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AUTHOR(S): Majed Alsafyani, Colin Egan, Amanda L. Jefferies
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TITLE Is Information Always Informative? Perhaps to you, but is it to the Colour-Vision Deficient? |
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ABSTRACT Every day we are surrounded by information which is supplied in many forms and we might be expected to make important decisions from that information. However, it may not be possible for all recipients of the information to make such necessary and informed decisions. In this paper we focus on the difficulties encountered by those who suffer from colour-vision deficiencies. We provide one mechanism of a potential solution to information derived from the frequently used pie-chart which are commonly used by businesses to visually represent (raw) data as information. We use the pie-chart creation tutorial provided by MSDN to highlight how the colour-vision deficient might have difficulties in interpreting information. Our potential solution is an image processing software tool called the HCBEenhanced. HCBEenhanced identifies the actual pie-chart within an image, which we call the Region of Concern (ROC) and any legend provided within the image. HCBEenhanced then inserts a halo around each segment of the pie-chart, which we call the halo-effect of segments. This new pie-chart is then provided as an output file to the user. We demonstrate that those suffering from colour-vision deficiencies, by use of HCBEenhanced, can have significant improvements in the ability to interpret the information that was intended from the original pie-chart. |
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KEYWORDS Colour-vision deficient, colourblind, information, data, image, image processing, pie-chart, Microsoft Developer Network (MSDN) |
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REFERENCES [1] Colour Bilnd Awarenes. http://www.colourblindawareness.org/colourblindness/living-with-colour-vision-deficiency/ [date of last access 26 July 2016]. [2] Egan C., Jefferies A., Dipple E. and Smith D. Do you see what I see? Understanding the challenges of colour-blindness in online learning, School of Computer Science, University of Hertfordshire, Hatfield UK, 2011. [3] Egan C., Jefferies A., Dipple E. and Smith D. ‘Do You See What I See? Understanding the Challenges of Colour-Blindness in Online Learning’ In Greeners, ,S. & Rospiglio, A. (Eds) Proceedings of the 10th European Conference for E-Learning, Brighton, UK, API pp. 210-217, 2011 [4] NHS Choices, http://www.nhs.uk/conditions/Colour-visiondeficiency/Pages/Introduction.aspx [date of last access 26 July 2016]. [5] Deeb S. S., and Motulsky A. G. Red-Green Color Vision Defects, GeneReviews, Last Update 2015. [6] Geissbuehler M., and Lasser T., How to display data by color schemes compatible with redgreen color perception deficiencies, Optics Express Vol. 21, Issue 8, pp. 9862-9874, 2013. [7] Poret S., Dony R, D., Gregori S. Image processing for colour blindness correction, Science and Technology for Humanity (TICSTH), IEEE Toronto International Conference, 26-27 Sept. 2009, pp 539 – 544. [8] Microsoft Developer Network Tutorial, https://msdn.microsoft.com/enus/library/dd255283.aspx [date of last access 26 July 2016]. [9] Joint Photographic Experts Group, https://jpeg.org/jpeg/index.html]. [date of last access 26 July 2016]. [10] Food Standards Agency, http://tna.europarchive.org/20120419000433/htt p://www.food.gov.uk/multimedia/pdfs/publicatio n/foodtrafficlight1107.pdf [date of last access 03 October 2016]. |
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Cite this paper Majed Alsafyani, Colin Egan, Amanda L. Jefferies. (2016) Is Information Always Informative? Perhaps to you, but is it to the Colour-Vision Deficient?. International Journal of Computers, 1, 259-266 |
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