Keywords
ICT
HCI
people with disabilities
universal design
How to Cite
Abstract
The article presents an overview of modern technologies with their possible application by individuals with limited motor ability of all limbs replacing traditional solutions, i.e. a mouse and a computer keyboard. Due to applied technologies, the solutions being discussed have been classified into four groups: based on face tracking, based on eye tracking, based on an object location recognition and others. Analysing representatives of each group a comparison of the technologies according to nine criteria which are significant from a user’s point of view has been made. The weight of particular criteria has been assigned on the basis of a survey research. It has been determined that despite comparable cumulative evaluations of the systems, a selection of a system ought to be each time based on a user’s individual needs.
References
Anson, D.K. (1994). Finding your way in the maze of computer access technology. American Journal of Occupational Therapy, 48, 121–129.
View in Google Scholar
Berners-Lee, T. (1997). World Wide Web Consortium (W3C) Launches International Web Accessibility Initiative. Web Accessibility Initiative (WAI) [online, dostęp: 2017-08-09]. Dostępny w Internecie: https:// www.w3.org/Press/WAI-Launch.html.
View in Google Scholar
Bradley, N., Poppen, W. (2003). Assistive technology, computers and Internet may decrease sense of isolation for homebound elderly and disabled persons. Technology and Disability, 15(1), 19–25.
View in Google Scholar
Clark, J. (2002). Building Accessible Websites [online, dostęp: 2017-08-09]. Indianapolis–London: New Riders. ISBN 073571150X. Dostępny w Internecie: https://joeclark.org/book/.
View in Google Scholar
Cook, J.A., Fitzgibbon, G., Batteiger, D., Grey, D.D., Caras, S., Dansky, H., Priester, F. (2005). Information technology attitudes and behaviors among individuals with psychiatric disabilities who use the Internet: Results of a Web-based survey [online, dostęp: 2017-07-12]. Disability Studies Quarterly, 25(2). Dostępny w Internecie: http://dsq-sds.org/article/view/549/726.
View in Google Scholar
Davies, T.C., Mudge, S., Ameratunga, S., Stott, N.S. (2010). Enabling self-directed computer use for individuals with cerebral palsy: a systematic review of assistive devices and technologies. Developmental Medicine and Child Neurology, 52(6), 510–516.
View in Google Scholar
Dobransky, K., Hargittai, E. (2006). The disability divide in internet access and use. Information, Communication and Society, 9(3), 313–334.
View in Google Scholar
Drainoni, M.L., Houlihan, B., Williams, S., Vedrani, M., Esch, D., Lee-Hood, E., Weiner, C. (2004). Patterns of Internet use by persons with spinal cord injuries and relationship to health-related quality of life. Archives of Physical and Medical Rehabilitation, 85(11), 1872–1879.
View in Google Scholar
Dumont, C., Vincent, C., Mazer, B. (2002). Development of a standardized instrument to assess computer task performance. American Journal of Occupational Therapy, 56(1), 60–68.
View in Google Scholar
File, T., Ryan, C. (2014). Computer and Internet use in the United States: 2013 [online, dostęp: 2017-07-12]. American Community Survey Reports, ACS-28, Nov., 1–16. Dostępny w Internecie: https://www.census. gov/history/pdf/2013computeruse.pdf.
View in Google Scholar
Gips, J., Betke, M., Fleming, P. (2000). The Camera Mouse: Preliminary investigation of automated visual tracking for computer access. W: The Proceedings of Rehabilitation Engineering and Assistive Technology Society of North America RESNA 2000 (s. 98–100). Arlington, VA: RESNA Press. ISBN 0932101429.
View in Google Scholar
Hwang, F., Keates, S., Langdon, P., Clarkson, J. (2004). Mouse movements of motion-impaired users: A submovement analysis. W: Assets ’04 Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (s. 102–109). New York: Association for Computing Machinery. ISBN 158113911X.
View in Google Scholar
Keates, S., Hwang, F., Langdon, P., Clarkson, J., Robinson, P. (2002). Cursor measures for motion-impaired computer users. W: J.A. Jacko (ed.). Assets 2002: The Fifth International ACM Conference on Assistive Technologies: July 8–10, 2002 (s. 135–142). New York: Association for Computing Machinery. ISBN 9781581134643.
View in Google Scholar
Kim, U.J., Park, H., Bruce, J., Sutton, E., Rowles, D., Pucci, D., Holbrook, J., Minocha, J., Nardone, B., West, D., Laumann, A., Roth, E., Jones, M., Veledar, E., Ghovanloo, M. (2013). The tongue enables computer and wheelchair control for people with spinal cord injury. Science Translational Medicine, 5(213), 213ra166.
View in Google Scholar
Ladner, R.E., Burgstahler, S. (2015). Increasing the participation of individuals with disabilities in computing. Communications of the ACM, 58(12), 33–36.
View in Google Scholar
Lazar, J., Allen, A., Kleinman, J., Malarkey, Ch. (2007). What frustrates screen reader users on the Web: A study of 100 blind users. International Journal of Human-Computer Interaction, 22(3), 247–269.
View in Google Scholar
Lenhart, A., Horrigan, J.B., Rainie, L., Allen, K., Boyce, A., Madden, M., O’Grady, E. (2003). The Ever- -Shifting Internet Population: A new look at Internet access and the digital divide [online, dostęp: 2017-07-12]. Report. Washington, DC: The Pew Internet and American Life Project. Dostępny w Internecie: http://www.pewinternet.org/2003/04/16/the-ever-shifting-internet-population-a-new-look-at-internet-ac¬cess-and-the-digital-divide/.
View in Google Scholar
LoPresti, E.F., Koester, H.H., McMillan, W., Moore, P., Ashlock, G., Simpson, R.C. (2002). Compass: Software for computer skills assessment. W: J.A. Jacko (ed.). Assets 2002: The Fifth International ACM Conference on Assistive Technologies: July 8–10, 2002, Crowne Plaza Hotel, Edinburgh, Scotland. New York: Association for Computing Machinery. ISBN 9781581134643.
View in Google Scholar
MacKenzie, I.S., Kauppinen, T., Silfverberg, M. (2001). Accuracy measures for evaluating computer pointing devices. W: CHI ’01 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (s. 9–16). New York: Association for Computing Machinery. ISBN 1581133278.
View in Google Scholar
Man, D.W., Wong, M.S. (2007). Evaluation of computer-access solutions for students with quadriplegic athetoid cerebral palsy. The American Journal of Occupational Therapy, 61(3), 355–364.
View in Google Scholar
Manresa-Yee, C., Ponsa, P., Salinas, I., Perales, F.J., Negre, F., Varona, J. (2014). Observing the use of an input device for rehabilitation purposes. Behaviour and Information Technology, 33(3), 270–281.
View in Google Scholar
Sears, A., Young, M. (2002). Physical disabilities and computing technologies: an analysis of impairments. W: J.A. Jacko, A. Sears (eds.). The Human-Computer Interaction Handbook (s. 482–503). Mahwah, NJ: Lawrence Erlbaum Associates. ISBN 0805844686.
View in Google Scholar
Simpson, R., Koester, H.H., LoPresti, E. (2010). Research in computer access assessment and intervention. Physical Medicine and Rehabilitation Clinics of North America, 21(1), 15–32. DOI: 10.1016/j. pmr.2009.07.006.
View in Google Scholar
Simpson, R.C. (2013). Computer Access for People with Disabilities: A Human Factors Approach. Boca Raton, FL: CRC. ISBN 1466553723.
View in Google Scholar
World Health Organization. (2015). WHO Global disability action plan 2014–2021: Better health for all people with disability [online, dostęp: 2017-07-12]. Geneva: World Health Organization. ISBN 9789241509619. Dostępny w Internecie: http://www.who.int/disabilities/actionplan/en/.
View in Google Scholar
Strony internetowe producentów urządzeń
View in Google Scholar
BJOY Chin: http://bjliveat.com/bjoy-mice/211-BJOY-chin.html.
View in Google Scholar
Camera Mouse: http://www.cameramouse.org.
View in Google Scholar
Face Controller: http://www.face-controller.com.
View in Google Scholar
MyGazeAssistive 2: http://www.mygaze.com/products/mygaze-assistive.
View in Google Scholar
SmartNav: https://www.naturalpoint.com/smartnav/.
View in Google Scholar
TM5 mini: http://www.eyetechds.com/tm5-mini-assistive-tech.html.
View in Google Scholar
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