Machine Analysis and Reporting of Spoken personal stories with aphasia (MARS): Participatory Research Report
| Title: | Machine Analysis and Reporting of Spoken personal stories with aphasia (MARS): Participatory Research Report |
|---|---|
| Authors: | Madeline Cruice; Lucy Dipper; Rebecca Bright; Rachel Barnard; Niamh Devane |
| Publication Year: | 2026 |
| Collection: | City, University of London: Figshare |
| Subject Terms: | Speech pathology; aphasia assessment tools; machine analysis; Participant and public involvement and engagement |
| Description: | Multi-level discourse treatments show promise in aphasia rehabilitation ( Dipper et al. 2024 ). However, analysis of discourse is time consuming and requires specialist training. One solution is technology-assisted discourse analysis. This report of participatory research shares work to establish the interest and demand for technology-supported discourse analysis in speech and language therapy practice. The work was funded by Participatory Research Funding (Research England), City, University of London in 2022. |
| Document Type: | report |
| Language: | unknown |
| Relation: | https://figshare.com/articles/report/Machine_Analysis_and_Reporting_of_Spoken_personal_stories_with_aphasia_MARS_Participatory_Research_Report/31323880 |
| DOI: | 10.25383/city.31323880.v1 |
| Availability: | https://doi.org/10.25383/city.31323880.v1; https://figshare.com/articles/report/Machine_Analysis_and_Reporting_of_Spoken_personal_stories_with_aphasia_MARS_Participatory_Research_Report/31323880 |
| Rights: | CC BY-NC-SA 4.0 |
| Accession Number: | edsbas.A1C5DC8 |
| Database: | BASE |