Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps
Abstract
:1. Introduction
2. Animated Map and Visual Perception
2.1. Characteristics of Animated Maps
2.2. Change Blindness
3. Design of Animated Maps
3.1. Enumeration Units and Temporal States
3.2. Visual Variables and Cartographic Redundancy
3.3. Smooth vs. Abrupt Transition
3.4. Dynamic Variables on Animated Maps
4. User Testing
4.1. User Characterictics
4.2. The Course of the Experiment
5. Results
5.1. Reduction of Change Blindness
5.2. Response Time
6. Discussion
7. Summary
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Harrower, M. The Cognitive Limits of Animated Maps. Cartogr. Int. J. Geogr. Inf. Geovis. 2007, 42, 349–357. [Google Scholar] [CrossRef]
- Tversky, B.; Morrison, J.B.; Betrancourt, M. Animation: Can It Facilitate? Int. J. Hum. Comput. Stud. 2002, 57, 247–262. [Google Scholar] [CrossRef]
- Campbell, C.S.; Egbert, S.L. Animated Cartography: Thirty Years Scratching the Surface. Cartographica 1990, 27, 24–46. [Google Scholar] [CrossRef]
- Fish, C.; Goldsberry, K.P.; Battersby, S. Change Blindness in Animated Choropleth Maps: An Empirical Study. Cartogr. Geogr. Inf. Sci. 2011, 38, 350–362. [Google Scholar] [CrossRef]
- Sack, C.; Donohue, R.; Roth, R. Interactive and Multivariate Choropleth Maps with D3. Cartogr. Perspect. 2014, 78, 57–76. [Google Scholar] [CrossRef]
- Nowell, L.; Hetzel, E.; Tanasse, T. Change blindness in information visualization: A case study. In Proceedings of the IEEE Symposium on Information Visualization, San Diego, CA, USA, 22–23 October 2001. [Google Scholar]
- Simons, D.J.; Rensink, R. Change blindness: Past, Present, and Future. Trends Cogn. Sci. 2005, 9, 16–20. [Google Scholar] [CrossRef] [PubMed]
- Ledermann, F.; Gartner, G. Mapmap.js: A data-driven web API for thematic cartography. In Proceedings of the 27th International Cartographic Conference (ICC 2015), Rio de Janeiro, Brazil, 23–28 August 2015. [Google Scholar]
- MacEachren, A.M. How Maps Work, 1st ed.; Guildford: New York, NY, USA, 1995; ISBN 978-1572300408. [Google Scholar]
- Harrower, M. A look at the history and future of animated maps. Cartographica 2004, 39, 33–43. [Google Scholar] [CrossRef]
- Medyńska-Gulij, B. How the black line, dash and dot created the rules of cartographic design 400 years ago. Cartogr. J. 2013, 50, 356–368. [Google Scholar] [CrossRef]
- Slocum, T.; McMaster, R.; Kessler, F.; Howard, H. Thematic Cartography and Geovisualization, 3rd ed.; Englewood Cliffs: Prentice Hall, NJ, USA, 2009; ISBN 978-0132298346. [Google Scholar]
- DiBiase, D.; MacEachren, A.M.; Krygier, J.; Reeves, C. Animation and the Role of Map Design in Scientific Visualization. Cartogr. Geogr. Inf. Syst. 1992, 19, 201–214. [Google Scholar] [CrossRef]
- Kraak, M.-J.; Ormeling, F. Cartography: Visualization of Geospatial Data; Pearson Education Limited: London, UK, 2010; ISBN 978-0273722793. [Google Scholar]
- Medyńska-Gulij, B. Kartografia, Zasady i Zastosowania Geowizualizacji; Polish Scientific Publishers (PWN): Warsaw, Poland, 2015; ISBN 978-8301183288. [Google Scholar]
- Rensink, R.; O’Regan, J.K.; Clark, J.J. To See or Not to See: The Need for Attention to Perceive Changes in Scenes. Psychol. Sci. 1997, 8, 368–373. [Google Scholar] [CrossRef]
- Simons, D.J.; Levin, D.T. Change blindness. Trends Cogn. Sci. 1997, 1, 261–267. [Google Scholar] [CrossRef]
- Bertin, J. Semiology of Graphics: Diagrams, Networks, Maps; University of Wisconsin: Madison, WI, USA, 1983; ISBN 978-1589482616. [Google Scholar]
- Goldsberry, K.; Battersby, S. Issues of Change Detection in Animated Choropleth Maps. Cartographica 2009, 44, 201–215. [Google Scholar] [CrossRef]
- Fish, C. Cartographic Challenges in Animated Mapping. In Proceedings of the International Cartographic Conference Pre-Conference Workshop on Envisioning the Future of Cartographic Research, Curitiba, Brazil, 21 August 2015. [Google Scholar]
- Garlandini, S.; Fabrikant, S. Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization. In Spatial Information Theory. COSIT 2009; Horsby, K., Claramunt, C., Denis, M., Ligozat, G., Eds.; Springer: Berlin/Heidelberg, Germany, 2009; pp. 195–211. ISBN 978-3642038310. [Google Scholar]
- Metaferia, M.T. Visual Enhancement of Animated Time Series to Reduce Change Blindness. Master’s Thesis, Faculty ITC, University of Twente, Enschede, The Netherlands, 2011. [Google Scholar]
- Krassanakis, V.; Filippakopoulou, V.; Nakos, B. Detection of moving point symbols on cartographic backgrounds. J. Eye Mov. Res. 2016, 9, 1–16. [Google Scholar] [CrossRef]
- Edler, D.; Dickmann, F. Elevating Streets in Urban Topographic Maps Improves the Speed of Map-Reading. Cartographica 2015, 50, 217–223. [Google Scholar] [CrossRef]
- Weber, C.; Buttenfield, B. A cartographic animation of average yearly surface temperatures for the 48 contiguous states. Cartogr. Geogr. Inf. Syst. 1993, 20, 141–150. [Google Scholar] [CrossRef]
- Peterson, M. Interactive and Animated Cartography; Pretice Hall: Englewood Cliffs, NJ, USA, 1995; ISBN 978-0130791047. [Google Scholar]
- Lobben, A. Classification and Application of Cartographic Animation. Prof. Geogr. 2003, 55, 318–328. [Google Scholar] [CrossRef]
- Köbben, B.; Kraak, M.-J. Webcartography: Dissemination of Spatial Data on the Web. In Proceedings of the 2nd AGILE Conference on Geographic Information Science, Rome, Italy, 15–17 April 1999. [Google Scholar]
- Cartwright, W.; Peterson, M.; Gartner, G. Multimedia Cartography; Springer: Berlin/Heidelberg, Germany, 1999; ISBN 978-3540658184. [Google Scholar]
- Harrower, M. Tips for Designing Effective Animated Maps. Cartogr. Perspect. 2003, 44, 63–66. [Google Scholar] [CrossRef]
- Lloyd, R.E. Attention on Maps. Cartogr. Perspect. 2005, 52, 28–57. [Google Scholar] [CrossRef]
- Simons, D.J.; Chabris, C. Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception 1999, 28, 1059–1074. [Google Scholar] [CrossRef] [PubMed]
- Muehlenhaus, I. Web Cartography: Map Design for Interactive and Mobile Devices; CRC Press: Boca Raton, FL, USA, 2013; ISBN 978-1439876220. [Google Scholar]
- Andrienko, G.; Andrienko, N.; Demsar, U.; Dransch, D.; Dykes, J.; Fabrikant, S.; Jern, M.; Kraak, M.J.; Schumann, H.; Tominski, C. Space, time and visual analytics. Int. J. Geogr. Inf. Sci. 2010, 24, 1577–1600. [Google Scholar] [CrossRef]
- De Koning, B.; Tabbers, H.; Rikers, R.; Paas, F. Attention cueing in an instructional animation: The role of presentation speed. Comput. Hum. Behav. 2011, 27, 41–45. [Google Scholar] [CrossRef]
- Smaczyński, M.; Medyńska-Gulij, B. Low aerial imagery an assessment of georeferencing errors and the potential for use in environmental inventory. Geodesy Cartogr. 2017, 66, 89–104. [Google Scholar] [CrossRef]
- Battersby, S.; Goldsberry, K.P. Considerations in Design of Transition Behaviors for Dynamic Thematic Maps. Cartogr. Perspect. 2010, 65, 16–32. [Google Scholar] [CrossRef]
- Fabrikant, S.; Rebich-Hispanha, S.; Andrienko, N.; Andrienko, G.; Montello, D.R. Novel Method to Measure Influence Affordance in Static Small-Multiple Map Display Representing Dynamic Processes. Cartogr. J. 2008, 45, 201–215. [Google Scholar] [CrossRef]
- Simons, D.J.; Franconeri, S.L.; Reimer, R.L. Change blindness in the Absence of a Visual Disruption. Perception 2000, 29, 1143–1154. [Google Scholar] [CrossRef] [PubMed]
- O’Regan, J.K.; Noe, A. Experience is not something we feel but something we do: A principled way of explaining sensory phenomenology, with change blindness and other empirical consequences. In Proceedings of the 4th Conference of the Association for the Scientific Study of Consciousness, Brussels, Belgium, 29 June–2 July 2000. [Google Scholar]
- Pashler, H.E. Familiarity and Visual Change Detection. Percept. Psychophys. 1988, 44, 369–378. [Google Scholar] [CrossRef] [PubMed]
- Pylyshyn, Z.W.; Storm, R.W. Tracking Multiple Independent Targets: Evidence for a Parallel Tracking Mechanism. Spat. Vis. 1988, 3, 179–197. [Google Scholar] [CrossRef] [PubMed]
- Blok, C. Dynamic Visualization Variables in Animation to Support Monitoring of Spatial Phenomena. Ph.D. Thesis, Universiteit Utrecht, Utrecht, The Netherlands, 2005. [Google Scholar]
- Bétrancourt, M.; Tversky, B. Effects of computer animation on users performance: A review. Trav. Hum. 2000, 63, 311–329. [Google Scholar]
- Morrison, J.; Tversky, B. The (in)effectiveness of animation in instruction. In Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Seattle, WA, USA, 31 March–5 April 2001; Jacko, J., Sears, A., Eds.; ACM: New York, NY, USA, 2001; pp. 377–378. [Google Scholar]
- Griffin, A.L.; MacEachren, A.M.; Hardisty, F.; Steiner, E.; Li, B. A comparison of animated maps with static small-multiple maps for visually identifying space-time clusters. Ann. Assoc. Am. Geogr. 2006, 96, 740–753. [Google Scholar] [CrossRef]
- Miller, G. The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information. Psychol. Rev. 1956, 63, 81–97. [Google Scholar] [CrossRef] [PubMed]
- Klein, R.; Kingstone, A.; Pontefract, A. Orienting of Visual Attention. In Eye Movement and Visual Cognition: Scene Perception and Reading; Rayner, K., Ed.; Springer: New York, NY, USA, 1992; ISBN 978-1461276968. [Google Scholar]
- Cybulski, P. Design rules and practices for animated maps online. J. Spat. Sci. 2016, 61, 461–471. [Google Scholar] [CrossRef]
- Moon, S.; Kim, E.-K.; Hwang, C.-S. Effects of Spatial Distribution on Change Detection in Animated Choropleth Maps. J. Korean Soc. Surv. Geodesy Photogramm. Cartogr. 2014, 32, 571–580. [Google Scholar] [CrossRef]
- Yuan, X.; Chen, C.; Zhang, X.; Avery, J.; Xu, T. Effect of Domain Knowledge of User Performance and Perception in a Knowledge Domain Visualization System. In Design, User Experience, and Usability. Web, Mobile, and Product Design. DUXU 2013; Marcus, A., Ed.; Lecture Notes in Computer Science 8015; Springer: Berlin/Heidelberg, Germany, 2013; pp. 601–610. [Google Scholar]
- Fischer, S. Ursprung der Emotionalen Semantik von Kongruenten Farben und Tönen, Assoziationen und Emotionen Erwachsener sowie Blickpräferenzen in der Frühen Kindheit. Ph.D. Thesis, Universität Biefeld, Biefeld, Germany, 2012. [Google Scholar]
- Lübbe, E. Farbempfindung, Farbbeschreibung und Farbmessung: Eine Formel für die Farbsättigung; Springer: Berlin/Heidelberg, Germany; New York, NY, USA, 2012; ISBN 978-3834818010. [Google Scholar]
- Frank, A. Pragmatic Information Content How to Measure the Information in a Route. In Perspectives on Geographic Information Science; Goodchild, M., Duckham, M., Warboys, M., Eds.; Taylor and Francis: London, UK, 2003; pp. 47–68. ISBN 978-0415307260. [Google Scholar]
- Paraboni, I.; van Deemter, K.; Masthoff, J. Generating referring expressions: Making referents easy to identify. Comput. Liguist. 2007, 33, 229–254. [Google Scholar] [CrossRef]
- Schlienger, C.; Conversy, S.; Chatty, S.; Anquetin, M.; Mertz, C. Improving users’ comprehension of changes with animation and sound: An empirical assessment. In Proceedings of the 11th IFIP TC 13 International Conference on Human-Computer Interaction, Rio de Janeiro, Brazil, 10–14 September 2007; Baranauskas, C., Palanque, P., Abascal, J., Barbosa, S., Eds.; Springer: Berlin/Heidelberg, Germany, 2007; pp. 207–220. [Google Scholar]
- Liang, J.; Huang, M. Highlighting in information visualization: A survey. In Proceedings of the 14th International Conference on Information Visualization (IV), London, UK, 26–29 July 2010; pp. 79–85. [Google Scholar]
- Hall, K.; Perin, C.; Kusalik, P.; Gutwin, C.; Capendale, S. Formalizing Emphasis in Information Visualization. Comput. Graph. Forum 2016, 35, 717–737. [Google Scholar] [CrossRef]
- Köbben, B.; Yaman, M. Evaluating dynamic visual variables. In Proceedings of the Seminar on Teaching Animated Cartography, Madrid, Spain, 30 August–1 September 1995; pp. 45–51. [Google Scholar]
- Cybulski, P. Rotating Point Symbol on Animated Maps for the Presentation of Quantitative Data. Kartogr. Nachr. 2014, 4, 198–203. [Google Scholar]
- MacEachren, A.M. Time as a Cartographic Variable. In Visualization in Geographical Information Systems; Hearnshaw, H., Unwin, D.J., Eds.; John Wiley and Sons: Chchester, UK, 1994; pp. 115–130. ISBN 978-0471944355. [Google Scholar]
- Kraak, M.-J.; Klomp, A. A Classification of Cartographic Animations: Towards a Tool for the Design of Dynamic Maps in a GIS Environment. In Proceedings of the Seminar on Teaching Animated Cartography, Madrid, Spain, 30 August–1 September 1995; pp. 29–35. [Google Scholar]
- Wang, J.; Li, Z. Effectiveness of visual, screen and dynamic variables in animated mapping. In Proceedings of the 25th International Cartographic Conference, Paris, France, 3–8 July 2011. [Google Scholar]
- Maggi, S.; Fabrikant, S.; Imbert, J.-P.; Hurter, C. How Do Display Design and User Characteristics Matters in Animation? An Empirical Study with Air Traffic Control Displays. Cartographica 2016, 51, 25–37. [Google Scholar] [CrossRef]
- Ware, C. Visual Thinking for Design; Morgan Kaufmann Publishers: New York, NY, USA, 2008; ISBN 978-0123708960. [Google Scholar]
- Harrower, M. Unclassed Animated Choropleth Maps. Cartogr. J. 2007, 44, 313–320. [Google Scholar] [CrossRef]
- Blok, C.; Köbben, B.; Cheng, T.; Kuterema, A. Visualization of Relationships between Spatial Patterns in Time by Cartographic Animation. Cartogr. Geogr. Inf. Sci. 1999, 26, 139–151. [Google Scholar] [CrossRef]
- Desolneux, A.; Moisan, L.; Morel, J. From Gestalt Theory to Image Analysis: A Probabilistic Approach; Springer: New York, NY, USA, 2008; ISBN 978-0387726359. [Google Scholar]
- Dong, W.; Liao, H.; Xu, F.; Liu, Z.; Zhang, S. Using eye tracking to evaluate the usability of animated maps. Sci. China Earth Sci. 2014, 57, 512–522. [Google Scholar] [CrossRef]
- Gusev, A.; Mikhaylova, O.; Utochkin, I. Stimulus determinants of the phenomenon of change blindness. Psychol. Russ. State Art 2014, 7, 122–134. [Google Scholar] [CrossRef]
- Wolfe, J.M.; Horowitz, T.S. What Attributes Guide the Deployment of Visual Attention and how do they do it? Nat. Rev. Neurosci. 2004, 5, 1–7. [Google Scholar] [CrossRef] [PubMed]
- Halik, Ł. Medyńska-Gulij, B. The Differentiation of Point Symbols using Selected Visual Variables in the Mobile Augmented Reality System. Cartogr. J. 2016, 54, 147–156. [Google Scholar] [CrossRef]
- Robinson, A. Highlighting in geovisualization. Cartogr. Geogr. Inf. Sci. 2011, 38, 373–383. [Google Scholar] [CrossRef]
- Cinnamon, J.; Rinner, C.; Cusimano, M.; Marshall, S.; Bekele, T.; Hernandez, T.; Glazier, R.; Chipman, M. Evaluating web-based static, animated and interactive maps for injury prevention. Geospat. Health 2009, 4, 3–16. [Google Scholar] [CrossRef] [PubMed]
- Medyńska-Gulij, B.; Cybulski, P. Spatio-temporal dependencies between hospital beds, physicians and health expenditure using visual variables and data classification in statistical table. Geodesy Cartogr. 2016, 65, 67–80. [Google Scholar] [CrossRef]
- Horbiński, T.; Medyńska-Gulij, M. Geovisualization as a process of creating complementary visualizations: Static two-dimensional, surface three-dimensional, and interactive. Geodesy Cartogr. 2017, 66, 45–58. [Google Scholar] [CrossRef]
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Cybulski, P.; Medyńska-Gulij, B. Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps. ISPRS Int. J. Geo-Inf. 2018, 7, 8. https://doi.org/10.3390/ijgi7010008
Cybulski P, Medyńska-Gulij B. Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps. ISPRS International Journal of Geo-Information. 2018; 7(1):8. https://doi.org/10.3390/ijgi7010008
Chicago/Turabian StyleCybulski, Paweł, and Beata Medyńska-Gulij. 2018. "Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps" ISPRS International Journal of Geo-Information 7, no. 1: 8. https://doi.org/10.3390/ijgi7010008