Abstract
Objectives
To determine whether the number of words displayed in the word prediction software
(WPS) list affects text input speed (TIS) in people with cervical spinal cord injury
(SCI), and whether any influence is dependent on the level of the lesion.
Design
A cross-sectional trial.
Setting
A rehabilitation center.
Participants
Persons with cervical SCI (N=45). Lesion level was high (C4 and C5, American Spinal
Injury Association [ASIA] grade A or B) for 15 participants (high-lesion group) and
low (between C6 and C8, ASIA grade A or B) for 30 participants (low-lesion group).
Intervention
TIS was evaluated during four 10-minute copying tasks: (1) without WPS (Without);
(2) with a display of 3 predicted words (3Words); (3) with a display of 6 predicted
words (6Words); and (4) with a display of 8 predicted words (8Words).
Main Outcome Measures
During the 4 copying tasks, TIS was measured objectively (characters per minute, number
of errors) and subjectively through subject report (fatigue, perception of speed,
cognitive load, satisfaction).
Results
For participants with low-cervical SCI, TIS without WPS was faster than with WPS,
regardless of the number of words displayed (P<.001). For participants with high-cervical SCI, the use of WPS did not influence
TIS (P=.99). There was no influence of the number of words displayed in a word prediction
list on TIS; however, perception of TIS differed according to lesion level.
Conclusions
For persons with low-cervical SCI, a small number of words should be displayed, or
WPS should not be used at all. For persons with high-cervical SCI, a larger number
of words displayed increases the comfort of use of WPS.
Keywords
List of abbreviations:
ASIA (American Spinal Injury Association), SCI (spinal cord injury), TIS (text input speed), VAS (visual analog scale), WPS (word prediction software)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: October 22, 2015
Footnotes
Disclosures: none.
Identification
Copyright
© 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
