374
Views
3
CrossRef citations to date
0
Altmetric
Review

Effect of diagnosis, body site and experience on text entry rate of individuals with physical disabilities: a systematic review

&
Pages 312-322 | Received 02 May 2017, Accepted 16 Aug 2017, Published online: 28 Aug 2017

References

  • Cook A, Polgar JM. Assistive technologies: principles and practice. 4th ed. St. Louis: Elsevier; 2015.
  • Koester HH, Arthanat S. Text entry rate of access interfaces used by people with physical disabilities: a systematic review. Assist Technol. 2017; Epub 2017 Apr 3. https://doi.org/http://www.tandfonline.com/doi/abs/10.1080/10400435.2017.1291544.
  • Goodman N, Jette A, Houlihan B, et al. Computer and Internet use by persons after traumatic spinal cord injury. Arch Phys Med Rehabil. 2008;89:1492–1498.
  • Folan A, Barclay L, Cooper C, et al. Exploring the experience of clients with tetraplegia utilizing assistive technology for computer access. Disabil Rehabil Assist Technol. 2007;10:46–52.
  • Davies T, Chau T, Fehlings D, et al. Youth with cerebral palsy with differing upper limb abilities: how do they access computers? Arch Phys Med Rehabil. 2010;91:1952–1956.
  • LoPresti E, Brienza D, Angelo J, et al. Neck range of motion and use of computer head controls. J Rehabil Res Dev. 2003;40:199–211.
  • Jenko M, Matjacic Z, Vidmar G, et al. A method for selection of appropriate assistive technology for computer access. Int J Rehabil Res. 2010;33:298–305.
  • Koester HH. Gathering and applying evidence in computer access services. Proceedings of AAATE Conference 2009. Florence, Italy: RESNA Press; 2009. p. 234–241.
  • Hill K. A case study model for augmentative and alternative communication outcomes. Assist Technol Outcomes Benefits 2006;3:53–66.
  • Hoppestad BS. Essential elements for assessment of persons with severe neurological impairments for computer access utilizing assistive technology devices: a Delphi study. Disabil Rehabil Assist Technol. 2006;1:3–16.
  • Hoppestad BS. Current perspective regarding adults with intellectual and developmental disabilities accessing computer technology. Disabil Rehabil Assist Technol. 2013;8:190–194.
  • Pouplin S, Roche N, Vaugier I, et al. Influence of the number of predicted words on text input speed in participants with cervical spinal cord injury. Arch Phys Med Rehabil. 2016;97:259–265.
  • Pouplin S, Roche N, Vaugier I, et al. Text input speed in persons with cervical spinal cord injury. Spinal Cord. 2016; 54:158–162.
  • Koester HH, Mankowski J. Automatic adjustment of keyboard settings can enhance typing. Assist Technol. 2015;27:136–146.
  • Roark B, Fried-Oken M, Gibbons C. Huffman and linear scanning methods with statistical language models. Augment Altern Commun. 2015;31:37–50.
  • Pouplin S, Robertson J, Antoine J-Y, et al. Effect of dynamic keyboard and word-prediction systems on text input speed in persons with functional tetraplegia. J Rehabil Res Dev. 2014;51:467–479.
  • Koester HH, Simpson RC. Method for enhancing text entry rate with single-switch scanning. J Rehabil Res Dev. 2014;51:995–1012.
  • Lancioni GE, Singh NN, O’Reilly MF, et al. A man with amyotrophic lateral sclerosis uses a mouth pressure microswitch to operate a text messaging system with a word prediction function. Dev Neurorehabil. 2013;:315–320.
  • Mankowski R, Simpson RC, Koester HH. Validating a model of row-column scanning. Disabil Rehabil Assist Technol. 2013;18:321–329.
  • Pires G, Nunes U, Castelo-Branco M. Comparison of a row-column speller vs. a novel lateral single-character speller: assessment of BCI for severe motor disabled patients. Clin Neurophysiol. 2012;123:1168–1181.
  • Nguyen T, Le D-A, Dang T-V, et al. The UITK: towards the designing a ubiquitous soft keyboard for disabled people. In: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services (IIWAS ’12) [Internet]. New York, NY: ACM; 2012 [cited 2015 Dec 8]. p. 399–402. Available from: http://doi.acm.org/10.1145/2428736.2428809.
  • Lancioni GE, Singh NN, O’Reilly MF, et al. Microswitch and keyboard-emulator technology to facilitate the writing performance of persons with extensive motor disabilities. Res Dev Disabil. 2011;32:576–582.
  • Chiapparino C, Stasolla F, Pace C, de, et al. A touch pad and a scanning keyboard emulator to facilitate writing by a woman with extensive motor disability. Life Span Disabil. 2011;14:45–54.
  • Lancioni G, O’Reilly M, Singh N, et al. Use of microswitch technology and a keyboard emulator to support literacy performance of persons with extensive neuro-motor disabilities. Dev Neurorehabil. 2010;13:248–257.
  • Chan J, Falk TH, Teachman G, et al. Evaluation of a non-invasive vocal cord vibration switch as an alternative access pathway for an individual with hypotonic cerebral palsy – a case study. Disabil Rehabil Assist Technol. 2010;5:69–78.
  • Blain S, McKeever P, Chau T. Bedside computer access for an individual with severe and multiple disabilities: a case study. Disabil Rehabil Assist Technol. 2010;5:359–369.
  • Smith JM, Simpson RC. Analyzing performance with computer access technology using unconstrained text entry protocol. J Rehabil Res Dev. 2009;46:1059–1068.
  • Lancioni GE, Singh NN, O’Reilly MF, et al. A voice-detecting sensor and a scanning keyboard emulator to support word writing by two boys with extensive motor disabilities. Res Dev Disabil. 2009;30:203–209.
  • Tam C, Wells D. Evaluating the benefits of displaying word prediction lists on a personal digital assistant at the keyboard level. Assist Technol. 2009;21:105–114.
  • Mezei P. Effects of word prediction on writing fluency for students with physical disabilities. Doctoral dissertation. Georgia State University, Atlanta GA. 2009. Available from: http://files.eric.ed.gov/fulltext/EJ986388.pdf.
  • Wobbrock JO, Myers BA. Enabling devices, empowering people: the design and evaluation of Trackball EdgeWrite. Disabil Rehabil Assist Technol. 2008;13:35–56.
  • Garrett JT. Using speech recognition software to increase writing fluency for individuals with physical disabilities. Ann Arbor (MI): ProQuest Information & Learning; 2008.
  • Koester HH, Lopresti E, Simpson RC. Toward automatic adjustment of keyboard settings for people with physical impairments. Disabil Rehabil Assist Technol. 2007;12:261–274.
  • Simpson R, Koester H, LoPresti E. Selecting an appropriate scan rate: the “65 rule”. Assist Technol. 2007;19:51–60.
  • Alcantud F, Dolz I, Gaya C, et al. The voice recognition system as a way of accessing the computer for people with physical standards as usual. Technol Disabil. 2006;18:89–97.
  • Wobbrock JO, Myers BA. From letters to words: efficient stroke-based word completion for trackball text entry. Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets ’06) [Internet]; 2006 Oct 23–25; Portland, OR. New York, NY: ACM; 2006 p. 2–9. Available from: http://doi.acm.org/10.1145/1168987.1168990.
  • Mezei P. Evaluating word prediction software for students with physical disabilities. Phys Disabil Educ Related Serv. 2005;23:93–113.
  • Koester HH. Usage, performance, and satisfaction outcomes for experienced users of automatic speech recognition. J Rehabil Res Dev. 2004;41:739–754.
  • Wobbrock JO, Myers BA, Aung HH, et al. Text Entry from Power Wheelchairs: Edgewrite for Joysticks and Touchpads. Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets ’04) [Internet]; 2004 Oct 18–20; Atlanta, Georgia. New York, NY: ACM; 2004. p. 110–117. Available from: http://doi.acm.org/10.1145/1028630.1028650.
  • Tumlin J, Heller KW. Using word prediction software to increase typing fluency with students with physical disabilities. J Spec Educ Technol. 2004;19:5–14.
  • Tam C, Reid D, Naumann S, et al. Effects of word prediction and location of word prediction list on text entry with children with spina bifida and hydrocephalus. Augment Altern Commun. 2002;18:147–162.
  • Sears A, Karat C-M, Oseitutu K, et al. Productivity, satisfaction, and interaction strategies of individuals with spinal cord injuries and traditional users interacting with speech recognition software. Univ Access Information Soc. 2001;1:4–15.
  • Hsieh M, Luo C. Morse code typing training of an adolescent with cerebral palsy using microcomputer technology: case study.Augment Altern Commun. 1999;15:216–221.
  • DeVries RC, Deitz J, Anson D. A comparison of two computer access systems for functional text entry. Am J Occup Ther. 1998;52:656–665.
  • Manaris B, Harkreader A. SUITEKeys: a speech understanding interface for the motor-control challenged. Proceedings of the Third International ACM Conference on Assistive Technologies (Assets ’98); 1998 Apr 15–17; Marina del Rey, California, USA; New York, NY, USA: ACM; 1998. p. 108–115. Available from: http://doi.acm.org/10.1145/274497.274517.
  • Koester HH, Levine SP. Effect of a word prediction feature on user performance. Augment Altern Commun. 1996;12:155–168.
  • Lau C, O’Leary S. Comparison of computer interface devices for persons with severe physical disabilities. Am J Occup Ther. 1993;47:1022–1030.
  • Koester HH. Quantitative modeling in augmentative communication – a case study. In: RESNA 1990 Annual Conference [Internet]. 1990. Available from: http://kpronline.com/files/Horstmann-Koester-RESNA1990-modeling-of-an-AAC-system-case-study.pdf.
  • Smith RO, Christiaansen R, Borden B, et al. Effectiveness of a writing system using a computerized long-range optical pointer and 10-branch abbreviation expansion. J Rehabil Res Dev. 1989;26:51–62.
  • Levine S, Gauger J, Bowers L, et al. A comparison of Mouthstick and Morse code text inputs. Augment Altern Commun. 1986;2:51–55.
  • Koester H, Arthanat S. Public TER data: for individual subjects and groups. Public dataset. Available from: https://docs.google.com/spreadsheets/d/1U4gb_6Lckt-P2uUeQrkuRFlWJ5f39wbNXqZG-WmyMXo/edit#gid=1362503153.
  • MacKenzie IS, Soukoreff RW. Text entry for mobile computing: models and methods, theory and practice. Hum Comp Interact. 2002;17:147–198.
  • Chang A. Utility to combine statistics from multiple groups into one group. StatsToDo; 2016. Available from: http://www.statstodo.com/ComMeans_Pgm.php.
  • Koester HH, Arthanat S. AT-Node for Access website. http://www.kpronline.com/atnode.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.