Cognitive and psychological science insights to improve climate change data visualization (2024)

References

  1. IPCC Climate Change 2014: Synthesis Report (eds Pachauri, R. K. et al.) (Cambridge Univ. Press, 2014).

  2. Clayton, S. et al. Psychological research and global climate change. Nat. Clim. Change 5, 640–646 (2015).

    Article Google Scholar

  3. Dilling, L. & Lemos, M. C. Creating usable science: opportunities and constraints for climate knowledge use and their implications for science policy. Glob. Environ. Change 21, 680–689 (2011).

    Article Google Scholar

  4. Overpeck, J. T., Meehl, G. A., Bony, S. & Easterling D. R. Climate data challenges in the 21st century. Science 331, 700–702 (2011).

    Article CAS Google Scholar

  5. Barkemeyer, R., Dessai, S., Monge-Sanz, B., Renzi, B. G. & Napolitano, G. Linguistic analysis of IPCC summaries for policymakers and associated coverage. Nat. Clim. Change 6, 311–317 (2016).

    Article Google Scholar

  6. Hollin, G. J. S. & Pearce, W. Tension between scientific certainty and meaning complicates communication of IPCC reports. Nat. Clim. Change 5, 753–756 (2015).

    Article Google Scholar

  7. Budescu, D. V., Por, H. H., Broomell, S. B. & Smithson, M. The interpretation of IPCC probabilistic statements around the world. Nat. Clim. Change 4, 508–512 (2014).

    Article Google Scholar

  8. McMahon, R., Stauffacher, M. & Knutti, R. The unseen uncertainties in climate change: reviewing comprehension of an IPCC scenario graph. Climatic Change 133, 141–154 (2015). A study showing the misinterpretation of an IPCC SPM graphic by non-experts (that is, individuals who are not climate scientists).

    Article Google Scholar

  9. Mahony, M. & Hulme, M. The colour of risk: an exploration of the IPCC's “burning embers” diagram. Spontaneous Generations 6, 75–89 (2012).

    Google Scholar

  10. Stofer, K. & Che, X. Comparing experts and novices on scaffolded data visualizations using eye-tracking. J. Eye Mov. Res. http://doi.org/bsng (2014).

  11. Daron, J. D., Lorenz, S., Wolski, P., Blamey, R. C. & Jack, C. Interpreting climate data visualisations to inform adaptation decisions. Clim. Risk Manage. 10, 17–26 (2015).

    Article Google Scholar

  12. Nocke, T., Sterzel, T., Böttinger, M. & Wrobel, M. in Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research (eds Ehlers, M. et al.) 226–232 (Wichmann, 2008).

    Google Scholar

  13. Hegarty, M. The cognitive science of visual–spatial displays: implications for design. Top. Cogn. Sci. 3, 446–474 (2011). A review highlighting the different ways in which graphics can augment cognition.

    Article Google Scholar

  14. O'Neill, S., Williams, H. T. P., Kurz, T., Wiersma, B. & Boykoff, M. Dominant frames in legacy and social media coverage of the IPCC Fifth Assessment Report. Nat. Clim. Change 5, 380–385 (2015).

    Article Google Scholar

  15. IPCC Expert Meeting on Communication Meeting Report (eds Lynn, J. et al.) (World Meteorological Organization, 2016). Meeting report providing recommendations for the communication of future IPCC reports and engaging with stakeholders.

  16. Pinker, S. in Artificial Intelligence and the Future of Testing (ed. Freedle, R.) 73–126 (Lawrence Erlbaum Associates, 1990).

    Google Scholar

  17. Neisser, U. Cognition and Reality: Principles and Implications of Cognitive Psychology (W. H. Freeman & Company, 1976).

    Google Scholar

  18. Clark, A. Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav. Brain Sci. 36, 181–204 (2013).

    Article Google Scholar

  19. diSessa, A. A. Metarepresentation: native competence and targets for instruction. Cognition Instruct. 22, 293–331 (2004).

    Article Google Scholar

  20. Smallman, H. S. & St John, M. Naïve realism: misplaced faith in realistic displays. Ergon. Des. 13, 6–13 (2005).

    Google Scholar

  21. Zacks, J., Levy, E., Tversky, B. & Schiano, D. J. Reading bar graphs: effects of extraneous depth cues and graphical context. J. Exp. Psychol. Appl. 4, 119–138 (1998).

    Article Google Scholar

  22. Hegarty, M., Smallman, H. S., Stull, A. T. & Canham, M. S. Naïve cartography: how intuitions about display configuration can hurt performance. Cartographica 44, 171–186 (2009).

    Article Google Scholar

  23. Rayner, K. Eye movements and attention in reading, scene perception, and visual search. Q. J. Exp. Psychol. 62, 1457–1506 (2009).

    Article Google Scholar

  24. Simons, D. J. & Chabris, C. F. Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception 28, 1059–1074 (1999).

    Article CAS Google Scholar

  25. Wolfe, J. M. & Horowitz, T. S. What attributes guide the deployment of visual attention and how do they do it? Nat. Rev. Neurosci. 5, 495–501 (2004).

    Article CAS Google Scholar

  26. Bruce, V., Green, P. R. & Georgeson, M. A. Visual Perception: Physiology, Psychology and Ecology. (Psychology Press, 2003).

    Google Scholar

  27. Hommel, B., Pratt, J., Colzato, L. & Godijn, R. Symbolic control of visual attention. Psychol. Sci. 12, 360–365 (2001).

    Article CAS Google Scholar

  28. Itti, L. & Koch, C. Computational modelling of visual attention. Nat. Rev. Neurosci. 2, 194–203 (2001).

    Article CAS Google Scholar

  29. Rosenholtz, R., Dorai, A. & Freeman, R. Do predictions of visual perception aid design? ACM Trans. Appl. Percep. http://doi.org/dj4tdb (2011).

  30. Grant, E. R. & Spivey, M. J. Eye movements and problem solving: guiding attention guides thought. Psychol. Sci. 14, 462–466 (2003). A study demonstrating that directing visual attention can support individuals in solving a problem depicted in a graphic.

    Article Google Scholar

  31. Henderson, J. M., Weeks, P. A. & Hollingworth, A. The effects of semantic consistency on eye movements during complex scene viewing. J. Exp. Psychol. Hum. Percept. Perform. 25, 210–228 (1999).

    Article Google Scholar

  32. Brunyé, T. T. & Taylor, H. A. When goals constrain: eye movements and memory for goal-oriented map study. Appl. Cognitive Psych. 23, 772–787 (2009).

    Article Google Scholar

  33. Carpenter, P. A. & Shah, P. A model of the perceptual and conceptual processes in graph comprehension. J. Exp. Psychol. Appl. 4, 75–100 (1998).

    Article Google Scholar

  34. Peebles, D. & Cheng, P. C. H. Modeling the effect of task and graphical representation on response latency in a graph reading task. Hum. Factors 45, 28–46 (2003).

    Article Google Scholar

  35. Hegarty, M., Canham, M. S. & Fabrikant, S. I. Thinking about the weather: how display salience and knowledge affect performance in a graphic inference task. J. Exp. Psychol. Learn. Mem. Cogn. 36, 37–53 (2010).

    Article Google Scholar

  36. Potter, K. et al. Ensemble-vis: a framework for the statistical visualization of ensemble data. In IEEE Int. Conference on Data Mining Workshops (eds Saygin, Y. et al.) 233–240 (2009).

    Google Scholar

  37. Meyer, J., Shinar, D. & Leiser, D. Multiple factors that determine performance with tables and graphs. Hum. Factors 39, 268–286 (1997).

    Article Google Scholar

  38. Shah P., Mayer, R. E. & Hegarty, M. Graphs as aids to knowledge construction: signaling techniques for guiding the process of graph comprehension. J. Educ. Psychol. 91, 690–702 (1999).

    Article Google Scholar

  39. Rosenholtz, R., Li, Y. & Nakano, L. Measuring visual clutter. J. Vision http://doi.org/bqtpr4 (2007).

  40. Neider, M. B. & Zelinsky, G. J. Cutting through the clutter: searching for targets in evolving complex scenes. J. Vision http://doi.org/bq8n55 (2011).

  41. Baldassi, S., Megna, N. & Burr, D. C. Visual clutter causes high-magnitude errors. PLoS Biol. 4, e56 (2006).

    Article CAS Google Scholar

  42. Coco, M. I. & Keller, F. The impact of visual information on reference assignment in sentence production. In Proc. 31st Annual Conference Cognitive Science Society (eds Taatgen, N. & van Rijn, H.) 274–279 (Cognitive Science Society, 2009).

    Google Scholar

  43. Kosslyn, S. M. Graph Design for the Eye and Mind (OUP, 2006).

    Book Google Scholar

  44. Chase, W. G. & Simon, H. A. Perception in chess. Cognitive Psychol. 4, 55–81 (1973).

    Article Google Scholar

  45. Gobet, F. Chunking models of expertise: implications for education. Appl. Cognitive Psych. 19, 183–204 (2005).

    Article Google Scholar

  46. Wickens, C. D. & Carswell, C. M. The proximity compatibility principle: its psychological foundation and relevance to display design. Hum. Factors 37, 473–494 (1995).

    Article Google Scholar

  47. Decisions Taken with Respect to the Review of IPCC Processes and Procedures: Communications Strategy (IPCC, 2012); www.ipcc.ch/meetings/session35/IAC_CommunicationStrategy.pdf

  48. Tversky, B. in Handbook of Higher-Level Visuospatial Thinking (eds Shah, P. & Miyake, A.) 1–34 (Cambridge Univ. Press, 2005).

    Book Google Scholar

  49. Heiser, J. & Tversky, B. Arrows in comprehending and producing mechanical diagrams. Cognitive Sci. 30, 581–592 (2006).

    Article Google Scholar

  50. Lakoff, G. & Johnson, M. The metaphorical structure of the human conceptual system. Cognitive Sci. 4, 195–208 (1980).

    Article Google Scholar

  51. Ho, H. N., Van Doorn, G. H., Kawabe, T., Watanabe, J. & Spence, C. Colour-temperature correspondences: when reactions to thermal stimuli are influenced by colour. PLoS ONE 9, e91854 (2014).

    Article CAS Google Scholar

  52. Kövecses, Z. Metaphor in culture: universality and variation (Cambridge Univ. Press, 2005).

    Book Google Scholar

  53. Shah, P. & Carpenter, P. A. Conceptual limitations in comprehending line graphs. J. Exp. Psychol. Gen. 124, 43–61 (1995).

    Article Google Scholar

  54. Joshi, M., Hawkins, E., Sutton R., Lowe, J. & Frame, D. Projections of when temperature change will exceed 2 °C above pre-industrial levels. Nat. Clim. Change 1, 407–412 (2011).

    Article Google Scholar

  55. Trickett, S. B., Trafton, J. G., Saner, L. & Schunn, C. D. in Thinking with Data (eds Lovett, M. C. & Shah, P.) 65–85 (Psychology Press, 2007).

    Google Scholar

  56. Trafton, J. G. et al. Turning pictures into numbers: extracting and generating information from complex visualizations. Int. J. Hum. Comput. Stud. 53, 827–850 (2000).

    Article Google Scholar

  57. Trafton, J. G., Trickett, S. B. & Mintz, F. E. Connecting internal and external representations: spatial transformations of scientific visualizations. Found. Sci. 10, 89–106 (2005). A study demonstrating that experts use complex mental spatial transformations to make inferences about scientific data presented in graphics.

    Article Google Scholar

  58. Trafton, J. G., Marshall, S., Mintz, F. & Trickett, S. B. in Diagrammatic Representation and Inference, Volume 2317 Lecture Notes in Computer Science (eds Hegarty, M. et al.) 206–220 (Springer Berlin, 2002).

    Google Scholar

  59. Mayer, R. E. Multimedia Learning (Cambridge Univ. Press, 2009).

    Book Google Scholar

  60. Holsanova, J., Holmberg, N. & Holmqvist, K. Reading information graphics: the role of spatial contiguity and dual attentional guidance. Appl. Cognitive Psychol. 23, 1215–1226 (2009). A study showing the cognitive benefits of closely integrating graphics with their associated text.

    Article Google Scholar

  61. Ginns, P. Integrating information: a meta-analysis of the spatial contiguity and temporal contiguity effects. Learn. Instr. 16, 511–525 (2006).

    Article Google Scholar

  62. Tufte, E. R. Beautiful Evidence (Graphics Press, 2006).

    Google Scholar

  63. Loewenstein, J. & Gentner, D. Relational language and the development of relational mapping. Cognitive Psychol. 50, 315–353 (2005).

    Article Google Scholar

  64. Harold, J., Coventry, K. R., Lorenzoni, I. & Shipley, T. F. Making sense of time-series data: how language can help identify long-term trends. In Proc. 37th Annual Meeting of the Cognitive Science Society (eds Noelle, D. C. et al.) 872–877 (Cognitive Science Society, 2015).

    Google Scholar

  65. Coventry, K. R., Christophel, T. B., Fehr, T., Valdés-Conroy, B. & Herrmann, M. Multiple routes to mental animation: language and functional relations drive motion processing for static Images. Psychol. Sci. 24, 1379–1388 (2013).

    Article Google Scholar

  66. Light, A. & Bartlein, P. J. The end of the rainbow? Color schemes for improved data graphics. Eos 85, 385–391 (2004).

    Article Google Scholar

  67. Thierry, G., Athanasopoulos, P., Wiggett, A., Dering, B. & Kuipers, J. R. Unconscious effects of language-specific terminology on preattentive color perception. Proc. Natl Acad. Sci. USA 106, 4567–4570 (2009).

    Article CAS Google Scholar

  68. Moreland, K. Diverging color maps for scientific visualization. In Proc. 5th International Symposium on Advances in Visual Computing: Part II (eds Bebis, G. et al.) 92–103 (Springer-Verlag Berlin, 2009).

    Chapter Google Scholar

  69. Harrower, M. & Brewer, C. A. ColorBrewer.org: an online tool for selecting colour schemes for maps. Cartogr. J. 40, 27–37 (2003).

    Article Google Scholar

  70. Shipley, T. F., Tikoff, B., Ormand, C. & Manduca, C. Structural geology practice and learning, from the perspective of cognitive science. J. Struct. Geol. 54, 72–84 (2013).

    Article Google Scholar

  71. Hambrick, D. Z. et al. A test of the circumvention-of-limits hypothesis in scientific problem solving: the case of geological bedrock mapping. J. Exp. Psychol. Gen. 141, 397–403 (2012).

    Article Google Scholar

  72. Shaki S., Fischer M. H. & Petrusic W. M. Reading habits for both words and numbers contribute to the SNARC effect. Psychon. B. Rev. 16, 328–331 (2009).

    Article Google Scholar

  73. Torralba, A., Oliva, A., Castelhano, M. S. & Henderson, J. M. Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychol. Rev. 113, 766–786 (2006).

    Article Google Scholar

  74. Ratwani, R. M. & Trafton, J. G. (2008). Shedding light on the graph schema: Perceptual features versus invariant structure. Psychon. B. Rev. 15, 757–762 (2008).

    Article Google Scholar

  75. Gentner, D. & Gentner, D. R. in Mental Models (eds Gentner, D. & Stevens, A. L.) 99–129 (Lawrence Erlbaum Associates, 1983).

    Google Scholar

  76. Sterman, J. D. & Sweeney, L. B. Understanding public complacency about climate change: adults' mental models of climate change violate conservation of matter. Climatic Change 80, 213–238 (2007).

    Article CAS Google Scholar

  77. Gigerenzer, G., Hertwig, R., van den Broek, E., Fasolo, B. & Katsikopoulos, K. V. “A 30% chance of rain tomorrow”: How does the public understand probabilistic weather forecasts? Risk Anal. 25, 623–629 (2005).

    Article Google Scholar

  78. Budescu, D. V., Broomell, S. & Por, H. H. Improving communication of uncertainty in the reports of the Intergovernmental Panel on Climate Change. Psychol. Sci. 20, 299–308 (2009).

    Article Google Scholar

  79. Spiegelhalter, D., Pearson, M. & Short, I. Visualizing uncertainty about the future. Science 333, 1393–1400 (2011). A review highlighting the challenges of visually communicating uncertainty to diverse audiences.

    Article CAS Google Scholar

  80. Andrienko, G. et al. Space, time and visual analytics. Int. J. Geogr. Inf. Sci. 24, 1577–1600 (2010).

    Article Google Scholar

  81. Crampton, J. W. Interactivity types in geographic visualization. Cartogr. Geogr. Inf. Sci. 29, 85–98 (2002).

    Article Google Scholar

  82. Cohen, C. A. & Hegarty, M. Individual differences in use of external visualisations to perform an internal visualisation task. Appl. Cognitive Psych. 21, 701–711 (2007).

    Article Google Scholar

  83. Tversky, B., Morrison, J. B. & Betrancourt, M. Animation: Can it facilitate? Int. J. Hum. Comput. Stud. 57, 247–262 (2002).

    Article Google Scholar

  84. Mayer, R. E., Hegarty, M., Mayer, S. & Campbell, J. When static media promote active learning: annotated illustrations versus narrated animations in multimedia instruction. J. Exp. Psychol. Appl. 11, 256–265 (2005).

    Article Google Scholar

  85. Lowe, R. K. Extracting information from an animation during complex visual learning. Eur. J. Psychol. Educ. 14, 225–244 (1999).

    Article Google Scholar

  86. Lowe, R. K. Animation and learning: selective processing of information in dynamic graphics. Learn. Instr. 13, 157–176 (2003).

    Article Google Scholar

  87. Hegarty, M., Kriz, S. & Cate, C. The roles of mental animations and external animations in understanding mechanical systems. Cognition Instruct. 21, 325–360 (2003).

    Article Google Scholar

  88. 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. 96, 740–753 (2006).

    Article Google Scholar

  89. Betrancourt, M. in The Cambridge Handbook of Multimedia Learning (ed. Mayer, R. E.) 287–296 (Cambridge Univ. Press, 2005).

    Book Google Scholar

  90. Shipley, T. F., Fabrikant, S. I. & Lautenschütz, A. K. in Cognitive and Linguistic Aspects of Geographic Space (eds Raubal, M. et al.) 259–270 (Springer-Verlag Berlin, 2013).

    Book Google Scholar

  91. Report of the 41st Session of the IPCC (IPCC, 2015); http://ipcc.ch/meetings/session41/final_report_p41.pdf

  92. Rapley, C. G. et al. Time for Change? Climate Science Reconsidered, Report of the UCL Policy Commission on Communicating Climate Science (UCL Policy Commission on Communicating Climate Science, 2014).

    Google Scholar

  93. Davis, M., Lowe, R., Steffen, S., Doblas-Reyes, F. & Rodó, X. in Communicating Climate-Change and Natural Hazard Risk and Cultivating Resilience (eds Drake, J. L. et al.) 95–113 (Springer International Publishing, 2016).

    Book Google Scholar

  94. Fabrikant, S. I., Hespanha, S. R. & Hegarty, M. Cognitively inspired and perceptually salient graphic displays for efficient spatial inference making. Ann. Assoc. Am. Geogr. 100, 13–29 (2010). A study demonstrating the interaction between bottom-up and top-down cognitive processing of graphics, and the diagnostic value of eye-tracking data.

    Article Google Scholar

  95. Kosslyn, S. M. Understanding charts and graphs. Appl. Cognitive Psych. 3, 185–225 (1989).

    Article Google Scholar

  96. Meier, B. P. & Robinson, M. D. Why the sunny side is up: associations between affect and vertical position. Psychol. Sci. 15, 243–247 (2004).

    Article Google Scholar

  97. IPCC: Summary for Policymakers. In Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).

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Cognitive and psychological science insights to improve climate change data visualization (2024)
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