Speech and Language Practitioners' Experiences of Commercially Available Voice-Assisted Technology: Web-Based Survey Study.

health technology mobile phone professional practice rehabilitation speech and language therapy speech therapy voice-assisted technology

Journal

JMIR rehabilitation and assistive technologies
ISSN: 2369-2529
Titre abrégé: JMIR Rehabil Assist Technol
Pays: Canada
ID NLM: 101703412

Informations de publication

Date de publication:
05 Jan 2022
Historique:
received: 31 03 2021
accepted: 22 11 2021
revised: 31 08 2021
entrez: 6 1 2022
pubmed: 7 1 2022
medline: 7 1 2022
Statut: epublish

Résumé

Speech and language therapy involves the identification, assessment, and treatment of children and adults who have difficulties with communication, eating, drinking, and swallowing. Globally, pressing needs outstrip the availability of qualified practitioners who, of necessity, focus on individuals with advanced needs. The potential of voice-assisted technology (VAT) to assist people with speech impairments is an emerging area of research but empirical work exploring its professional adoption is limited. This study aims to explore the professional experiences of speech and language therapists (SaLTs) using VAT with their clients to identify the potential applications and barriers to VAT adoption and thereby inform future directions of research. A 23-question survey was distributed to the SaLTs from the United Kingdom using a web-based platform, eliciting both checkbox and free-text responses, to questions on perceptions and any use experiences of VAT. Data were analyzed descriptively with content analysis of free text, providing context to their specific experiences of using VAT in practice, including barriers and opportunities for future use. A total of 230 UK-based professionals fully completed the survey; most were technologically competent and were aware of commercial VATs (such as Alexa and Google Assistant). However, only 49 (21.3%) SaLTs had used VAT with their clients and described 57 use cases. They reported using VAT with 10 different client groups, such as people with dysarthria and users of augmentative and alternative communication technologies. Of these, almost half (28/57, 49%) used the technology to assist their clients with day-to-day tasks, such as web browsing, setting up reminders, sending messages, and playing music. Many respondents (21/57, 37%) also reported using the technology to improve client speech, to facilitate speech practice at home, and to enhance articulation and volume. Most reported a positive impact of VAT use, stating improved independence (22/57, 39%), accessibility (6/57, 10%), and confidence (5/57, 8%). Some respondents reported increased client communication (5/57, 9%) and sociability (3/57, 5%). Reasons given for not using VAT in practice included lack of opportunity (131/181, 72.4%) and training (63/181, 34.8%). Most respondents (154/181, 85.1%) indicated that they would like to try VAT in the future, stating that it could have a positive impact on their clients' speech, independence, and confidence. VAT is used by some UK-based SaLTs to enable communication tasks at home with their clients. However, its wider adoption may be limited by a lack of professional opportunity. Looking forward, additional benefits are promised, as the data show a level of engagement, empowerment, and the possibility of achieving therapeutic outcomes in communication impairment. The disparate responses suggest that this area is ripe for the development of evidence-based clinical practice, starting with a clear definition, outcome measurement, and professional standardization.

Sections du résumé

BACKGROUND BACKGROUND
Speech and language therapy involves the identification, assessment, and treatment of children and adults who have difficulties with communication, eating, drinking, and swallowing. Globally, pressing needs outstrip the availability of qualified practitioners who, of necessity, focus on individuals with advanced needs. The potential of voice-assisted technology (VAT) to assist people with speech impairments is an emerging area of research but empirical work exploring its professional adoption is limited.
OBJECTIVE OBJECTIVE
This study aims to explore the professional experiences of speech and language therapists (SaLTs) using VAT with their clients to identify the potential applications and barriers to VAT adoption and thereby inform future directions of research.
METHODS METHODS
A 23-question survey was distributed to the SaLTs from the United Kingdom using a web-based platform, eliciting both checkbox and free-text responses, to questions on perceptions and any use experiences of VAT. Data were analyzed descriptively with content analysis of free text, providing context to their specific experiences of using VAT in practice, including barriers and opportunities for future use.
RESULTS RESULTS
A total of 230 UK-based professionals fully completed the survey; most were technologically competent and were aware of commercial VATs (such as Alexa and Google Assistant). However, only 49 (21.3%) SaLTs had used VAT with their clients and described 57 use cases. They reported using VAT with 10 different client groups, such as people with dysarthria and users of augmentative and alternative communication technologies. Of these, almost half (28/57, 49%) used the technology to assist their clients with day-to-day tasks, such as web browsing, setting up reminders, sending messages, and playing music. Many respondents (21/57, 37%) also reported using the technology to improve client speech, to facilitate speech practice at home, and to enhance articulation and volume. Most reported a positive impact of VAT use, stating improved independence (22/57, 39%), accessibility (6/57, 10%), and confidence (5/57, 8%). Some respondents reported increased client communication (5/57, 9%) and sociability (3/57, 5%). Reasons given for not using VAT in practice included lack of opportunity (131/181, 72.4%) and training (63/181, 34.8%). Most respondents (154/181, 85.1%) indicated that they would like to try VAT in the future, stating that it could have a positive impact on their clients' speech, independence, and confidence.
CONCLUSIONS CONCLUSIONS
VAT is used by some UK-based SaLTs to enable communication tasks at home with their clients. However, its wider adoption may be limited by a lack of professional opportunity. Looking forward, additional benefits are promised, as the data show a level of engagement, empowerment, and the possibility of achieving therapeutic outcomes in communication impairment. The disparate responses suggest that this area is ripe for the development of evidence-based clinical practice, starting with a clear definition, outcome measurement, and professional standardization.

Identifiants

pubmed: 34989694
pii: v9i1e29249
doi: 10.2196/29249
pmc: PMC8771342
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e29249

Informations de copyright

©Pranav Kulkarni, Orla Duffy, Jonathan Synnott, W George Kernohan, Roisin McNaney. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 05.01.2022.

Références

Rural Remote Health. 2012;12:2108
pubmed: 23240871
Int J Lang Commun Disord. 2017 May;52(3):253-269
pubmed: 27943521
Int J Lang Commun Disord. 2001;36 Suppl:167-72
pubmed: 11340775
Am J Speech Lang Pathol. 2016 May 1;25(2):214-32
pubmed: 27145396
BMC Med Inform Decis Mak. 2017 Jun 27;17(1):92
pubmed: 28655299
Curr Opin Psychol. 2020 Dec;36:25-31
pubmed: 32361651
J Pain Res. 2010 Dec 07;3:241-7
pubmed: 21311717
Eur Heart J Digit Health. 2021 Feb 04;2(1):62-74
pubmed: 34048508
J Am Med Inform Assoc. 2016 Jan;23(1):212-20
pubmed: 26078410
J Commun Disord. 2017 Jan - Feb;65:43-53
pubmed: 28171741
J Med Internet Res. 2020 Sep 25;22(9):e18431
pubmed: 32975525
J Telemed Telecare. 2017 Feb;23(2):273-282
pubmed: 26892005
Cyberpsychol Behav. 2003 Aug;6(4):389-95
pubmed: 14511451
EXCLI J. 2013 May 13;12:413-36
pubmed: 26417235
J Adv Nurs. 2006 May;54(3):359-69
pubmed: 16629920
JMIR Mhealth Uhealth. 2021 Jan 13;9(1):e20427
pubmed: 33439130
JMIR Rehabil Assist Technol. 2021 Mar 11;8(1):e23006
pubmed: 33704072

Auteurs

Pranav Kulkarni (P)

Action Lab, Department of Human Centred Computing, Monash University, Clayton, Australia.

Orla Duffy (O)

School of Health Sciences, Ulster University, Newtonabbey, United Kingdom.

Jonathan Synnott (J)

School of Computing Sciences, Ulster University, Newtonabbey, United Kingdom.

W George Kernohan (WG)

Institute of Nursing and Health Research, Ulster University, Newtonabbey, United Kingdom.

Roisin McNaney (R)

Action Lab, Department of Human Centred Computing, Monash University, Clayton, Australia.

Classifications MeSH