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Diagnosis Interface
Cerebral palsy Cursor on-screen keyboard
  • Summary

    Basic Stats for These Cases
    Cases Mean SD Range
    5 2.02wpm 1.50 0.50 to 3.60

    The histogram below shows the distribution of text entry rate across these 5 cases. Click on a datapoint to view the abstract for its study.

  • Explore

    This section displays a variety of views of the retrieved data, including how text entry rate varies with interface, diagnosis, or body site, where applicable. Note: These graphs combine data from the individual cases and groups, so they reflect all of the retrieved data.

    Text Entry Rate by Interface. Shows average for each interface in the retrieved dataset.

    Everyone in this dataset used cursor OSK, so we won't show a graph. The average text entry rate is 2.02 wpm, across all cases and groups.

    Text Entry Rate by Diagnosis. Shows average for each diagnosis in the retrieved dataset.

    Every case in this dataset has a diagnosis of cerebral palsy, so we won't show a graph. The average text entry rate is 2.02 wpm, across all cases and groups.

    Text Entry Rate by Body Site. Shows average for each body site in the retrieved dataset.

  • Individual Data. Each row is a case for a single subject in the dataset.

    Study Subject Age Gender Body site Word prediction? TER (wpm)
    Wobbrock 2004 19 22 F hand_non_typing N 0.50
    Smith 2009 79 - - hand_non_typing N 3.48
    Smith 2009 79 - - hand_non_typing Y 3.60
    Lancioni 2011 109 13 F hand_non_typing N 0.60
    Pires 2012 117 46 M head N 1.92

  • The list below shows all studies in the dataset that match your search criteria.

    • Text Entry from Power Wheelchairs: Edgewrite for Joysticks and Touchpads Wobbrock J, Myers B, Aung H, LoPresti E. (2004) Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility, 110-117. Show abstract
    • Analyzing performance with computer access technology using unconstrained text entry protocol Mankowski J, Simpson R. (2009) Journal of Rehabilitation Research & Development, 46(8), 1059-1068. Show abstract
    • Microswitch and keyboard-emulator technology to facilitate the writing performance of persons with extensive motor disabilities Lancioni G, Singh N, O'Reilly M, Sigafoos J, Green V, Oliva D, Lang R. (2011) Research in Developmental Disabilities, 32(2), 576-582. Show abstract
    • Comparison of a row-column speller vs. a novel lateral single-character speller: Assessment of BCI for severe motor disabled patients Pires G, Nunes U, Castelo-Branco M. (2012) Clinical Neurophysiology, 123(6), 1168-1181. Show abstract

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