skip to main content
article

Designing human-computer interfaces for quadriplegic people

Published:01 June 2003Publication History
Skip Abstract Section

Abstract

The need for participation in an emerging Information Society has led to several research efforts for designing accessibility solutions for disabled people. In this paper we present a method for developing Human-Computer Interfaces (HCIs) for quadriplegic people in modern programming environments. The presented method accommodates the design of scanning interfaces with modern programming tools, leading to flexible interfaces with improved appearance and it is based on the use of specially designed software objects called "wifsids" (Widgets For Single-switch Input Devices). The wifsid structure is demonstrated and 4 types of wifsids are analyzed. Developed software applications are to be operated by single-switch activations that are captured through the wifsids, with the employment of several modes of the scanning technique. We also demonstrate the "Autonomia" software application, that has been developed according to the specific methodology. The basic snapshots of this application are analyzed, in order to demonstrate how the wifsids cooperate with the scanning process in a user-friendly environment that enables a quadriplegic person to access an ordinary computer system.

References

  1. Brewster, S. 1994. Providing a structured method for integrating non-speech audio into human-computer interfaces. Ph.D. thesis, University of York, UK.Google ScholarGoogle Scholar
  2. Brewster, S. A., Raty, V.-P., and Kortekangas, A. 1996. Enhancing scanning input with non-speech sounds. In Second Annual ACM Conference on Assistive Technologies. The User Interface---I. 10--14. Google ScholarGoogle Scholar
  3. Buxton, W. 1983. Lexical and pragmatic considerations of input structure. Comput. Graph. 17, 1, 31--37. Google ScholarGoogle Scholar
  4. Card, S. K., Moran, T. P., and Newell, A. 1983. The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, Hillsdale, NJ. Google ScholarGoogle Scholar
  5. Chapanis, A. 1965. Man-Machine Engineering. Bemont, CA: Wadsworth Publishing Company.Google ScholarGoogle Scholar
  6. Doherty, E., Bloor, C., Rizzo, J., Berg, C., Engel, W., and Cockton, G. 1999. An interface for quadriplegic, traumatic brain injured, and non-verbal persons. In Proceedings of the 3rd International Cognitive Technology Conference (CT99). 237--250.Google ScholarGoogle Scholar
  7. Fischer, G. 2001. User modeling in human-computer interaction. User Modeling and User-Adapted Interaction 11, 65--86. Google ScholarGoogle Scholar
  8. Foulds, R. A. 1980. Communication rates for non-speech expression as a fuction of manual tasks and linguistic constraints. In Procedings of the International Conference on Rehabilitation Engineering. Toronto: RESNA, 83--87.Google ScholarGoogle Scholar
  9. Foulds, R. A., Baletsa, G., and Crochetiere, W. J. 1975. The effectiveness of language redundancy in non-verbal communication. In Proceedings of the Conference on Devices and Systems for the Disabled. Philadelphia: Krusen Center for Research and Engineering, 82--86.Google ScholarGoogle Scholar
  10. Foulds, R. A., Baletsa, G., and Crochetiere, W. J. 1976. The Tufts non-vocal communication program. In Procedings of the Conference on Medical Devices in Rehabilitation. Boston.Google ScholarGoogle Scholar
  11. Gibler, C. and Childress, D. 1982. Language anticipation with a computer-based scanning communication aid. In Proceedings of the IEEE Computer Society Workshop on Computing to Aid the Handicapped. Charlottesville, VA, 11--16.Google ScholarGoogle Scholar
  12. Glinert, E. P. and York, B. W. 1992. Computers and people with disabilities. Comm. ACM 35, 5 (May), 32--35. Google ScholarGoogle Scholar
  13. Harris, D. and Vanderheiden, G. C. 1980. Augmentative Communication Techniques, R.L. Schiefelbusch ed. Baltimore: University Park Press.Google ScholarGoogle Scholar
  14. Kuhn, M. and Garbe, J. 2001. Predictive and highly ambiguous typing for a severely speech and motion impaired user. In Proceedings of the Conference on Universal Access in Human-Computer Interaction---UAHCI 2001. Mahwah (NJ): Lawrence Erlbaum Associates.Google ScholarGoogle Scholar
  15. Kushler, C. 1998. AAC using a reduced keyboard. In Proceedings of CSUN'98.Google ScholarGoogle Scholar
  16. Lee, K. and Thomas, D. 1990. Control of Computer-Based Technology for People with Physical Disabilities: An Assessment Manual. Toronto: University Of Toronto Press.Google ScholarGoogle Scholar
  17. Lesher, G. W., Higginbotham, D. J., and Moulton, B. J. 2000. Techniques for automatically updating scanning delays. In Proceedings of the RESNA 2000 Annual Conference. Washington, DC: RESNA Press, 85--87.Google ScholarGoogle Scholar
  18. Lesher, G. W., Moulton, B. J., and Higginbotham, D. J. 1998. Techniques for augmenting scanning communication. Augmentative and Alternative Communication 14, 81--101.Google ScholarGoogle Scholar
  19. MacKenzie, I. S. 1995. Input devices and interaction techniques for advanced computing. Virtual Environments and Advanced Interface Design, 437--470, Oxford University Press, Inc. Google ScholarGoogle Scholar
  20. McCombie, P. F. and Penman, J. 2001. The production of interactive engineering design software using Borland Delphi. Advances in Engineering Software 32, 789--796. Google ScholarGoogle Scholar
  21. Miller, L. J., Demasco, P. W., and Elkins, R. A. 1990. Automatic data collection and analysis in an augmentative communication system. In Proceedings of the 13rd Annual Conference on Rehabilitation Technology (RESNA). Washington, DC: RESNA Press, 99--100.Google ScholarGoogle Scholar
  22. Myers, B. A. 1995. User interface software tools. ACM Trans. Comput.-Hum. Inter. 2, 1, 64--103. Google ScholarGoogle Scholar
  23. Myers, B. A. and Rosson, M. B. 1992. Survey on user interface programming. In Proceedings of the ACM CHI'92 Conference on Human Factors in Computing Systems. Tools and Techniques. 195--202. Google ScholarGoogle Scholar
  24. O'Neill, P., Roast, C., and Hawley, M. 2000. Evaluation of scanning user interfaces using real-time-data usage logs. In Fourth Annual ACM Conference on Assistive Technologies. ACM, 137--141. Google ScholarGoogle Scholar
  25. Pieper, M. and Kobsa, A. 1999. Talking to the ceiling: An interface for bed-ridden manually impaired users. In Proceedings of the Conference on Human Factors in Computing Systems (CHI99) (Extended Abstracts, Video Demonstrations). ACM, 9--10. Google ScholarGoogle Scholar
  26. Prechelt, L. and Typke, R. 2001. An interface for melody input. ACM Trans. Comput.-Hum. Inter. 8, 2, 133--149. Google ScholarGoogle Scholar
  27. Rombola, G. and Childress, D. 1977. Computer-based control and communication systems for severely disabled persons. In Proceedings of the National Electronics Conference. Chicago, IL., 362--366.Google ScholarGoogle Scholar
  28. Savidis, A., Vernardos, G., and Stephanidis, C. 1997. Embedding scanning techniques accessible to motor-impaired users in the WINDOWS object library. In Proceedings of the Seventh International Conference on Human-Computer Interaction. Ergonomics and Design for All, vol. 1. 429--432. Google ScholarGoogle Scholar
  29. Shein, F. 1988. A prototype expert system for the design of a visual keyboard. In Proceedings of the Third International Conference on Rehabilitation Engineering. Montreal, 382--383.Google ScholarGoogle Scholar
  30. Simpson, R. C. and Koester, H. H. 1999. Adaptive one-switch row-column scanning. IEEE Trans. Rehab. Eng. 7, 4 (Dec.), 464--473.Google ScholarGoogle Scholar
  31. Stephanidis, C. 2000. Universal access through unified user interfaces. In Proceedings of the Annual Conference on Technology and Persons with Disabilities (CSUN2000).Google ScholarGoogle Scholar
  32. Stephanidis, C. and Emiliani, P. L. 1998. Design for all in the TIDE ACCESS project. In Proceedings of the 3rd TIDE Congress. Vol. 4.Google ScholarGoogle Scholar
  33. Stephanidis, C., Paramythis, A., Karagiannidis, C., and Savidis, A. 1997. Supporting interface adaptation: The AVANTI web browser. In Proceedings of the 3rd ERCIM Workshop on 'User Interfaces for All'. Number 4 in Long Papers. ERCIM, 14.Google ScholarGoogle Scholar
  34. Stephanidis, C., Paramythis, A., Sfyrakis, M., Stergiou, A., Maou, N., Leventis, A., Paparoulis, G., and Karagiannidis, C. 1998. Adaptable and adaptive user interfaces for disabled users in the AVANTI project. In Proceedings of the 5th International Conference on Intelligence in Services and Networks (IS&N 98). 153--166. Google ScholarGoogle Scholar
  35. Steriadis, C. E. and Constantinou, P. 1998. Telematics' application for people with special needs. In Proceedings of the 2nd IMACS International Conference on Circuits, Systems and Computers. Vol. 1. IMACS, 257--262.Google ScholarGoogle Scholar
  36. Steriadis, C. E. and Constantinou, P. 2000. An integrated environment's control system for quadriplegic persons. In Proceedings of the 10th Mediterranean Electrotechnical Conference. Vol. 2. IEEE, 706--708.Google ScholarGoogle Scholar
  37. Stork, D. G. and Hennecke, M. E. 1996. Speechreading: An overview of image processing, feature extraction, sensory integration and pattern recognition techniques. In Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG`96). IEEE, xvi--xxvi. Google ScholarGoogle Scholar
  38. Swiffin, A. L., Arnott, J. L., and Newell, A. F. 1987. The use of syntax in a predicive communication aid for the physically handicapped. In Proceedings of the 10th Annual Conference on Rehabilitation Technology (RESNA). Washington, DC: RESNA Press, 124--126.Google ScholarGoogle Scholar
  39. Vanderheiden, G. C. and Lloyd, L. 1986. Communication Systems and their Components. Augmentative Communication: An Introduction, S. W. Blackstone and D. M. Bruskin ed. Rockville, MD: American Speech--Language--Hearing Association.Google ScholarGoogle Scholar

Index Terms

  1. Designing human-computer interfaces for quadriplegic people

                    Recommendations

                    Comments

                    Login options

                    Check if you have access through your login credentials or your institution to get full access on this article.

                    Sign in

                    Full Access

                    PDF Format

                    View or Download as a PDF file.

                    PDF

                    eReader

                    View online with eReader.

                    eReader