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How People with Low Vision Access Computing Devices: Understanding Challenges and Opportunities

Published:23 October 2016Publication History

ABSTRACT

Low vision is a pervasive condition in which people have difficulty seeing even with corrective lenses. People with low vision frequently use mainstream computing devices, however how they use their devices to access information and whether digital low vision accessibility tools provide adequate support remains understudied. We addressed these questions with a contextual inquiry study. We observed 11 low vision participants using their smartphones, tablets, and computers when performing simple tasks such as reading email. We found that participants preferred accessing information visually than aurally (e.g., screen readers), and juggled a variety of accessibility tools. However, accessibility tools did not provide them with appropriate support. Moreover, participants had to constantly perform multiple gestures in order to see content comfortably. These challenges made participants inefficient-they were slow and often made mistakes; even tech savvy participants felt frustrated and not in control. Our findings reveal the unique needs of low vision people, which differ from those of people with no vision and design opportunities for improving low vision accessibility tools.

References

  1. Beyer, H. and Holtzblatt, K. 1997. Contextual Design: Defining Customer-Centered Systems. Elsevier. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Blindness Solutions: JAWS: http://www.freedomscientific.com/Products/Blindness/JAWS. Accessed: 2016-05-06.Google ScholarGoogle Scholar
  3. Brody, B.L., Field, L.C., Roch-Levecq, A.C., Depp, C., Edland, S.D., Minasyan, L. and Brown, S.I. 2012. Computer Use among Patients with Age-Related Macular Degeneration. Ophthalmic Epidemiology. 19, 4 (Aug. 2012), 190--195.Google ScholarGoogle ScholarCross RefCross Ref
  4. Casten, R.J., Maloney, E.K. and Rovner, B.W. 2005. Knowledge and Use of Low Vision Services Among Persons with Age-related Macular Degeneration. Journal of Visual Impairment and Blindness. 99, 11 (2005), 720--724.Google ScholarGoogle ScholarCross RefCross Ref
  5. Chiang, M.F., Cole, R.G., Gupta, S., Kaiser, G.E. and Starren, J.B. 2005. Computer and World Wide Web accessibility by visually disabled patients: problems and solutions. Survey of ophthalmology. 50, 4 (Jan. 2005), 394--405.Google ScholarGoogle Scholar
  6. Common Types of Low Vision: http://www.aoa.org/patients-and-public/caring-for-your-vision/low-vision/common-types-of-low-vision-sso=y. Accessed: 2015-09-21.Google ScholarGoogle Scholar
  7. Congdon, N., O'Colmain, B., Klaver, C.C.W., Klein, R., Muñoz, B., Friedman, D.S., Kempen, J., Taylor, H.R. and Mitchell, P. 2004. Causes and prevalence of visual impairment among adults in the United States. Archives of ophthalmology (Chicago, Ill.: 1960). 122, 4 (Apr. 2004), 477--85.Google ScholarGoogle Scholar
  8. Crossland, M.D., Macedo, A.F. and Rubin, G.S. 2010. Electronic books as low vision aids. British Journal of Ophthalmology. 94, 8 (Aug. 2010), 1109--1109.Google ScholarGoogle ScholarCross RefCross Ref
  9. Crossland, M.D., S. Silva, R., Macedo, A.F., Silva, R.S., Macedo, A.F., S. Silva, R. and Macedo, A.F. 2014. Smartphone, tablet computer and e-reader use by people with vision impairment. Ophthalmic and Physiological Optics. 34, 5 (Sep. 2014), 552--557.Google ScholarGoogle ScholarCross RefCross Ref
  10. Dougherty, B.E., Kehler, K.B., Jamara, R., Patterson, N., Valenti, D. and Vera-Diaz, F. a. 2011. Abandonment of Low-Vision Devices in an Outpatient Population. Optometry and Vision Science. 88, 11 (Nov. 2011), 1283--1287.Google ScholarGoogle ScholarCross RefCross Ref
  11. Gajos, K.Z., Wobbrock, J.O. and Weld, D.S. 2008. Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces. Proc. CHI '08, ACM, New York, New York, USA, 1257--1266. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Gill, K., Mao, A., Powell, A.M. and Sheidow, T. 2013. Digital reader vs print media: the role of digital technology in reading accuracy in age-related macular degeneration. Eye. 27, 5 (May 2013), 639--643.Google ScholarGoogle ScholarCross RefCross Ref
  13. Gill, K., Mao, A., Powell, A.M. and Sheidow, T. 2013. Digital reader vs print media: the role of digital technology in reading accuracy in age-related macular degeneration. Eye (London, England). 27, 5 (May 2013), 639--43.Google ScholarGoogle Scholar
  14. Home of the free NVDA screen reader: http://www.nvaccess.org/. Accessed: 2016-05-06.Google ScholarGoogle Scholar
  15. Horowitz, A., Reinhardt, J.P., Boerner, K. and Travis, L.A. 2003. The influence of health, social support quality and rehabilitation on depression among disabled elders. Aging Ment Health. 7, 5 (Sep. 2003), 342--350.Google ScholarGoogle ScholarCross RefCross Ref
  16. Humphry, R.C. and Thompson, G.M. 1986. Low vision aids-evaluation in a general eye department. Transactions of the ophthalmological societies of the United Kingdom. 105 ( Pt 3, (Jan. 1986), 296--303.Google ScholarGoogle Scholar
  17. Jacko, J. a and Sears, A. 1998. Designing interfaces for an overlooked user group: Considering the visual profiles of partially sighted users. Annual ACM Conference on Assistive Technologies, Proceedings. New York, NY, United States (1998), 75--77. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Jacko, J.A., Barreto, A.B., Marmet, G.J., Chu, J.Y.M., Bautsch, H.S., Scott, I.U. and Rosa R.H., J. 2000. Low vision: The role of visual acuity in the efficiency of cursor movement. Annual ACM Conference on Assistive Technologies, Proceedings. (2000), 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Janiszewski, R., Heath-watson, S.L., Adrienne, Y., Rosenthal, A.M. and Do, Q. 2006. The Low Visibility of Low Vision?: Increasing Awareness through Public Health Education. Journal of Visual Impairments and Blindness. 100, Special Supplement (2006), 849--862.Google ScholarGoogle Scholar
  20. Kane, S.K., Jayant, C., Wobbrock, J.O. and Ladner, R.E. 2009. Freedom to Roam: A Study of Mobile Device Adoption and Accessibility for People with Visual and Motor Disabilities. Proc. ASSETS '09, ACM, Pittsburgh, Pennsylvania, USA. (2009), 115--122. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Margrain, T.H. 2000. Helping blind and partially sighted people to read: the effectiveness of low vision aids. British Journal of Ophthalmology. 84, 8 (Aug. 2000), 919--921.Google ScholarGoogle ScholarCross RefCross Ref
  22. Massof, R.W. 2002. A model of the prevalence and incidence of low vision and blindness among adults in the U.S. Optometry and vision science?: official publication of the American Academy of Optometry. 79, 1 (Jan. 2002), 31--8.Google ScholarGoogle Scholar
  23. McIlwaine, G.G., Bell, J.A. and Dutton, G.N. 1991. Low vision aids-is our service cost effective Eye (London, England). 5 ( Pt 5), 5 (Jan. 1991), 607--11.Google ScholarGoogle Scholar
  24. Minto, H. and Butt, I.A. 2004. Low vision devices and training. Community eye health / International Centre for Eye Health. 17, 49 (Jan. 2004), 6--7.Google ScholarGoogle Scholar
  25. Owsley, C., McGwin, G., Lee, P.P., Wasserman, N. and Searcey, K. 2009. Characteristics of low-vision rehabilitation services in the United States. Archives of ophthalmology (Chicago, Ill.: 1960). 127, 5 (May 2009), 681--9.Google ScholarGoogle Scholar
  26. Saldaña, J. 2013. The Coding Manual for Qualitative Researchers. (2nd ed.). Los Angeles, CA: SageGoogle ScholarGoogle Scholar
  27. Scott, I.U., Feuer, W.J. and Jacko, J.A. 2002. Impact of graphical user interface screen features on computer task accuracy and speed in a cohort of patients with age-related macular degeneration. American Journal of Ophthalmology. 134, 6 (Dec. 2002), 857--862.Google ScholarGoogle ScholarCross RefCross Ref
  28. Scott, I.U., Feuer, W.J. and Jacko, J.A. 2002. Impact of visual function on computer task accuracy and reaction time in a cohort of patients with age-related macular degeneration. American Journal of Ophthalmology. 133, 3 (Mar. 2002), 350--357.Google ScholarGoogle ScholarCross RefCross Ref
  29. Shinohara, K. and Wobbrock, J.O. 2011. In the shadow of misperception. Proc. CHI '11, ACM, New York, New York, USA, 705--714. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Theofanos, M.F. and Redish, J.G. 2005. Helping Low-vision and Other Users with Web Sites That Meet Their Needs: Is One Site for All Feasible? Technical communication. 52, 1 (2005), 9--20.Google ScholarGoogle Scholar
  31. Virtanen, P. and Laatikainen, L. 1991. Primary success with low vision aids in age-related macular degeneration. Acta ophthalmologica. 69, 4 (May 1991), 484--90.Google ScholarGoogle Scholar
  32. Watson, G.R., De l'Aune, W., Stelmack, J., Maino, J. and Long, S. 1997. National survey of the impact of low vision device use among veterans. Optometry and vision science?: official publication of the American Academy of Optometry. 74, 5 (May 1997), 249--59.Google ScholarGoogle Scholar
  33. ZoomText Magnifier/Reader: http://www.zoomtext.com/products/zoomtext-magnifierreader/. Accessed: 2016-05-06.Google ScholarGoogle Scholar
  34. CDC - About Vision Health - Common Eye Disorders - Vision Health Initiative (VHI).Google ScholarGoogle Scholar
  35. Massof, R.W. and Lidoff, L. 2001. Issues in low vision rehabilitation: Service delivery, policy, and funding. American Foundation for the Blind. VancouverGoogle ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      ASSETS '16: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility
      October 2016
      362 pages
      ISBN:9781450341240
      DOI:10.1145/2982142

      Copyright © 2016 ACM

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      Publication History

      • Published: 23 October 2016

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      ASSETS '16 Paper Acceptance Rate24of95submissions,25%Overall Acceptance Rate436of1,556submissions,28%

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