Accessibility And Speech Technology: Advancing Toward Universal Access

  • John C. Thomas
  • Sara Basson
  • Daryle Gardner-Bonneau
Part of the Signals and Communication Technology book series (SCT)


Speech technologies have been a blessing to many people with disabilities. They have allowed people with severe physical impairments to do meaningful work, blind people to access computer technology, and people with speech impairments to communicate, for example. This chapter champions the concept of universal access - employing technologies in designs that serve both those with disabilities and those without. It also discusses the ways in which speech technologies are currently being used in assistive devices, and problems associated with current technology. Additionally, the authors describe how methodologies and techniques from the disciplines of human-computer interaction (a.k.a. user interface design, usability engineering, and human factors engineering) can be used to better design applications to serve people with disabilities and the population at large. Finally, the role of technical standards in facilitating accessibility is discussed, and the status of current standards development efforts is described.


universal access assistive technology human-computer interaction user interface design Augmentative and Alternative Communication (AAC) 


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  1. Alexander, C. Ishikawa, S., & Silverstein, M. (1977). A pattern language. New York: Oxford University Press.Google Scholar
  2. American National Standards Institute (1996). User interface to telephone-based services: voice message applications (ANSI/ISO 13714). New York: Author.Google Scholar
  3. Americans with Disabilities Act (ADA) (1990). PL101-336, 42 USC-12111.Google Scholar
  4. Bain, K., & Leitch, D. (2000) The Liberated Learning Project: Improving access for persons with disabilities in higher education using speech recognition technology. Proceedings of the Applied Voice Input/Output Society Conference 2000(pp. 83-86). San Jose, CA: AVIOS.Google Scholar
  5. Bain, K., Basson, S., Faisman, A., & Kanevsky, D. (2005). Accessibility, transcription, and access everywhere. IBM Systems Journal, Special Issue on Accessibility, 44(3), 589-603.Google Scholar
  6. Basson, A., Faisman, A., Hoory, R., Kanevsky, D., Picheny, M., Roytman, A., Sivan, Z., and Sorin, A. (2005). Accessibility, speech recognition, and human interventions. Proceedings of the Applied Voice Input/Output Society Conference 2005. San Jose, CA: AVIOS. Scholar
  7. Bayle, E., et al. (1998). Putting it all together: Towards a pattern language for interaction design. SIGCHI Bulletin, 30 (1), 17-23.CrossRefGoogle Scholar
  8. Bickmore, T., Caruso, L., & Clough-Gorr, K. (2005). Acceptance and usability of a relational agent interface by urban Older Adults. Proceedings of CHI 2005 (Extended Abstracts) (pp. 1212-1215). New York: ACM.Google Scholar
  9. Borchers, J. (2001). A pattern approach to interaction design. New York: Wiley.Google Scholar
  10. Carmien, S., DePaula, R., Gorman, A., & Kintsch, A. (2003). Increasing workplace independence for people with cognitive disabilities by leveraging distributed cognition among caregivers and clients. Paper presented at Group’03, Nov. 9-12, 2003, Sanibel Island, FL.Google Scholar
  11. Carmien, S., et al. (2005). Socio-technical environments supporting people with cognitive disabilities using public transportation, Transactions on Human-Computer Interaction (ToCHI), 12(2), 233-262.CrossRefGoogle Scholar
  12. Carroll, J. M. (2000). Making user: Scenario-based design of human-computer interactions. Cambridge, MA: MIT Press.Google Scholar
  13. Cook, A. M., & Hussey, S. M. (1995). Assistive technologies: Principles and practice. St. Louis: Mosby.Google Scholar
  14. Covington, G. A. (1998). Cultural and environmental barriers to assistive technology: Why assistive devices don’t always assist. In D. B. Gray, L. A. Quatrano, and M. L. Lieberman (Eds.), Designing and using assistive technology: The human perspective (pp. 77-88). Baltimore: Paul H. Brookes.Google Scholar
  15. Dawe, M., et al. (2005, July). Smart care: The importance and challenges of creating life histories for people with cognitive disabilities. Proceedings of the HCI International Conference (HCII). (CD-ROM).Google Scholar
  16. English, P. (2005). The IVR Cheat Sheet. Available at Scholar
  17. Erickson, T., Halverson, C., Kellogg, W.A., Laff, M., Wolf, T. (2002). Social translucence: designing social infrastructures that make collective activity visible. Communications of the ACM, 45(4), 40-44.CrossRefGoogle Scholar
  18. Farrell, R. G., & Thomas, J. C. (2005). Dynamic assembly & customization of web-based courses (IBM Research Report No. RC23579). Yorktown Heights, NY: IBM.Google Scholar
  19. Galvin, J. C., & Caves, K. M. (1995). Computer assistive devices and environmental controls. In R. L. Braddom (Ed.), Physical medicine and rehabilitation (pp. 493-501). Philadelphia: W. B. Saunders.Google Scholar
  20. Gardner-Bonneau, D. J. (2007). Human factors and speech technology: Reflections on 20 years of user interface design for speech-enabled applications. In C. Burileanu and H.-N. Teodorescu (Eds.), Advances in spoken language technology(Proceedings of the 4th Conference on Speech Technology and Human-Computer Dialogue (Sped 2007), Iasi, Romania) (pp. 127-134). Bucharest: Publishing House of the Romanian Academy.Google Scholar
  21. Gardner-Bonneau, D. J. (2001). Meeting the needs of older adults in speech application design. Proceedings of the Applied Voice Input/Output Society Conference 2001 (pp. 103-111). San Jose, CA: AVIOS.Google Scholar
  22. Hanson, V. A., & Richards, J. T. (2004). A web accessibility service: Update and findings. Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility.Google Scholar
  23. Harris, L., et al. (1991). Public attitudes towards people with disabilities. Washington, DC: National Organization on Disability.Google Scholar
  24. Human Factors and Ergonomics Society (2006). Human factors engineering of software user interfaces. Part 2: Accessibility. Santa Monica, CA: Author. (Canvass draft available from the Human Factors and Ergonomics Society, P.O. Box 1369, Santa Monica, CA, 90406. See also Scholar
  25. Human Factors and Ergonomics Society (2006). Human factors engineering of software user interfaces. Part 4: Interactive Voice Response (IVR) and telephony. Santa Monica, CA: Author. (Canvass draft available from the Human Factors and Ergonomics Society, P. O. Box 1369, Santa Monica, CA, 90406. See also Scholar
  26. International Standards Organisation (2006). Ergonomic data and ergonomic guidelines for the application of ISO/IEC Guide 71 to products and services to address the needs of older persons and persons with disabilities (ISO PTR 22411). Geneva: Author.Google Scholar
  27. International Standards Organisation (2006). Ergonomics of human-system interaction. Part 20: Accessibility guidelines for Information/Communication Technology (ICT) equipment and services. (ISO DIS 9241-20). Geneva, Author.Google Scholar
  28. International Standards Organisation (2007). Ergonomics of human-system interaction – Part 151. Software ergonomics for World Wide Web user interfaces (ISO IS 9241-151). Geneva: Author.Google Scholar
  29. International Standards Organisation. (1994). User interface to telephone-based services: Voice messaging applications (ISO/IEC DIS 13714). Geneva: Author.Google Scholar
  30. International Standards Organisation. (date varies by part). Ergonomics of human-system interaction. (ISO 9241). Geneva: Author.Google Scholar
  31. Lau, T., Bergman, L., & Gaeremynck, Y. (2006). MORE: Model recovery from visual interfaces for multi-device application design. Proceedings of the International Conference on Intelligent User Interfaces, 318. New York: ACM Press.Google Scholar
  32. Mirenda, M., Eicher, D., & Beukelman, D. R. (1989). Synthetic and natural speech preferences of male and female listeners in four age groups. Journal of Speech and Hearing Research, 32, 175-183.Google Scholar
  33. Moffett, S. (2005, June 15). Fast-aging Japan keeps its elders on the job longer. Sebastian. The Wall Street Journal, p. A1.Google Scholar
  34. Mohl, B. (2005, December 2nd). Executive has an answer to phone system cheat sheet. Boston Globe.Google Scholar
  35. Mosner, E., Spiezle, C., & Emerman, J. (2003). Microsoft study: The convergence of the aging workforce and accessible technology.Google Scholar
  36. Murray, I. R., Arnott, J. L., Aim, N., & Newell, A. F. (1991). A communication system for the disabled with emotional synthetic speech produced by rule. Proceedings of Eurospeech ’91: 2nd European Conference on Speech Communication and Technology (pp. 311-314). Geneva, Italy: European Speech Communication Association.Google Scholar
  37. Mynatt, E. D., & Edwards, W. K. (1995). Metaphors for nonvisual computing. In A. D. N. Edwards (Ed.), Extra-ordinary human-computer interaction: Interfaces for users with disabilities (pp. 201-220). Cambridge, UK: Cambridge University Press.Google Scholar
  38. Newell, A. F. (1995). Extra-ordinary human-computer interaction. In A. D. N. Edwards (Ed.), Extra-ordinary human-computer interaction: Interfaces for users with disabilities (pp. 3-18). Cambridge, UK: Cambridge University Press.Google Scholar
  39. Nielsen, J. (1994). Usability engineering. Boston, MA: Academic Press.Google Scholar
  40. Nichols, T. A., Rogers, W. A., & Fisk, A. D. (2003). Do you know how old your participants are? Recognizing the importance of participant age classifications. Ergonomics in Design, 11(3), 22-26.Google Scholar
  41. Olson, G. M., Finholt, T. A., & Teasley, S. D. (2000). Behavioral aspects of collaboratories. In S. H. Koslow and M. F. Huerta (Eds.), Electronic collaboration in science (pp. 1-14). Mahwah, NJ: Erlbaum.Google Scholar
  42. Richards, J. T., & Hanson, V. A. (2004). Web accessibility: A broader view. Proceedings of the 13th International World Wide Web Conference (pp. 72-79).Google Scholar
  43. Scherer, M. J., & Galvin, J. C. (1997). Assistive technology. In S. Kumar (Ed.), Perspectives in rehabilitation ergonomics (pp. 273-301). London: Taylor & Francis.Google Scholar
  44. Small, J., Schallau, P., Brown, K., & Appleyard, R. (2005). Web accessibility for people with cognitive disabilities. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2005) (pp. 1793-1796). New York: ACM Press.CrossRefGoogle Scholar
  45. SOAR (2005 homepage URL). Scholar
  46. Tetschner, W. (2005). Personal communication.Google Scholar
  47. Thomas, J. C. (1999) Narrative technology and the new millennium. Knowledge Management Journal, 2(9), 14-17.Google Scholar
  48. Thomas, J. C. (2001). An HCI agenda for the next millennium: Emergent global intelligence. In R. Earnshaw, R. Guedj, A. van Dam, & J. Vince (Eds.), Frontiers of human-centered computing, online communities, and virtual environments (pp. 198-219). London: Springer-Verlag.Google Scholar
  49. Thomas, J. C. (1995). Human factors in lifecycle development. In A. Sydral, R. Bennett, and S. Greenspan (Eds.), Applied speech technology (pp. 289-314). Boca Raton: CRC.Google Scholar
  50. Thomas, J. C., Basson, S., & Gardner-Bonneau, D. J. (1999). Universal access and assistive technology. In D. J. Gardner-Bonneau (Ed.), Human factors and voice interactive systems (pp. 134-146). Boston: Kluwer Academic Publishers.Google Scholar
  51. Thomas, J., & Farrell, R. (2004). An experimental investigation of the effectiveness of individualized web-based learning based on the dynamic assembly of learning objects. IBM Research Report. Yorktown Heights, New York: IBM.Google Scholar
  52. Thomas, J. C., & Kellogg, W. A. (1989, January). Minimizing ecological gaps in interface design. IEEE Software, 78-86.Google Scholar
  53. Thomas, J. C., Kellogg, W.A., & Erickson, T. (2001). The knowledge management puzzle: Human and social factors in knowledge management. IBM Systems Journal, 40(4), 863-884. Available on-line at Scholar
  54. Tidwell, J. (1999). Common ground: A pattern language for human computer interface design.∼ jtidwell/common_ground.html.Google Scholar
  55. Van Welie, M. (2005). Scholar
  56. Vanderheiden, G. (1997). Universal design vs. assistive technology. Proceedings of RESNA ’97. Arlington, VA: RESNA Press.Google Scholar
  57. Waters, C. (1997). Universal web design. Indianapolis: New Riders.Google Scholar

Copyright information

© Springer Science + Business Media, LLC 2008

Authors and Affiliations

  • John C. Thomas
    • 1
  • Sara Basson
    • 1
  • Daryle Gardner-Bonneau
    • 2
  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA
  2. 2.Bonneau and AssociatesPortage MI and Western Michigan UniversityKalamazooUSA

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