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Djamel Bensmail - One of the best experts on this subject based on the ideXlab platform.

  • Word Prediction Software in people with cervical spinal cord injury: A literature review
    Annals of Physical and Rehabilitation Medicine, 2018
    Co-Authors: Samuel Pouplin, Djamel Bensmail, François Routhier, Nicolas Roche
    Abstract:

    Introduction/Background Individuals with cervical spinal cord injury (ICSCI) have difficulty accessing computers through conventional methods. The purpose of this paper was to provide a critical narrative review on types of computer access devices and word Prediction Software for ICSCI. Material and method A search was conducted in several electronic databases. Results There is limited data about Test Input Speed (TIS) in ICSCI. One study showed that TIS in ICSCI was significantly lower [mean = 11 words per minute (wpm)] (P = 0.001) than TIS of abled-bodied individuals (19 wpm). In a sample of ICSCI, there was a significant difference between voice recognition system (mean = 18 wpm), a standard keyboard (mean = 8 wpm) and an onscreen keyboard (mean = 3 wpm) (P  Conclusion Each professional could provide clear and accurate information on the benefits of WPS for people with cervical SCI. WPS must be set regarding the needs of people with cervical SCI. If not, the use of these Software's may go against the expected benefits.

  • 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, 2016
    Co-Authors: Samuel Pouplin, Nicolas Roche, Isabelle Vaugier, Jean-yves Antoine, Sandra Pottier, Marjorie Figere, Djamel Bensmail
    Abstract:

    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

  • Recommendations and settings of word Prediction Software by health-related professionals for patients with spinal cord injury: a prospective observational study.
    European journal of physical and rehabilitation medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Caroline Hugeron, Isabelle Vaugier, Djamel Bensmail
    Abstract:

    BACKGROUND For people with cervical spinal cord injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as word Prediction Software (WPS). Health-related professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. AIM To analyze word Prediction Software settings used by HRP for people with cervical SCI. DESIGN Prospective observational study. SETTING Garches, France; health-related professionals who recommend Word Prediction Software. METHODS A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. RESULTS A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others (P

  • Recommendations and settings of word Prediction Software by health-related professionals for people with spinal cord injury: A prospective observational study
    Annals of Physical and Rehabilitation Medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Djamel Bensmail
    Abstract:

    Background For people with cervical Spinal Cord Injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as Word Prediction Software (WPS). Health-Related Professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. The aim of this study is to analyze word Prediction Software settings used by HRP for people with cervical SCI. Method A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. Results A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others ( p Discussion and conclusion The results showed that there was a difference between the perception of the importance of some settings and data in the literature regarding the optimization of settings. Moreover, although some parameters were considered as very important, they were rarely specifically configured. Confidence in default settings and lack of information regarding optimal settings seem to be the main reasons for this discordance. This could also explain the disparate results of studies which evaluated the impact of WPS on text input speed in people with cervical SCI.

Samuel Pouplin - One of the best experts on this subject based on the ideXlab platform.

  • Word Prediction Software in people with cervical spinal cord injury: A literature review
    Annals of Physical and Rehabilitation Medicine, 2018
    Co-Authors: Samuel Pouplin, Djamel Bensmail, François Routhier, Nicolas Roche
    Abstract:

    Introduction/Background Individuals with cervical spinal cord injury (ICSCI) have difficulty accessing computers through conventional methods. The purpose of this paper was to provide a critical narrative review on types of computer access devices and word Prediction Software for ICSCI. Material and method A search was conducted in several electronic databases. Results There is limited data about Test Input Speed (TIS) in ICSCI. One study showed that TIS in ICSCI was significantly lower [mean = 11 words per minute (wpm)] (P = 0.001) than TIS of abled-bodied individuals (19 wpm). In a sample of ICSCI, there was a significant difference between voice recognition system (mean = 18 wpm), a standard keyboard (mean = 8 wpm) and an onscreen keyboard (mean = 3 wpm) (P  Conclusion Each professional could provide clear and accurate information on the benefits of WPS for people with cervical SCI. WPS must be set regarding the needs of people with cervical SCI. If not, the use of these Software's may go against the expected benefits.

  • 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, 2016
    Co-Authors: Samuel Pouplin, Nicolas Roche, Isabelle Vaugier, Jean-yves Antoine, Sandra Pottier, Marjorie Figere, Djamel Bensmail
    Abstract:

    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

  • Recommendations and settings of word Prediction Software by health-related professionals for patients with spinal cord injury: a prospective observational study.
    European journal of physical and rehabilitation medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Caroline Hugeron, Isabelle Vaugier, Djamel Bensmail
    Abstract:

    BACKGROUND For people with cervical spinal cord injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as word Prediction Software (WPS). Health-related professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. AIM To analyze word Prediction Software settings used by HRP for people with cervical SCI. DESIGN Prospective observational study. SETTING Garches, France; health-related professionals who recommend Word Prediction Software. METHODS A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. RESULTS A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others (P

  • Recommendations and settings of word Prediction Software by health-related professionals for people with spinal cord injury: A prospective observational study
    Annals of Physical and Rehabilitation Medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Djamel Bensmail
    Abstract:

    Background For people with cervical Spinal Cord Injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as Word Prediction Software (WPS). Health-Related Professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. The aim of this study is to analyze word Prediction Software settings used by HRP for people with cervical SCI. Method A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. Results A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others ( p Discussion and conclusion The results showed that there was a difference between the perception of the importance of some settings and data in the literature regarding the optimization of settings. Moreover, although some parameters were considered as very important, they were rarely specifically configured. Confidence in default settings and lack of information regarding optimal settings seem to be the main reasons for this discordance. This could also explain the disparate results of studies which evaluated the impact of WPS on text input speed in people with cervical SCI.

Nicolas Roche - One of the best experts on this subject based on the ideXlab platform.

  • Word Prediction Software in people with cervical spinal cord injury: A literature review
    Annals of Physical and Rehabilitation Medicine, 2018
    Co-Authors: Samuel Pouplin, Djamel Bensmail, François Routhier, Nicolas Roche
    Abstract:

    Introduction/Background Individuals with cervical spinal cord injury (ICSCI) have difficulty accessing computers through conventional methods. The purpose of this paper was to provide a critical narrative review on types of computer access devices and word Prediction Software for ICSCI. Material and method A search was conducted in several electronic databases. Results There is limited data about Test Input Speed (TIS) in ICSCI. One study showed that TIS in ICSCI was significantly lower [mean = 11 words per minute (wpm)] (P = 0.001) than TIS of abled-bodied individuals (19 wpm). In a sample of ICSCI, there was a significant difference between voice recognition system (mean = 18 wpm), a standard keyboard (mean = 8 wpm) and an onscreen keyboard (mean = 3 wpm) (P  Conclusion Each professional could provide clear and accurate information on the benefits of WPS for people with cervical SCI. WPS must be set regarding the needs of people with cervical SCI. If not, the use of these Software's may go against the expected benefits.

  • 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, 2016
    Co-Authors: Samuel Pouplin, Nicolas Roche, Isabelle Vaugier, Jean-yves Antoine, Sandra Pottier, Marjorie Figere, Djamel Bensmail
    Abstract:

    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

  • Recommendations and settings of word Prediction Software by health-related professionals for patients with spinal cord injury: a prospective observational study.
    European journal of physical and rehabilitation medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Caroline Hugeron, Isabelle Vaugier, Djamel Bensmail
    Abstract:

    BACKGROUND For people with cervical spinal cord injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as word Prediction Software (WPS). Health-related professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. AIM To analyze word Prediction Software settings used by HRP for people with cervical SCI. DESIGN Prospective observational study. SETTING Garches, France; health-related professionals who recommend Word Prediction Software. METHODS A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. RESULTS A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others (P

  • Recommendations and settings of word Prediction Software by health-related professionals for people with spinal cord injury: A prospective observational study
    Annals of Physical and Rehabilitation Medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Djamel Bensmail
    Abstract:

    Background For people with cervical Spinal Cord Injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as Word Prediction Software (WPS). Health-Related Professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. The aim of this study is to analyze word Prediction Software settings used by HRP for people with cervical SCI. Method A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. Results A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others ( p Discussion and conclusion The results showed that there was a difference between the perception of the importance of some settings and data in the literature regarding the optimization of settings. Moreover, although some parameters were considered as very important, they were rarely specifically configured. Confidence in default settings and lack of information regarding optimal settings seem to be the main reasons for this discordance. This could also explain the disparate results of studies which evaluated the impact of WPS on text input speed in people with cervical SCI.

Isabelle Vaugier - One of the best experts on this subject based on the ideXlab platform.

  • 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, 2016
    Co-Authors: Samuel Pouplin, Nicolas Roche, Isabelle Vaugier, Jean-yves Antoine, Sandra Pottier, Marjorie Figere, Djamel Bensmail
    Abstract:

    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

  • Recommendations and settings of word Prediction Software by health-related professionals for patients with spinal cord injury: a prospective observational study.
    European journal of physical and rehabilitation medicine, 2015
    Co-Authors: Samuel Pouplin, Nicolas Roche, Caroline Hugeron, Isabelle Vaugier, Djamel Bensmail
    Abstract:

    BACKGROUND For people with cervical spinal cord injury (SCI), access to computers can be difficult, thus several devices have been developed to facilitate their use. However, text input speed remains very slow compared to users who do not have a disability, even with these devices. Several methods have been developed to increase text input speed, such as word Prediction Software (WPS). Health-related professionals (HRP) often recommend this type of Software to people with cervical SCI. WPS can be customized using different settings. It is likely that the settings used will influence the effectiveness of the Software on text input speed. However, there is currently a lack of literature regarding professional practices for the setting of WPS as well as the impact for users. AIM To analyze word Prediction Software settings used by HRP for people with cervical SCI. DESIGN Prospective observational study. SETTING Garches, France; health-related professionals who recommend Word Prediction Software. METHODS A questionnaire was submitted to HRP who advise tetraplegic people regarding the use of communication devices. RESULTS A total of 93 professionals responded to the survey. The most frequently recommended Software was Skippy, a commercially available Software. HRP rated the importance of the possibility to customise the settings as high. Moreover, they rated some settings as more important than others (P

Wolfgang L. Zagler - One of the best experts on this subject based on the ideXlab platform.

  • EMU : A European multilingual text Prediction Software
    Lecture Notes in Computer Science, 2006
    Co-Authors: Christian Beck, Gottfried Seisenbacher, Georg Edelmayer, Wolfgang L. Zagler
    Abstract:

    EMU is a program that supports disabled people to write text faster and/or with less physical load. The program was developed based on knowledge of the outcome of the R&D project IST-2000-25420 FASTY. This paper shows how the commercially available program EMU was developed with special attention to the test results with the final prototype coming from the EC project.

  • ICCHP - EMU – a european multilingual text Prediction Software
    Lecture Notes in Computer Science, 2006
    Co-Authors: Christian Beck, Gottfried Seisenbacher, Georg Edelmayer, Wolfgang L. Zagler
    Abstract:

    EMU is a program that supports disabled people to write text faster and/or with less physical load. The program was developed based on knowledge of the outcome of the R&D project IST-2000-25420 FASTY. This paper shows how the commercially available program EMU was developed with special attention to the test results with the final prototype coming from the EC project