Evaluation of Different Visual Keyboard Organizations on People With Complex Sensorimotor Disabilities
NCT ID: NCT06876480
Last Updated: 2025-10-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
12 participants
INTERVENTIONAL
2025-03-17
2026-05-31
Brief Summary
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Detailed Description
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Regarding access to digital tools, people with sensorimotor disabilities have difficulty accessing the pointing device (moving the mouse cursor, but also the various clicks) and input text (accessing the standard keyboard). Many assistive devices exist depending on the disabilities and abilities of the people, but also on their life habits, environmental constraints and expected uses of the computer tool (LoPresti and Brienza, 2004) (DeVries et al., 1998) (Yu-Luen Chen et al., 2003) (Y.-L. Chen et al., 2003) (Biard et al., 2011).
However, for people with complex sensorimotor disabilities, when few functional movements are possible, scanning access on a visual keyboard is preferred. At this stage, the movement of the mouse cursor, mouse clicks and text input are grouped under the same interface (visual keyboard) controlled by one or two switches. The visual keyboard presents the letters, the arrows for the direction of the mouse cursor and the different clicks (Figure 1).
In aims to increase people's text input speed, several studies have shown that the addition of linguistic prediction modules (of words or characters) would, in theory, make input text faster (Schadle \& Poirier, 2004) (Trnka et al., 2007):
Word prediction (or completion) enables words or completions to be proposed in order to reduce the number of characters to be entered. By reducing the entry of certains characters, the text input speed should theoretically be increased. In fact, this is not necessarily the case (Raynal \& Badr, 2022) (Pouplin et al., 2014).
Character prediction rearranges the layout of characters after each input, according to the probability of each one being selected. In this way, the most likely character becomes the one that can be accessed most quickly, with the least scanning. It has been shown that in the case of a pointing keyboard, this prediction does not satisfy users any more than word prediction (MacKenzie, 2008). Nevertheless, for scanning keyboards, which we are interested in here, even though there are few studies with real users, we can see that in some cases, character prediction seems interesting (Pouplin et al., 2014). Nevertheless, the main drawback of character prediction is that it results to a dynamic display of the keyboard. Indeed, the integration of character prediction seems to take place in much the same way from one study to the next, meaning a reorganization of the character set and therefore of the entire display. This prevents any memorization of the character layout for the user, and thus a certain amount of learning.
Therefore, we propose to integrate character prediction while keeping the display as static as possible.
Conditions
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Study Design
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NA
SINGLE_GROUP
SUPPORTIVE_CARE
NONE
Study Groups
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Arm with virtual keyboard
Arm with virtual keyboard: 16 days for each participant
Keyboard
Day 0 : Collection of the general data required for the study, installation of the computer device including the LifeCompanion software with the different scanning keyboards configurations and organizations. Day 0 to Day 8 : write, in copy, a text using each of the virtual keyboard configurations. Day 8 : copying a text proposed by the investigator of identical difficulty for each condition, for a duration of 15 minutes, per experimental condition. This copying exercise, with the recording of measurements, will be done for each experimental condition. Day 8 to Day 16 : write a copy of a text of his/her choice for 10 minutes, using each of the virtual keyboard configurations. Day 16 : in a text-entry evaluation situation, copying a text proposed by the investigator, of identical difficulty for each condition.
Interventions
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Keyboard
Day 0 : Collection of the general data required for the study, installation of the computer device including the LifeCompanion software with the different scanning keyboards configurations and organizations. Day 0 to Day 8 : write, in copy, a text using each of the virtual keyboard configurations. Day 8 : copying a text proposed by the investigator of identical difficulty for each condition, for a duration of 15 minutes, per experimental condition. This copying exercise, with the recording of measurements, will be done for each experimental condition. Day 8 to Day 16 : write a copy of a text of his/her choice for 10 minutes, using each of the virtual keyboard configurations. Day 16 : in a text-entry evaluation situation, copying a text proposed by the investigator, of identical difficulty for each condition.
Eligibility Criteria
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Inclusion Criteria
* Persons aged 18 or over
* Ability to read and write French
* Patient who own and use IT tool
* Patient who has used or used a virtual scanning keyboard to access IT Tools
* Health insurance beneficiary or rightful dependent
* Patient who has signed an informed and written consent. or
* Adult patient under guardianship who has signed an informed and written consent with the assistance of their guardian.
* Person agreeing to the terms of the protocol (home visits by the investigator).
Exclusion Criteria
* Patient under State Medical Aid (except in cases of exemption from affiliation).
* Persons deprived of liberty
* Pregnant or breastfeeding women.
18 Years
ALL
No
Sponsors
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Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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SAMUEL POUPLIN, PhD
Role: PRINCIPAL_INVESTIGATOR
PFNT DEPARTMENT, Raymon Pincaré Hospital - APHP
Mathieu THEBAUD
Role: STUDY_DIRECTOR
Laboratoire d'Assistances Technologiques, CMRRF Kerpape
Locations
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CHU Raymond Poincaré - APHP
Garches, , France
Countries
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Central Contacts
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Other Identifiers
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2024-A01067-40
Identifier Type: REGISTRY
Identifier Source: secondary_id
APHP240703
Identifier Type: -
Identifier Source: org_study_id
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