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An Accessible Interaction Model for Data Visualisation in Statistics

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Computers Helping People with Special Needs (ICCHP 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10896))

Abstract

Data is everywhere and its communication and understanding is an important pre-requisite for the full participation of individuals in the information age. Good data visualisation is commonly used to great effect for the sighted world, but are practically useless to a blind audience. Blind people are at risk of being left behind if efforts are not made to improve the access to information that is not traditionally conveyed in text, whether that text be accessed in braille, audio, or a computer’s screen reading software. Our work aims to provide an accessible way for blind users to easily, efficiently, and most importantly accurately, explore and query the data contained in diagrams such as bar charts, box plots, time series, and many more. We employ the statistical software environment R not only as a means to generate accessible diagrams, but also as a way for blind users to directly interact with data in the same way as their sighted peers by supporting immediate data visualisation via screen reading and interactive exploration.

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References

  1. Brown, L., Brewster, S., Ramloll, S., Burton, R., Riedel, B.: Design guidelines for audio presentation of graphs and tables. In: Proceedings on Auditory Display (2003)

    Google Scholar 

  2. Calder, M., Cohen, R., Lanzoni, J., Xu, Y.: PLUMB: an interface for users who are blind to display, create and modify graphs. In: ASSETS 2006, pp. 263–264 (2006)

    Google Scholar 

  3. Cohen, R., Meacham, A., Skaff, J.: Teaching graphs to visually impaired students using an active auditory interface. ACM SIGCSE Bull. 38(1), 279–282 (2006)

    Article  Google Scholar 

  4. Ferres, L., Verkhogliad, P., Lindgaard, G., Boucher, L., Chretien, A., Lachance, M.: Improving accessibility to statistical graphs: the iGraph-Lite system. In: ASSETS 2007, pp. 67–74 (2007)

    Google Scholar 

  5. Freedom Scientific: JAWS Version 18. St. Petersburg, FL (2016)

    Google Scholar 

  6. Gardner, J., Bulatov, V.: Making scientific graphics accessible with ViewPlus IVEO. In: Proceedings of the 2008 International Conference on Technology and Persons with Disabilities (2008)

    Google Scholar 

  7. Godfrey, A.J.R.: BrailleR: Improved Access for Blind Users. Massey University (2016). R package version 0.24.2

    Google Scholar 

  8. Godfrey, A.J.R., Loots, M.T.: Advice from blind teachers on how to teach statistics to blind students. J. Stat. Educ. 23(3), 1–28 (2015)

    Article  Google Scholar 

  9. Mielke, D., Pitre, N., Doyon, S.: BRLTTY. http://mielke.cc/brltty/

  10. Murrell, P.: R Graphics. The R Series. Chapman & Hall/CRC Press, Boca Raton (2011)

    MATH  Google Scholar 

  11. Murrell, P., Potter, S.: The gridSVG package. R J. 6(1), 133–143 (2014)

    Article  Google Scholar 

  12. Nazemi, A., Murray, I.: A method to provide accessibility for visual components to vision impaired. Int. J. HCI 4(1), 54 (2013)

    Google Scholar 

  13. NVDA Team. NVDA Version 2017.1 (2017)

    Google Scholar 

  14. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2017)

    Google Scholar 

  15. TV Raman. Emacspeak. http://emacspeak.sourceforge.net

  16. Siegert, S., Williams, R.: sonify: Data Sonification - Turning Data into Sound (2017). R package version 0.0-1

    Google Scholar 

  17. Sorge, V.: Polyfilling accessible chemistry diagrams. In: Miesenberger, K., Bühler, C., Penaz, P. (eds.) ICCHP 2016. LNCS, vol. 9758, pp. 43–50. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-41264-1_6

    Chapter  Google Scholar 

  18. Sorge, V., Lee, M., Wilkinson, S.: End-to-end solution for accessible chemical diagrams. In: Proceedings of the 12th W4A Conference, pp. 6:1–6:10. ACM (2015)

    Google Scholar 

  19. RStudio Team. Rstudio: integrated development for R. RStudio Inc., Boston (2015). http://www.rstudio.com

  20. Yu, W., Kangas, K., Brewster, S: Web-based haptic applications for blind people to create virtual graphs. In: Proceedings of HAPTICS 2003, pp. 318–325. IEEE (2003)

    Google Scholar 

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Correspondence to Volker Sorge .

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Godfrey, A.J.R., Murrell, P., Sorge, V. (2018). An Accessible Interaction Model for Data Visualisation in Statistics. In: Miesenberger, K., Kouroupetroglou, G. (eds) Computers Helping People with Special Needs. ICCHP 2018. Lecture Notes in Computer Science(), vol 10896. Springer, Cham. https://doi.org/10.1007/978-3-319-94277-3_92

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  • DOI: https://doi.org/10.1007/978-3-319-94277-3_92

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94276-6

  • Online ISBN: 978-3-319-94277-3

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