ORCID
- Rohit Shankar: 0000-0002-1183-6933
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.
DOI
10.1049/htl2.12090
Publication Date
2024-09-05
Publication Title
Healthcare Technology Letters
Keywords
Autism, Autism spectrum disorder, speech, speech processing, technology
Recommended Citation
Shankar, R. (2024) 'SpeechMatch—A novel digital approach to supporting communication for neurodiverse groups', Healthcare Technology Letters, . Available at: https://doi.org/10.1049/htl2.12090