The main objective of the PREDICT4ALL project is to provide written communication in a computer, reducing the number of spelling errors for each user. The effectiveness of written communication is defined in this study by the number of spelling errors for each user. Word prediction (and therefore correction) must be able to be configured by a therapist (speech therapist, occupational therapist). Adapting the prediction to user errors should also allow it to be more relevant throughout the text input. This software efficiency must increase text input speed, Reduce the cognitive load, establish a classification of spelling errors adapted to the context of text input speed and develop the word prediction module tolerant of these spelling errors.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
13
test with prediction software with spell checker
Raymond Poincaré hospital
Garches, France
CMRRF Kerpape
Ploemeur, France
number of spelling errors
total of number of spelling errors during the test
Time frame: 20 min
Text input speed
Text input speed in the test
Time frame: 20 min
Prediction usage rate
number of times the prediction is used
Time frame: 20 min
Keystrokes Saving Rate
measured by the percentage of input saved by word prediction versus a keyboard alone
Time frame: 5 min
Attentional load
Likert Analog Visual Scale \[0-10\]
Time frame: 1 min
Fatigue
Likert Analog Visual Scale \[0-10\]
Time frame: 1 min
software Satisfaction
Likert Analog Visual Scale \[0-10\]
Time frame: 1 min
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