SpeechMatch—A novel digital approach to supporting communication for neurodiverse groups

Communication can be a challenge for a significant minority of the population. Those with intellectual disability, autism, or Stroke survivors can encounter significant problems and stigma in their communication abilities leading to worse health and social outcomes. SpeechMatch (https://www.speechmatch.com/) is a digital App which is a pragmatic mobile language training platform that teaches individuals to "match" critical components of conversation and looks to provides subjects with immediate visual feedback to shape identification and expression of emotion in speech. While it has been used in autistic people there has been no systematic exploration of its strengths and weaknesses. Further, it's potential to afford improvements in communication to other vulnerable groups such as intellectual disability or Stroke survivors has not been explored. This study looked to understand acceptability from people with intellectual disability and/or autism and those recovering from a stroke on the utility and scope of SpeechMatch using co-production techniques using experts by experience and a mixed methods evaluation. Results across four domains suggest high acceptability levels but highlighting needs for platform capabilities improvement and better user engagement. The study outlines a vital and essential aspect for improving SpeechMatch. It gives a template for evidenced based quality improvement of similar devices.

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Institutions

Publication Details

Journal
Healthcare Technology Letters
Published
2024-09-05
DOI
https://doi.org/10.1049/htl2.12090
Citations
2
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.69
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article

SpeechMatch—A novel digital approach to supporting communication for neurodiverse groups

Samuel Tromans, Sarah Lennard, Sarah Mitchell, Rohit Shankar et al.
2 citations
Healthcare Technology Letters
Autism Spectrum Disorder Research
0.69
article

SpeechMatch—A novel digital approach to supporting communication for neurodiverse groups

Samuel Tromans, Sarah Lennard, Sarah Mitchell, Rohit Shankar, Robert Taub
article en
2 citations

Abstract

Communication can be a challenge for a significant minority of the population. Those with intellectual disability, autism, or Stroke survivors can encounter significant problems and stigma in their communication abilities leading to worse health and social outcomes. SpeechMatch (https://www.speechmatch.com/) is a digital App which is a pragmatic mobile language training platform that teaches individuals to "match" critical components of conversation and looks to provides subjects with immediate visual feedback to shape identification and expression of emotion in speech. While it has been used in autistic people there has been no systematic exploration of its strengths and weaknesses. Further, it's potential to afford improvements in communication to other vulnerable groups such as intellectual disability or Stroke survivors has not been explored. This study looked to understand acceptability from people with intellectual disability and/or autism and those recovering from a stroke on the utility and scope of SpeechMatch using co-production techniques using experts by experience and a mixed methods evaluation. Results across four domains suggest high acceptability levels but highlighting needs for platform capabilities improvement and better user engagement. The study outlines a vital and essential aspect for improving SpeechMatch. It gives a template for evidenced based quality improvement of similar devices.

Healthcare Technology LettersVol. 11(6)
University of Leicester (GB), Cornwall Partnership NHS Foundation Trust (GB), Leicestershire Partnership NHS Trust (GB), University of Plymouth (GB)
Quality Education
Openalex Percentile: Top 31%
Autism Spectrum Disorder Research
0.69
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SpeechMatch—A novel digital approach to supporting communication for neurodiverse groups — Samuel Tromans, Sarah Lennard, et al. · Healthcare Technology Letters (2024) | TGRS Research Map | TGRS