Dysorthographia, Neurologic Disorder
Conditions
Keywords
word prediction, dysorthographia
Brief summary
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.
Interventions
OTHERprediction software with spell checker
test with prediction software with spell checker
Sponsors
Centre d'Investigation Clinique et Technologique 805
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Intervention model description
interventionnal, prsopective, randomized, multicentric
Eligibility
Sex/Gender
ALL
Age
6 Years to 25 Years
Healthy volunteers
No
Inclusion criteria
* Aged between 6 and 25 years old For center 1 * patient with dysorthographia * educational level greater than or equal to CE2 * A developmental level in reading on the Evalouette test (Evaleo battery) greater than or equal to CE1 For center 2 * Neurologic disorder impacting communication
Exclusion criteria
* Patient's refusal to participate in the study * Persons under guardianship * Pregnant women * No affiliation to a social security scheme (beneficiary or beneficiary) * Having visual disturbances preventing the use of the computer tool
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| number of spelling errors | 20 min | total of number of spelling errors during the test |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Prediction usage rate | 20 min | number of times the prediction is used |
| Keystrokes Saving Rate | 5 min | measured by the percentage of input saved by word prediction versus a keyboard alone |
| Text input speed | 20 min | Text input speed in the test |
| Fatigue | 1 min | Likert Analog Visual Scale \[0-10\] |
| software Satisfaction | 1 min | Likert Analog Visual Scale \[0-10\] |
| Attentional load | 1 min | Likert Analog Visual Scale \[0-10\] |
Countries
France
Outcome results
None listed