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Revisiting Visualization Task Taxonomies: Specifying Functions for the Data Transformations Stage

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Human-Computer Interaction. Design and User Experience (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12181))

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Abstract

Several visualization task taxonomies have been defined in the literature, taking into account several factors, such as the user’s goals when analyzing a visual representation of data, the data characteristics, how they are mapped onto the visualization, to name a few. Some studies also use task taxonomies as a tool to evaluate the effectiveness of visual representations. Because each task taxonomy may have been created for a different purpose, we find that they often overlap, and the task definitions are often implicit or ambiguous. We have analyzed several visualization taxonomies, and realized they crosscut different stages of the visualization process. In this work, we focus on the data transformations stage and define a set of data functions related to the tasks in the studied taxonomies. We specify these functions to bring clarity and consistency, as well as to enable them to be used in different scenarios. This work is a first step toward a more comprehensive visualization ontology.

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Notes

  1. 1.

    In this and all other cases that may receive a function as input, the function may also receive additional input, depicted by the ellipsis.

References

  1. Amar, R., Eagan, J., Stasko, J.: Low-level components of analytic activity in information visualization. In: 2005 IEEE Symposium on Information Visualization. INFOVIS 2005, pp. 111–117, October 2005. https://doi.org/10.1109/INFVIS.2005.1532136

  2. Beshers, C., Feiner, S.: AutoVisual: rule-based design of interactive multivariate visualizations. IEEE Comput. Graphics Appl. 13(4), 41–49 (1993). https://doi.org/10.1109/38.219450

    Article  Google Scholar 

  3. Brehmer, M., Munzner, T.: A multi-level typology of abstract visualization tasks. IEEE Trans. Visual. Comput. Graphics 19(12), 2376–2385 (2013). https://doi.org/10/f5h3q4

  4. Chen, Y., Yang, J., Ribarsky, W.: Toward effective insight management in visual analytics systems. In: Proceedings of the 2009 IEEE Pacific Visualization Symposium. PACIFICVIS 2009, pp. 49–56. IEEE Computer Society, USA (2009). https://doi.org/10.1109/PACIFICVIS.2009.4906837

  5. Choi, I.K., Childers, T., Raveendranath, N.K., Mishra, S., Harris, K., Reda, K.: Concept-driven visual analytics: an exploratory study of model-and hypothesis-based reasoning with visualizations. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–14 (2019)

    Google Scholar 

  6. Fujishiro, I., Ichikawa, Y., Furuhata, R., Takeshima, Y.: GADGET/IV: a taxonomic approach to semi-automatic design of information visualization applications using modular visualization environment. In: Proceedings of the IEEE Symposium on Information Visualization 2000. INFOVIS 2000, pp. 77–83. IEEE (2000)

    Google Scholar 

  7. Keller, P.R., Keller, M.M., Markel, S., Mallinckrodt, A.J., McKay, S.: Visual cues: practical data visualization. Comput. Phys. 8(3), 297–298 (1994)

    Article  Google Scholar 

  8. Lee, B., Plaisant, C., Parr, C.S., Fekete, J.D., Henry, N.: Task taxonomy for graph visualization. In: Proceedings of the 2006 AVI Workshop on BEyond Time and Errors Novel Evaluation Methods for Information Visualization - BELIV 2006, p. 1. ACM Press, Venice (2006). https://doi.org/10.1145/1168149.1168168

  9. Lee, S., Kim, S., Hung, Y., Lam, H., Kang, Y., Yi, J.S.: How do people make sense of unfamiliar visualizations?: a grounded model of novice’s information visualization sensemaking. IEEE Trans. Visual. Comput. Graphics 22(1), 499–508 (2016). https://doi.org/10/gfw4vs

  10. Lee, S., Kim, S., Kwon, B.C.: VLAT: development of a visualization literacy assessment test. IEEE Trans. Visual. Comput. Graphics 23(1), 551–560 (2017). https://doi.org/10/f92d38

  11. Rodrigues, A.M.B., Barbosa, G.D.J., Lopes, H., Barbosa, S.D.J.: Comparing the effectiveness of visualizations of different data distributions. In: 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 84–91, October 2019. https://doi.org/10.1109/SIBGRAPI.2019.00020. ISSN 1530-1834

  12. Roth, S.F., Mattis, J.: Data characterization for intelligent graphics presentation. In: Proceedings of the Conference on Human Factors in Computing Systems (SIGCHI 1990), pp. 193–200. ACM Press (1990)

    Google Scholar 

  13. Sarikaya, A., Gleicher, M.: Scatterplots: tasks, data, and designs. IEEE Trans. Visual. Comput. Graphics 24(1), 402–412 (2018). https://doi.org/10/gcp79j

  14. Schulz, H., Nocke, T., Heitzler, M., Schumann, H.: A design space of visualization tasks. IEEE Trans. Visual. Comput. Graphics 19(12), 2366–2375 (2013). https://doi.org/10/f5h3mb

  15. Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings 1996 IEEE Symposium on Visual Languages, pp. 336–343, September 1996. https://doi.org/10.1109/VL.1996.545307

  16. Srinivasan, A., Stasko, J.: Natural language interfaces for data analysis with visualization: considering what has and could be asked. In: Proceedings of the Eurographics/IEEE VGTC Conference on Visualization: Short Papers. EuroVis 2017, pp. 55–59. Eurographics Association, Goslar, DEU (2017). https://doi.org/10.2312/eurovisshort.20171133

  17. Valiati, E.R.A., Pimenta, M.S., Freitas, C.M.D.S.: A taxonomy of tasks for guiding the evaluation of multidimensional visualizations. In: Proceedings of the 2006 AVI Workshop on BEyond Time and Errors: Novel Evaluation Methods for Information Visualization. BELIV 2006, Venice, Italy, pp. 1–6. ACM, New York (2006). https://doi.org/10/ckfz4w

  18. Ware, C.: Information Visualization: Perception for Design, 3rd edn. Morgan Kaufmann, Waltham (2012)

    Google Scholar 

  19. Wehrend, S., Lewis, C.: A problem-oriented classification of visualization techniques. In: 1990 Proceedings of the 1st Conference on Visualization. VIS 1990, pp. 139–143. IEEE Computer Society Press, Los Alamitos (1990). http://dl.acm.org/citation.cfm?id=949531.949553

  20. Zhou, M.X., Feiner, S.K.: Automated visual presentation: from heterogeneous information to coherent visual discourse. J. Intell. Inf. Syst. 11(3), 205–234 (1998). https://doi.org/10/d8f764

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Acknowledgements

The authors thank CAPES and CNPq (grant #311316/2018-2) for the financial support to their work.

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Authors and Affiliations

  1. Departamento de Informatica, PUC-Rio, Gavea, Rio de Janeiro, Brazil

    Ariane Moraes Bueno Rodrigues, Gabriel Diniz Junqueira Barbosa, Raul de Araújo Lima, Dieinison Jack Freire Braga, Hélio Côrtes Vieira Lopes & Simone Diniz Junqueira Barbosa

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  1. Ariane Moraes Bueno Rodrigues
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  2. Gabriel Diniz Junqueira Barbosa
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  3. Raul de Araújo Lima
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  4. Dieinison Jack Freire Braga
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  5. Hélio Côrtes Vieira Lopes
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  6. Simone Diniz Junqueira Barbosa
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Correspondence to Ariane Moraes Bueno Rodrigues .

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  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

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Rodrigues, A.M.B., Barbosa, G.D.J., de Araújo Lima, R., Jack Freire Braga, D., Côrtes Vieira Lopes, H., Barbosa, S.D.J. (2020). Revisiting Visualization Task Taxonomies: Specifying Functions for the Data Transformations Stage. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12181. Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_48

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  • DOI: https://doi.org/10.1007/978-3-030-49059-1_48

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  • Online ISBN: 978-3-030-49059-1

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