations in an interactive focus+context visualization for tabular data. In: Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems, April 1994 Boston, New York: ACM Press, 318–322.
   Google Scholar
• Roberts, J.C., 2007. State of the art: coordinated & multiple views in exploratory visualization. In: Proceedings of the Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization, 2 July 2007 Zurich, Los Alamitos: CPS, 61–71.
   Google Scholar
• Roberts, J.C., 2008. Coordinated multiple views for exploratory geovisualization. In: M. Dodge, M. McDerby, and M. Turner, eds. Geographic visualization. Chichester: John Wiley & Sons, 25–48.
   Google Scholar
• Robinson, A.C., et al., 2005. Combining usability techniques to design geovisualization tools for epidemiology. Cartography and Geographic Information Sciences, 32 (4), 243–255. doi:10.1559/152304005775194700
   PubMedGoogle Scholar
• Rød, J.K., Opach, T., and Neset, T.-S., 2015. Three core activities toward a relevant integrated vulnerability assessment: validate, visualize, and negotiate. Journal of Risk Research, 18 (7), 877–895. doi:10.1080/13669877.2014.923027
   Web of Science ®Google Scholar
• Shoval, N. and Isaacson, M., 2007. Sequence alignment as a method for human activity analysis in space and time. Annals of the Association of American Geographers, 97 (2), 282–297. doi:10.1111/j.1467-8306.2007.00536.x
   Web of Science ®Google Scholar
• Slocum, T.A., et al., 2001. Cognitive and usability issues in geovisualization. Cartography and Geographic Information Science, 28 (1), 61–75. doi:10.1559/152304001782173998
   Google Scholar
• Slocum, T.A., et al., 2003. Evaluating the usability of a tool for visualizing the uncertainty of the future global water balance. Cartography and Geographic Information Science, 30 (4), 299–317. doi:10.1559/152304003322606210
   Google Scholar
• Tobón, C., 2005. Evaluating geographic visualization tools and methods: an approach and experiment based upon user tasks. In: J. Dykes, A.M. MacEachren, and M.-J. Kraak, eds. Exploring geovisualization. Amsterdam: Elsevier, 645–666.
   Google Scholar
• Wehrend, S. and Lewis, C., 2000. A Problem-oriented classification of visualization techniques. In: Proceedings of the 1st IEEE Conference on Visualization, 23–26 October 1990, San Francisco, CA, 139–143.
   Google Scholar
• Wilson, C., 2008. Activity patterns in space and time: calculating representative Hagerstrand trajectories. Transportation, 35, 485–499. doi:10.1007/s11116-008-9162-z
   Web of Science ®Google Scholar
• Zhou, M.X. and Feiner, S.K., 1998. Visual task characterization for automated visual discourse synthesis. In: Human Factors in Computing Systems Conference, 18–23 April 1998 Los Angeles. New York: ACM Press, 392–399.
   Google Scholar