Papers
Topics
Authors
Recent
Search
2000 character limit reached

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships

Published 19 Apr 2024 in cs.HC | (2404.12952v1)

Abstract: Visual augmentations are commonly added to charts and graphs in order to convey richer and more nuanced information about relationships in the data. However, many design spaces proposed for categorizing augmentations were defined in a top-down manner, based on expert heuristics or from surveys of published visualizations. Less well understood are user preferences and intuitions when designing augmentations. In this paper, we address the gap by conducting a design elicitation study, where study participants were asked to draw the different ways they would visually express the meaning of ten different prompts. We obtained 364 drawings from the study, and identified the emergent categories of augmentations used by participants. The contributions of this paper are: (i) a user-defined design space of visualization augmentations, (ii) a repository of hand drawn augmentations made by study participants, and (iii) a discussion of insights into participant considerations, and connections between our study and existing design guidelines.

Authors (3)
Definition Search Book Streamline Icon: https://streamlinehq.com
References (40)
  1. Integrating annotations into multidimensional visual dashboards. Information Visualization (2021), 14738716221079591.
  2. Affective color in visualization. In Proceedings of the 2017 CHI conference on human factors in computing systems. 1364–1374.
  3. Useful junk? The effects of visual embellishment on comprehension and memorability of charts. In Proceedings of the SIGCHI conference on human factors in computing systems. 2573–2582.
  4. An empirical study on using visual embellishments in visualization. IEEE Transactions on Visualization and Computer Graphics 18, 12 (2012), 2759–2768.
  5. What makes a visualization memorable? IEEE transactions on visualization and computer graphics 19, 12 (2013), 2306–2315.
  6. Can I believe what I see? Data visualization and trust in the humanities. Interdisciplinary Science Reviews 46, 4 (2021), 522–546.
  7. Patrick Breheny and Woodrow Burchett. 2017. Visualization of regression models using visreg. R J. 9, 2 (2017), 56.
  8. VizBelle: A Design Space of Embellishments for Data Visualization. arXiv preprint arXiv:2209.03642 (2022).
  9. Yang Chen and Jing Yang. 2013. ManyInsights: A visual analytics approach to supporting effective insight management. Tsinghua Science and Technology 18, 2 (2013), 171–181.
  10. Michael Correll and Jeffrey Heer. 2017. Regression by eye: Estimating trends in bivariate visualizations. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 1387–1396.
  11. A task-based taxonomy of cognitive biases for information visualization. IEEE transactions on visualization and computer graphics 26, 2 (2018), 1413–1432.
  12. Sean E Ellis and Dennis P Groth. 2004. A collaborative annotation system for data visualization. In Proceedings of the working conference on Advanced Visual Interfaces. 411–414.
  13. Stephen Few and Perceptual Edge. 2011. The chartjunk debate. Visual Business Intelligence Newsletter, no. June (2011), 1–11.
  14. Provenance for computational tasks: A survey. Computing in science & engineering 10, 3 (2008), 11–21.
  15. Generalized selection via interactive query relaxation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 959–968.
  16. Voyagers and voyeurs: supporting asynchronous collaborative information visualization. In Proceedings of the SIGCHI conference on Human factors in computing systems. 1029–1038.
  17. Benefitting infovis with visual difficulties. IEEE Transactions on Visualization and Computer Graphics 17, 12 (2011), 2213–2222.
  18. Contextifier: automatic generation of annotated stock visualizations. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2707–2716.
  19. Minimalism in information visualization: attitudes towards maximizing the data-ink ratio. In Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore! 185–188.
  20. Can you verifi this? studying uncertainty and decision-making about misinformation using visual analytics. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 12.
  21. Robert Kosara and Jock Mackinlay. 2013. Storytelling: The next step for visualization. Computer 46, 5 (2013), 44–50.
  22. Claire Lauer and Shaun O’Brien. 2020. The deceptive potential of common design tactics used in data visualizations. In Proceedings of the 38th ACM International Conference on Design of Communication. 1–9.
  23. More than telling a story: Transforming data into visually shared stories. IEEE computer graphics and applications 35, 5 (2015), 84–90.
  24. Huiyang Li and Nadine Moacdieh. 2014. Is “chart junk” useful? An extended examination of visual embellishment. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 58. Sage Publications Sage CA: Los Angeles, CA, 1516–1520.
  25. Data Hunches: Incorporating Personal Knowledge into Visualizations. arXiv preprint arXiv:2109.07035 (2021).
  26. Susie Lu. [n. d.]. Annotation. https://d3-annotation.susielu.com/
  27. A framework for externalizing implicit error using visualization. IEEE transactions on visualization and computer graphics 25, 1 (2018), 925–935.
  28. Characterizing provenance in visualization and data analysis: an organizational framework of provenance types and purposes. IEEE transactions on visualization and computer graphics 22, 1 (2015), 31–40.
  29. Chartaccent: Annotation for data-driven storytelling. In 2017 IEEE Pacific Visualization Symposium (PacificVis). Ieee, 230–239.
  30. Barbara AC Saunders and J van Brakel. 2002. The trajectory of color. Perspectives on Science 10, 3 (2002), 302–355.
  31. James A Schirillo. 2001. Tutorial on the importance of color in language and culture. Color Research & Application: Endorsed by Inter-Society Color Council, The Colour Group (Great Britain), Canadian Society for Color, Color Science Association of Japan, Dutch Society for the Study of Color, The Swedish Colour Centre Foundation, Colour Society of Australia, Centre Français de la Couleur 26, 3 (2001), 179–192.
  32. Using color in visualization: A survey. Computers & Graphics 35, 2 (2011), 320–333.
  33. Augmenting visualizations with interactive data facts to facilitate interpretation and communication. IEEE transactions on visualization and computer graphics 25, 1 (2018), 672–681.
  34. Edward R Tufte. 1985. The visual display of quantitative information. The Journal for Healthcare Quality (JHQ) 7, 3 (1985), 15.
  35. Manyeyes: a site for visualization at internet scale. IEEE transactions on visualization and computer graphics 13, 6 (2007), 1121–1128.
  36. Howard Wainer. 1984. How to display data badly. The American Statistician 38, 2 (1984), 137–147.
  37. A formative study of interactive bias metrics in visual analytics using anchoring bias. In IFIP Conference on Human-Computer Interaction. Springer, 555–575.
  38. Line graph or scatter plot? automatic selection of methods for visualizing trends in time series. IEEE transactions on visualization and computer graphics 24, 2 (2017), 1141–1154.
  39. Create an annotation layer - annotate. https://ggplot2.tidyverse.org/reference/annotate.html
  40. Correlation judgment and visualization features: A comparative study. IEEE transactions on visualization and computer graphics 25, 3 (2018), 1474–1488.
Citations (1)
View on Semantic Scholar

Summary

No one has generated a summary of this paper yet.

Sign Up to Summarize

Paper to Video (Beta)

No one has generated a video about this paper yet.

Sign Up to Generate All Videos Subscribe on YouTube

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Sign Up to Generate

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Generate Now

Continue Learning

We haven't generated follow-up questions for this paper yet.

Generate Now

Collections

Sign up for free to add this paper to one or more collections.

Sign Up

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.

Sign Up for Free