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Untangling Rhetoric, Pathos, and Aesthetics in Data Visualization (2304.10540v4)

Published 8 Apr 2023 in cs.HC

Abstract: In contemporary discourse, logos (reason) and, more recently, ethos (credibility) in data communication have been discussed extensively. While the concept of Pathos has enjoyed great interest in the VIS community over the past few years, its connection to similar but relevant concepts like aesthetics and rhetoric remains unexplored. In this paper, we provide definitions of these terms and explore their overlaps and differences in light of their historical development. Examining the historical perspective offers a deeper understanding of how these approaches in science and philosophy have evolved over time, offering a more comprehensive embedding into the design process and its role within it. Drawing from Campbell's seven circumstances, we illustrate how pathos is being used as a rhetorical device in data visualizations today, at times inadvertently.

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References (119)
  1. Manifesto for Putting "Chartjunk" in the Trash 2021!, 2021. https://vdl.sci.utah.edu/blog/2021/09/19/chartjunk/ [Accessed: 10.09.2022].
  2. Analysis of the efficacy and reliability of the Moodies app for detecåting emotions through speech: Does it actually work? Computers in Human Behavior, 104, 2020. doi: 10 . 1016/j . chb . 2019 . 106156
  3. Aristoteles. Rhetorik. UTB für Wissenschaft, 159. Fink Verl., Munich, 5. ed., 1995.
  4. Useful junk?: the effects of visual embellishment on comprehension and memorability of charts. In Conf. on Human Factors in Comp. Systems (CHI), p. 2573, 2010. doi: 10 . 1145/1753326 . 1753716
  5. Distress and empathy: Two qualitatively distinct vicarious emotions with different motivational consequences. Journal of personality, 55(1):19–39, 1987.
  6. An eye for an eye? The Washington Post, May 2014. https://www.washingtonpost.com/wp-srv/special/outlook/death-penalty/ [Accessed: 20.09.2022].
  7. P. Bloom. Against Empathy. Boston review, 39, 2014.
  8. P. Bloom. Against empathy: the case for rational compassion. Ecco, New York, 2016.
  9. J. Boehnert. Data visualisation does political things. DRS2016: Design+ research+ society: Future-focused thinking, 2016.
  10. W. C. Booth. The Rhetorical Stance. College composition and communication, 14:145, 1963. doi: 10 . 2307/355048
  11. Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data? In Conf. on Human Factors in Comp. Systems (CHI), pp. 5462–5474, 2017. doi: 10 . 1145/3025453 . 3025512
  12. L. E. Brasseur. Visualizing technical information: A cultural critique (Baywood’s technical communications series). Bay Press, Incorporated, 2003.
  13. Examining the cognitive processes used by adolescent girls and women scientists in identifying science role models: A feminist approach. Science Education, 92(4):688–707, 2008.
  14. K. Busch and I. Därmann. "Pathos": Konturen eines kulturwissenschaftlichen Grundbegriffs. Kultur- und Medientheorie. Transcript, Bielefeld, 2007.
  15. Learning visual importance for graphic designs and data visualizations. In arXiv.org. Cornell University Library, arXiv.org, Ithaca, 2017.
  16. A. Cairo. The functional art: an introduction to information graphics and visualization. New Riders, Berkeley, 2013.
  17. G. Campbell. The Philosophy of Rhetoric. Edited with a new introduction by Lloyd F. Bitzer. Landmarks in Rhetoric and Public Address Ser. Southern Illinois University Press, 2008.
  18. S. Campbell. The Rhetoric of Pathos in Visualization. Master’s thesis, Northeastern University Boston, 2018.
  19. S. Campbell and D. Offenhuber. Feeling numbers. The emotional impact of proximity techniques in visualization. Information design journal, 25:71–86, 2019. doi: 10 . 1075/idj . 25 . 1 . 06cam
  20. M. Correll. Ethical dimensions of visualization research. In Conf. on Human Factors in Comp. Systems (CHI), pp. 1–19. ACM, 2019.
  21. J. Crampton. Maps as social constructions: Power, communication and visualization. Progress in Human Geography - PROG HUM GEOGR, 25:235–252, 06 2001. doi: 10 . 1191/030913201678580494
  22. J. Crossman. The role of relationships and emotions in student perceptions of learning and assessment. Higher Education Research & Development, 26(3):313–327, 2007. doi: 10 . 1080/07294360701494328
  23. R. Dachselt. Pathos. Tradition und Aktualität einer vergessenen Kategorie der Poetik. Frankfurter Beiträge zur Germanistik. Winter, Heidelberg, 2003.
  24. M. F. Dahlstrom. Using narratives and storytelling to communicate science with nonexpert audiences. Proceedings of the National Academy of Sciences of the United States of America, 111:13614–13620, 9 2014. doi: 10 . 1073/pnas . 1320645111
  25. C. D’Ignazio. Data feminism. Strong ideas. The MIT Press,, Cambridge, Massachusetts, 2020.
  26. Immersive and collaborative data visualization using virtual reality platforms. In 2014 IEEE International Conference on Big Data (Big Data), pp. 609–614. IEEE, Washington, DC, USA, Oct. 2014. doi: 10 . 1109/BigData . 2014 . 7004282
  27. Struggling to make sense of it all: The emotional process of sensemaking following an extreme incident. Human Relations, p. 00187267211059464, 2021.
  28. Tied in knots: A case study on anthropographic data visualization about sexual harassment in the academy. In 2020 IEEE VIS Arts Program (VISAP), pp. 29–44, 2020. doi: 10 . 1109/VISAP51628 . 2020 . 00010
  29. Population.io, 2022. https://population.io/ [Accessed: 11.09.2022].
  30. S. Few. Information visualization for the masses – the dialogue continues, 2007. https://www.perceptualedge.com/blog/?p=199 [Accessed: 11.09.2022].
  31. S. Few. Should Data Visualizations Be Beautiful?, 2012. http://www.perceptualedge.com/blog/?p=1169 [Accessed: 10.09.2022].
  32. J. Fung. Manhattan Population Explorer, 2016. http://manpopex.us/ [Accessed: 11.09.2022].
  33. H. G. Funkhouser. Historical development of the graphical representation of statistical data. Osiris, 3:269–404, 1937.
  34. M. Gessmann. Pathos/pathetisch. Ästhetische Grundbegriffe. Historisches Wörterbuch in sieben Bänden. Stuttgart/Weimar: J. B. Metzler, 724–739, 2002.
  35. I. Ghosh. The 50 Richest Women in the World in 2021, 2021. https://www.visualcapitalist.com/50-richest-women-in-the-world-2021/ [Accessed: 11.09.2022].
  36. R. Graphics. The collapse of insects, Dec. 2022. https://www.reuters.com/graphics/GLOBAL-ENVIRONMENT/INSECT-APOCALYPSE/egpbykdxjvq/ [Accessed: 08.12.2022].
  37. Development and validation of the vicarious distress questionnaire. Canadian journal of behavioural science, 44(2):138–145, 2012.
  38. The Fallen of World War II. fallen.io. http://www.fallen.io/ [Accessed: 10.09.2022].
  39. P. Hanrahan. Information visualization for the masses – the dialogue continues. Visual Business Intelligence, 2007.
  40. J. Harris. Connecting with the Dots, 2015.
  41. B. Hayer. Die Rückkehr des Pathos. Frankfurter Rundschau, January 2021. https://www.fr.de/kultur/gesellschaft/die-rueckkehr-des-pathos-90163875.html [Accessed: 20.09.2022].
  42. C. Heath and M. Abrahams. Make Numbers Count: How to Translate Data for Your Audience. Insights by Stanford Business, 2022. https://www.gsb.stanford.edu/insights/make-numbers-count-how-translate-data-your-audience [Accessed: 08.12.2022].
  43. C. Heath and K. Starr. Making Numbers Count. The art and science of communicating numbers. Bantam Press, London/Dublin, 2022.
  44. M. Heraghty. The Difference Between UX and Usability, 2011. https://www.userjourneys.com/blog/difference-ux-usability/ [Accessed: 20.09.2022].
  45. M. Herczeg. Software-Ergonomie. Walter de Gruyter GmbH, Berlin/Boston, 4. ed., 2018. doi: 10 . 1515/9783110446869
  46. K. Herding and B. Stumpfhaus. Pathos, Affekt, Gefühl: Die Emotionen in den Künsten. De Gruyter, Berlin, 2004.
  47. N. Holmes. Designer’s Guide to Creating Charts and Diagrams. Watson-Guptill, n. n., 1991.
  48. Personal Visualization and Personal Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 21(3):420–433, Mar. 2015. doi: 10 . 1109/TVCG . 2014 . 2359887
  49. J. Hullman and N. Diakopoulos. Visualization rhetoric: Framing effects in narrative visualization. IEEE Trans Vis Comput Graph, 17:2240, 2011. doi: 10 . 1109/TVCG . 2011 . 255
  50. P. Interactive. Out of Sight, Out of Mind. http://drones.pitchinteractive.com/ [Accessed: 20.09.2022].
  51. A Walk Among the Data. IEEE Computer Graphics and Applications, 39(3):19–28, May 2019. doi: 10 . 1109/MCG . 2019 . 2898941
  52. C. Jordan. Running the Numbers: An American Self-Portrait, 2006. http://www.chrisjordan.com/gallery/rtn/##unsinkable [Accessed: 15.09.2022].
  53. D. Kahneman. Thinking, fast and slow. Penguin books: Penguin psychology. Penguin Books, London, 2012.
  54. D. Kahneman and A. Tversky. Choices, values, and frames. Cambridge Univ. Press, Cambridge, 2000.
  55. H. Kennedy and R. L. Hill. The Feeling of Numbers: Emotions in Everyday Engagements with Data and Their Visualisation. Sociology, 52(4):830–848, 2018. doi: 10 . 1177/0038038516674675
  56. Explaining the gap: Visualizing one’s predictions improves recall and comprehension of data. In Conf. on Human Factors in Comp. Systems (CHI), p. 1375–1386, 2017. doi: 10 . 1145/3025453 . 3025592
  57. A bayesian cognition approach to improve data visualization. In Conf. on Human Factors in Comp. Systems (CHI), pp. 1–14. ACM, 2019.
  58. C. N. Knaflic. Storytelling with data. A data visualization guide for business professionals. John Wiley & Sons, Inc., Hoboken, New Jersey, 2015.
  59. Frames and slants in titles of visualizations on controversial topics. Conf. on Human Factors in Comp. Systems (CHI), pp. 1–12, 2018.
  60. A. Koop and N. Routley. The World Leaders In Positions of Power (1970-Today), 2021. https://www.visualcapitalist.com/visualized-world-leaders-in-positions-of-power/ [Accessed: 11.09.2022].
  61. C. Kostelnick. The visual rhetoric of data displays: The conundrum of clarity. IEEE Transactions on Professional Communication, 51(1):116–130, 2008. doi: 10 . 1109/TPC . 2007 . 908725
  62. C. Kostelnick. The re-emergence of emotional appeals in interactive data visualization. Technical Communication, 16(2):116–135, 2016.
  63. G. Lakoff. Why it matters how we frame the environment. Environmental Communication, 4(1):70–81, March 2010. doi: 10 . 1080/17524030903529749
  64. Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design. IEEE Transactions on Visualization and Computer Graphics, 28(1):933–943, Jan. 2022. doi: 10 . 1109/TVCG . 2021 . 3114775
  65. Smile or Scowl? Looking at Infographic Design Through the Affective Lens. IEEE Transactions on Visualization and Computer Graphics, 27(6):2796–2807, June 2021. doi: 10 . 1109/TVCG . 2021 . 3074582
  66. Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data Stories. In Conf. on Human Factors in Comp. Systems (CHI), pp. 1–14, 2022.
  67. SketchStory: Telling More Engaging Stories with Data through Freeform Sketching. IEEE transactions on visualization and computer graphics, 19(12):2416–2425, 2013. Place: LOS ALAMITOS Publisher: IEEE.
  68. E. Lee-Robbins and E. Adar. Affective Learning Objectives for Communicative Visualizations. IEEE Transactions on Visualization and Computer Graphics, pp. 1–11, 2022. doi: 10 . 1109/TVCG . 2022 . 3209500
  69. Using Artificial Intelligence to Visualize the Impacts of Climate Change. IEEE Computer Graphics and Applications, 41(1):8–14, 2021. doi: 10 . 1109/MCG . 2020 . 3025425
  70. From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics. In CHI Conference on Human Factors in Computing Systems, pp. 1–15. CHI ’20, 2020.
  71. S. A. Matei and L. Hunter. Data storytelling is not storytelling with data: A framework for storytelling in science communication and data journalism. The Information Society, 37(5):312–3225, 2021. doi: 10 . 1080/01972243 . 2021 . 1951415
  72. Affective data visualization: A preliminary study-manipulating emotions with data visualizations. In International Symposium on Affective Science and Engineering ISASE2018, pp. 1–6. Japan Society of Kansei Engineering, 2018.
  73. What makes a good student? how emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of educational psychology, 106(1):121–131, 2014.
  74. M. Meyer and J. Dykes. Criteria for rigor in visualization design study. IEEE Transactions on Visualization and Computer Graphics (InfoVis), 26(1):87–97, 2019.
  75. Can anthropographics promote prosociality? a review and large-sample study. In Conf. on Human Factors in Comp. Systems (CHI), 2021. doi: 10 . 1145/3411764 . 3445637
  76. L. C. Muth. A data point walks into a bar, 2016. https://lisacharlottemuth.com/2016/12/27/datapoint-in-bar/ [Accessed: 20.09.2022].
  77. Data Storytelling als kritischer Erfolgsfaktor von Data Science. HMD Praxis der Wirtschaftsinformatik, 57(5):1033–1046, 2020.
  78. O. Neurath. From Hieroglyphics to Isotype: A Visual Autobiography. Hyphen Press, London, 2010.
  79. D. A. Norman. The design of everyday things. Basic Books, New York, 2013.
  80. E. Ocak. A Critical Inquiry on Data Visualization Based Interactive Documentary: "The Fallen of World War II" as an example. Avanca Cinema, pp. 366–370, 2021.
  81. Video conferencing during emergency distance learning impacted student emotions during COVID-19. Computers in Human Behavior Reports, 7:100199, 2022. doi: 10 . 1016/j . chbr . 2022 . 100199
  82. MemoryBook: generating narratives from lifelogs. In Proceedings of the 2nd workshop on Narrative and hypertext - NHT ’12, p. 7. ACM Press, Milwaukee, Wisconsin, USA, 2012. doi: 10 . 1145/2310076 . 2310079
  83. Data is personal: Attitudes and perceptions of data visualization in rural pennsylvania. In Conf. on Human Factors in Comp. Systems (CHI), p. 1–12. New York, NY, USA, 2019. doi: 10 . 1145/3290605 . 3300474
  84. Periscopic. U.S. Gun Killings in 2018, 2018. https://guns.periscopic.com/ [Accessed: 20.09.2022].
  85. J. Prinz. Against empathy. Southern Journal of Philosophy, 49(SUPPL. 1):214–233, 2011. doi: 10 . 1111/j . 2041-6962 . 2011 . 00069 . x
  86. Treepedia. https://senseable.mit.edu/treepedia/ [Accessed: 12.09.2022].
  87. Agency and Interactive Data Displays: Internet Graphics as Co-Created Rhetorical Spaces. Technical Communication Quarterly, 23(4):303–322, oct 2014. doi: 10 . 1080/10572252 . 2014 . 942468
  88. B. R. Rees. Pathos in the poetics of aristotle. Greece and Rome, 19(1):1–11, 1972. doi: 10 . 1017/S0017383500016636
  89. Dear Pictograph: Investigating the Role of Personalization and Immersion for Consuming and Enjoying Visualizations. In Conf. on Human Factors in Comp. Systems (CHI), pp. 1–13. ACM, Apr. 2020. doi: 10 . 1145/3313831 . 3376348
  90. H. Rosling. Factfulness. Ten reasons we’re wrong about the world - and why things are better than you think. Sceptre, London, 2019.
  91. J. Ross. The 20 Fastest Growing Jobs in the Next Decade, 2021. https://www.visualcapitalist.com/the-20-fastest-growing-jobs-in-the-next-decade/ [Accessed: 11.09.2022].
  92. Art, affect and color: Creating engaging expressive scientific visualization. In 2018 IEEE VIS Arts Program (VISAP), 2018. doi: 10 . 1109/VISAP45312 . 2018 . 9046053
  93. S. Scarr. Iraq’s bloody toll. http://www.simonscarr.com/iraqs-bloody-toll [Accessed: 12.09.2022].
  94. The effect of message framing on security behavior in online services : Focusing on the shift of time orientation via psychological ownership. Computers in Human Behavior, 93:357–369, 2019. doi: 10 . 1016/j . chb . 2018 . 12 . 035
  95. T. Singer and O. M. Klimecki. Empathy and compassion. Current Biology, 24(18):R875–R878, 2014. doi: 10 . 1016/j . cub . 2014 . 06 . 054
  96. P. Slovic. If I Look at the Mass I Will Never Act: Psychic Numbing and Genocide. Judgment and decision making, 2(2):79–95, 2007.
  97. P. Slovic and D. Västfjäll. The More Who Die, the Less We Care. Psychic Numbing and Genocide. In Numbers and Nerves. Information, Emotion, and Meaning in a World of Data, pp. 27–41. Oregon State University Press, Oregon, 2015.
  98. S. Slovic and P. Slovic. Numbers and Nerves. Information, Emotion, and Meaning in a World of Data. Oregon State University Press, Oregon, 2015.
  99. D. Smith. World Population Density, 2015. http://luminocity3d.org/WorldPopDen/##10/48.7974/2.4252 [Accessed: 12.09.2022].
  100. J. G. Sulzer. Allgemeine Theorie der schönen Künste: Von K bis R. Heilmann, Biel, 1777.
  101. V. Talt. Turn Empathy Into Compassion Without the Empathic Distress, 2019. https://www.psychologytoday.com/us/blog/pulling-through/201912/turn-empathy-compassion-without-the-empathic-distress [Accessed: 20.09.2022].
  102. N. Y. Times. Covid Deaths US, 2022. https://www.nytimes.com/interactive/2022/05/13/us/covid-deaths-us-one-million.html [Accessed: 12.09.2022].
  103. Construal Levels and Psychological Distance: Effects on Representation, Prediction, Evaluation, and Behavior. Journal of Consumer Psychology, 17(2):83–95, 2007. doi: 10 . 1016/S1057-7408(07)70013-X
  104. E. R. Tufte. Envisioning Information. Graphic Press, CT, USA, 1990.
  105. E. R. Tufte. Beautiful evidence. Graphics Press, CT, USA, 2006.
  106. E. R. Tufte. The visual display of quantitative information. Graphics Press, Cheshire, Conn., 2. ed., 2007.
  107. The influences of emotion on learning and memory. Frontiers in psychology, 8:1454–1454, 2017.
  108. S. Vora. The power of data storytelling. SAGE Publications Indi, Thousand Oaks, 2007.
  109. Countries by Alcohol Consumption Per Capita, 2021. https://www.visualcapitalist.com/mapped-countries-by-alcohol-consumption-per-capita/ [Accessed: 11.09.2022].
  110. A. E. Walzer. Campbell on the passions: A rereading of the philosophy of rhetoric. The Quarterly journal of speech, 85:72–85, 1999. doi: 10 . 1080/00335639909384242
  111. Scale framing, benefit framing and their interaction effects on energy-saving behaviors: Evidence from urban residents of China. Energy Policy, 166:113005, 2022. doi: 10 . 1016/j . enpol . 2022 . 113005
  112. Color design for illustrative visualization. IEEE Transactions on Visualization and Computer Graphics, 14(6):1739–1754, 2008. doi: 10 . 1109/TVCG . 2008 . 118
  113. An Emotional Response to the Value of Visualization. IEEE Computer Graphics and Applications, 39(5):8–17, 2019. doi: 10 . 1109/MCG . 2019 . 2923483
  114. I. Webster and P. Jenniskens. Orionids meteor shower. https://www.meteorshowers.org/view/Orionids [Accessed: 12.09.2022].
  115. G. Wiggins and J. McTighe. Understanding by design. Ascd, 2005.
  116. L. Winerman. 4 questions for Paul Bloom. Monitor on Psychology, 48(5), 2017.
  117. M. Zer-Aviv. DataViz—The UnEmpathetic Art, 2015. https://responsibledata.io/2015/10/19/dataviz-the-unempathetic-art/ [Accessed: 20.09.2022].
  118. Primacy effect of emotions in social stories: User engagement behaviors with breast cancer narratives on Facebook. Computers in Human Behavior, 137(January):107405, 2022. doi: 10 . 1016/j . chb . 2022 . 107405
  119. C. Zumbusch. Pathos: Zur Geschichte einer problematischen Kategorie. Akademie Verlag, Berlin/Boston, 2010.

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