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IBM Systems Journal
Accessibility   Volume 44, Number 3, 2005
Table of contents: HTMLPDF This article: HTMLPDF   Copyright info

Evaluating accessibility by simulating the experiences of users with vision or motor impairments - References

 by J. Mankoff,
H. Fait,
and R. Juang
Cited references

  1. Facts and Features: CB02-FF.11, U.S. Census Bureau (July 12, 2002), http://www.census.gov/Press-Release/www/2002/cb02ff11.html.
  2. H. S. Kaye, Computer and Internet Use Among People with Disabilities, Disability Statistics Center, Institute for Health and Aging, University of California, San Francisco (March 2000), http://dsc.ucsf.edu/view_pdf.php?pdf_id=23.
  3. Americans with Disabilities: Household Economic Studies, U.S. Census Bureau (February 1997), http://www.census.gov/prod/2001pubs/p70-73.pdf.
  4. K. P. Coyne and J. Nielsen, How to Conduct Usability Evaluations for Accessibility: Methodology Guidelines For Testing Websites and Intranets with Users Who Use Assistive Technology, Nielsen Norman Group (October 2001), http://www.nngroup.com/reports/accessibility/testing/.
  5. J. Mankoff, H. Fait, and T. Tran, “Is Your Web Page Accessible? A Comparative Study of Methods for Assessing Web Page Accessibility for the Blind,” Proceedings of the 2005 Conference on Human Factors in Computing Systems (CHI 2005), Portland, OR, April 2–7, 2005, ACM, New York (2005), pp. 41–50.
  6. K. Vredenburg, J.-Y. Mao, P. W. Smith, and T. Carey, “A Survey of User-Centered Design Practice,” Proceedings of the 2002 Conference on Human Factors in Computing Systems (CHI 2002), Minneapolis, MN, April 20–25, 2002, ACM, New York (2002), pp. 471–478.
  7. H. H. Koester and S. P. Levine, “Model Simulations of User Performance with Word Prediction,” Augmentative and Alternative Communication 14, No. 1, 25–35 (March 1998).
  8. B. J. Moulton, G. W. Lesher, and D. J. Higginbotham, “Techniques for Augmenting Scanning Communication,” Augmentative and Alternative Communication 14, 81–101 (1998).
  9. J. L. Bedrosian, “Limitations in the Use of Non-Disabled Subjects in AAC Research,” Augmentative and Alternative Communication 11, 6–10 (March 1995).
  10. D. J. Higginbotham, “The Use of Non-Disabled subjects in AAC Research: Confessions of a Research Infidel,” Augmentative and Alternative Communication 11, 2–5 (March 1995).
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  12. J. A. Jacko, M. A. Dixon, R. Rosa, I. U. Scott, and C. J. Pappas, “Visual Profiles: A Critical Component of Universal Access,” Proceedings of the 1999 Conference on Human Factors in Computing Systems (CHI 1999), Pittsburgh, PA, May 15–20, 1999, ACM, New York (1999), pp. 330–337.
  13. Visual Disabilities: Low Vision, WebAIM, Center for Persons with Disabilities, Utah State University, http://www.webaim.org/techniques/visual/lowvision.
  14. A. Worden, N. Walker, K. Bharat, and S. Hudson, “Making Computers Easier for Older Adults to Use: Area Cursors and Sticky Icons,” Proceedings of the 1997 Conference on Human Factors in Computing Systems (CHI 1997), Atlanta, GA, March 22–27, 1997, ACM, New York (1997), pp. 266–271.
  15. M. Y. Ivory, J. Mankoff, and A. Le, “Using Automated Tools to Improve Web Site Usage by Users with Diverse Abilities,” Information Technology and Society 3, No. 1, 195–236 (2003).
  16. S. Trewin, “A Study of Input Device Manipulation Difficulties,” Proceedings of the Second International ACM SIGCAPH Conference on Assistive Technologies (ASSETS 1996), Vancouver, BC, Canada, April 11–12, 1996, ACM, New York (1996), pp. 15–22.
  17. S. Keates, F. Hwang, P. Langdon, P. J. Clarkson, and P. Robinson, “Cursor Measures for Motion-Impaired Computer Users,” Proceedings of the Fifth International ACM SIGCAPH Conference on Assistive Technologies (ASSETS 2002), Edinburgh, Scotland, UK, July 8–10, 2002, ACM, New York (2002), pp. 135–142.
  18. F. Hwang, “A Study of Cursor Trajectories of Motion-Impaired users,” Extended Abstracts of the 2002 Conference on Human Factors in Computing Systems (CHI 2002), Minneapolis, MN, April 20–25, 2002, ACM, New York (2005), pp. 842–843.
  19. N. Walker, D. A. Philbin, and A. D. Fisk, “Age-Related Differences in Movement Control: Adjusting Submovement Structure to Optimize Performance,” The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences 52, No. 1, 40–52 (January 1997).
  20. P. Dvorak, “Looking for a User-Friendly Internet,” The Wall Street Journal, September 16, 2004.
  21. WebAIM Simulations, WebAIM, Center for Persons with Disabilities, Utah State University, http://www.webaim.org/simulations/.
  22. Bobby™: Testing Web Content Accessibility, Watchfire Corporation, http://www.watchfire.com/products/desktop/bobby/.
  23. LIFT, UsableNet Inc., http://www.usablenet.com/.
  24. W3C® Markup Validation Service, World Wide Web Consortium (W3C), http://validator.w3.org/.
  25. M. Rowan, P. Gregor, D. Sloan, and P. Booth, “Evaluating Web Resources for Disability Access,” Proceedings of the Fourth International ACM SIGCAPH Conference on Assistive Technologies (ASSETS 2000), Arlington, VA, November 13–15, 2000, ACM, New York (2000), pp. 80–84.
  26. D. Sloan, P. Gregor, M. Rowan, and P. Booth, “Accessible Accessibility,” Proceedings of the ACM Conference on Universal Usability (CUU 2000), Washington, DC, November 16–17, 2000, ACM, New York (2000), pp. 96–101.
  27. J. Fraser and C. Gutwin, “A Framework of Assistive Pointers for Low Vision Users,” Proceedings of the Fourth International ACM SIGCAPH Conference on Assistive Technologies (ASSETS 2000), Arlington, VA, November 13–15, 2000, ACM, New York (2000), pp. 9–16.
  28. Aurora Systems, Inc., http://www.aurora-systems.com/pages/index.html.
  29. J. A. Jacko, A. B. Barreto, G. J. Marmet, J. Y. M. Chu, H. S. Bautsch, I. U. Scott, and R. H. Rosa, Jr., “Low Vision: The Role of Visual Acuity in the Efficiency of Cursor Movement,” Proceedings of the Fourth International ACM SIGCAPH Conference on Assistive Technologies (ASSETS 2000), Arlington, VA, November 13–15, 2000, ACM, New York (2000), pp. 1–8.
  30. Advances in Motor Learning and Control, H. N. Zelaznik, Editor, Human Kinetics Publishers, Inc., Champaign, IL (1996).
  31. TightVNC Software, The TightVNC Project, http://www.tightvnc.com/.
  32. H. H. Koester and R. C. Simpson, “Effect of System Configuration on User Performance with Word Prediction: Results for Users with Disabilities,” Proceedings of the RESNA 2000 Annual Conference, June 28–July 2, 2000, Orlando, FL, RESNA Press, Arlington, VA (2000), http://www.resna.org/ProfResources/Publications/Proceedings/2000/AugCom/WPDisabil.php.
  33. H. H. Koester and S. P. Levine, “Learning and Performance of Able-Bodied Individuals Using Scanning Systems with and without Word Prediction,” Assistive Technology 6, No. 1, 42–53 (1994).
  34. H. H. Koester and S. Levine, “Effect of a Word Prediction Feature on User Performance,” Augmentative and Alternative Communication 12, No. 3, 155–168 (1996).


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