Skip to main content
SpringerLink
Log in

Introduction

  • Chapter
  • First Online:
Embodying Data

  • 203 Accesses

Abstract

This chapter is an overview of research background, significance and research questions of the book. It provides a discussion of traditional data visualization, which focuses on communication and understanding data; and aesthetic approach to data visualization, which enhances emotional engagement in the perception of visual images. Current research from the aesthetic perspective of data visualization identifies the potential to enhance emotional engagement in the perception of visual images, but is primarily based in Western aesthetic concepts with little reference to non-Western aesthetics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alexiadis, D. S., Kelly, P., Daras, P., O’Connor, N. E., Boubekeur, T., & Moussa, M. B. (2011). Evaluating a dancer’s performance using kinect-based skeleton tracking. In Proceedings of the 19th ACM International Conference on Multimedia (pp. 659–662).

    Google Scholar 

  • Borenstein, G. (2012). Making things see: 3D vision with Kinect, processing, Arduino, and MakerBot. Sebastopol, CA: O’Reilly Media.

    Google Scholar 

  • Budge, E. W. (1983). Easy lessons in Egyptian hieroglyphics (Vol. 3). Courier Corporation.

    Google Scholar 

  • Cardno, A. J., Ingham, P. S., Lewin, B. A., & Singh, A. K. (2018). U.S. Patent No. 9,870,629. Washington, DC: U.S. Patent and Trademark Office.

    Google Scholar 

  • Cawthon, N., & Moere, A. V. (2007). Qualities of perceived aesthetic in data visualization. In Proceedings of CHI Conference on Human Factors in Computing Systems. San Jose, USA.

    Google Scholar 

  • Corby, T. (2008). Landscapes of feeling, arenas of action: information visualization as art practice. Leonardo, 41(5), 460–467.

    Article  Google Scholar 

  • Cox, D. (2006). Metaphoric mappings: The art of visualization. In P. Fisher (Ed.), Aestheticscomputing (pp. 89–114). Cambridge, MA: MIT.

    Google Scholar 

  • Crystal, D. (1987). Logograms. In The Cambridge encyclopedia of language (pp. 200–201). Cambridge: Cambridge University Press.

    Google Scholar 

  • Eno, R. (2015). The analects of confucius: An online teaching translation. Retrieved from http://www.indiana.edu/~p374/Analects_of_Confucius_%28Eno-2015%29.pdf.

  • Evergreen, S. D. (2019). Effective data visualization: The right chart for the right data. Sage.

    Google Scholar 

  • Eyre, C., & Baines, J. (1989). Interactions between orality and literacy in ancient Egypt. Paper presented in the Conference “From Orality to Literacy and Back”.

    Google Scholar 

  • Fan, L. (2008). An Analysis on Chinese traditional philosophy and the relationship between Reality and Void. Gansu Higher Pedagogical Education Journal, 13(1), 72–73.

    Google Scholar 

  • Few, S., & Edge, P. (2007). Data visualization: Past, present, and future. IBM Cognos Innovation Center.

    Google Scholar 

  • Friendly, M. (2008). A brief history of data visualization. In Handbook of data visualization (pp. 15–56). Berlin, Heidelberg: Springer.

    Google Scholar 

  • Friendly, M. (2009). Milestones in the history of thematic cartography, statistical graphics, and data visualization. Retrieved from http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf.

  • Gallo, L., Placitelli, A. P., & Ciampi, M. (2011). Controller-free exploration of medical image data: Experiencing the Kinect. In 2011 24th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 1–6). IEEE.

    Google Scholar 

  • Gaviria, A. R. (2008). When is information visualization art? Determining the critical criteria. Leonardo, 41(5), 479–482.

    Article  Google Scholar 

  • Gliddon, G. R. (1847). Ancient Egypt: Her monuments, hieroglyphics, history and archæology, and other subjects connected with hieroglyphical literature. Taylor.

    Google Scholar 

  • Hagen, H., Barthel, H., Ebert, A., & Bender, M. (2003). Component-based intelligent visualization. In F. H. Post, G. M. Nielson, & G.-P.

    Google Scholar 

  • Hsu, H. J. (2011). The potential of Kinect in education. International Journal of Information and Education Technology, 1(5), 365–370.

    Article  Google Scholar 

  • Jörgenson, L., Kriz, R., Mones-Hattal, B., Rogowitz, B., & Fracchia, F. D. (1995). Is visualization struggling under the myth of objectivity? In Proceedings of the 6th IEEE Visualization Conference (VISUALIZATION ‘95) (pp. 412–415). Atlanta, USA.

    Google Scholar 

  • Judelman, G. (2004). Aesthetics and inspiration for visualization design: bridging the gap between art and science. In Proceedings in Eighth International Conference on Information Visualisation, IV (pp. 245–250). IEEE.

    Google Scholar 

  • Kant, I. (2007). Critique of judgement (J. C. Meredith, Trans.; N. Walker Ed.). New York, NY: Oxford University Press.

    Google Scholar 

  • Keightley, D. N. (1985). Sources of Shang history: The oracle-bone inscriptions of bronze age China. University of California Press.

    Google Scholar 

  • Keightley, D. N. (1996). Art, ancestors, and the origins of writing in China. Representations, 56, 68–95.

    Article  Google Scholar 

  • Knupp, D. F. (1999). U.S. Patent No. 5,966,672. Washington, DC: U.S. Patent and Trademark Office.

    Google Scholar 

  • Li, Z. (2009). Chinese aesthetic tradition (M. B. Samei, Trans.). Honolulu, USA: University of Hawaii Press.

    Google Scholar 

  • Liao, T.-L. (2011). Yijing: Mr. Wang meng-ou’s aesthetic of language. Danjiang Chinese Journal, 25(1), 131-172.

    Google Scholar 

  • Manovich, L. (2010). What is visualization? Retrieved from http://manovich.net/content/04-projects/063-what-is-visualization/61_article_2010.pdf.

  • Norman, D. (2004). Emotional design: Why we love (hate) everyday things. New York, NY: Basic Books.

    Book  Google Scholar 

  • Oresme, N. (1968). Nicole Oresme and the Medieval Geometry of Qualities and Motions: A Treatise on the Uniformity and Difformity Known as Tractatus de Configrationibus Qualitatum et Motuum. Madison, WI: University of Wisconsin Press.

    Google Scholar 

  • Osborne, H. (1968). Aesthetics and art theory: An historical introduction. London and Harlow: Longmans.

    Google Scholar 

  • Press, G. (2013). A very short history of data science. Retrieved June 24, 2018.

    Google Scholar 

  • Ritner, R. K. (1996). Egyptian writing (pp. 73–87). In Daniels & Bright (eds.).

    Google Scholar 

  • Rodenbeck, E. (2008). Information visualization is a medium. Retrieved from http://infosthetics.com/archives/2009/04/eric_rodenbeck_information_visualization_is_a_medium.html.

  • Tory, M., & Moller, T. (2004). Human factors in visualization research. IEEE Transactions on Visualization and Computer Graphics, 10(1), 72–84.

    Article  Google Scholar 

  • Tractinsky, N. (2004). Towards the study of aesthetics in information technology. In Proceedings of Twenty-Fifth International Conference on Information Systems (pp. 771–780). Washington, DC.

    Google Scholar 

  • Tseng, Y. H., & Zeng, Y. (1993). A history of Chinese calligraphy. Chinese University Press.

    Google Scholar 

  • Viegas, F. B., & Wattenberg, M. (2007). Artistic data visualization: beyond visual analytics. In Proceedings of the Second International Conference, OCSC 2007 Held as Part of HCI International 2007 (pp. 182–191). Beijing: Springer Berlin Heidelberg.

    Google Scholar 

  • Ward, M. O., Grinstein, G., & Keim, D. (2010). Interactive data visualization: Foundations, techniques, and applications. CRC Press.

    Google Scholar 

  • Ware, C. (2012). Information visualization: Perception for design. Burlington: Elsevier Science.

    Google Scholar 

  • Zhang, W. (2005). The inheritation and contribution of Zong Huabai’s Yijing theory. Retrieved from: http://www.kyoai.ac.jp/college/ronshuu/no-05/cho.pdf.

Download references

Author information

Authors and Affiliations

  1. Shanghai University of Engineering Science, Shanghai, China

    Qi Li

Authors
  1. Qi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qi Li .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Shanghai Jiao Tong University Press

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Li, Q. (2020). Introduction. In: Embodying Data. Springer, Singapore. https://doi.org/10.1007/978-981-15-5069-0_1

Download citation

Publish with us

Policies and ethics

Search

Navigation