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

Author:

Lennard Sarah12,Tromans Samuel J.34,Taub Robert5,Mitchell Sarah12,Shankar Rohit12ORCID

Affiliation:

1. Department of Intellectual Disability Neuropsychiatry, Research Team Cornwall Partnership NHS Foundation Trust Truro UK

2. Cornwall Intellectual Disability Equitable Research (CIDER) University of Plymouth Peninsula School of Medicine Truro UK

3. Department of Population Health Sciences, College of Life Sciences University of Leicester Leicester UK

4. Adult Learning Disability Service Leicestershire Partnership NHS Trust Leicester UK

5. The Arts Institute University of Plymouth Plymouth UK

Abstract

AbstractCommunication 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.

Publisher

Institution of Engineering and Technology (IET)

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