The Effect Of Word Prediction Settings (Frequency Of Use) On Text Input Speed In Persons With Cervical Spinal Cord Injury: A Prospective Study
DISABILITY AND REHABILITATION(2017)
摘要
Purpose: To determine whether activation of the frequency of use and automatic learning parameters of word prediction software has an impact on text input speed.Methods: Forty-five participants with cervical spinal cord injury between C4 and C8 Asia A or B accepted to participate to this study. Participants were separated in two groups: a high lesion group for participants with lesion level is at or above C5 Asia AIS A or B and a low lesion group for participants with lesion is between C6 and C8 Asia AIS A or B. A single evaluation session was carried out for each participant. Text input speed was evaluated during three copying tasks:without word prediction software (WITHOUT condition)with automatic learning of words and frequency of use deactivated (NOT_ACTIV condition)with automatic learning of words and frequency of use activated (ACTIV condition)Results: Text input speed was significantly higher in the WITHOUT than the NOT_ACTIV (p<0.001) or ACTIV conditions (p = 0.02) for participants with low lesions. Text input speed was significantly higher in the ACTIV than in the NOT_ACTIV (p = 0.002) or WITHOUT (p<0.001) conditions for participants with high lesions.Conclusions: Use of word prediction software with the activation of frequency of use and automatic learning increased text input speed in participants with high-level tetraplegia. For participants with low-level tetraplegia, the use of word prediction software with frequency of use and automatic learning activated only decreased the number of errors.
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关键词
Cervical spinal cord injury computer,frequency of use,text input speed,word prediction software
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