Computer-based script training for aphasia: Emerging themes from post-treatment interviews
Abstract
This study presents results of post-treatment interviews following computer-based script training for persons with chronic aphasia. Each of the 23 participants received 9 weeks of AphasiaScripts training. Post-treatment interviews were conducted with the person with aphasia and/or a significant other person. The 23 interviews yielded 584 coded comments that were categorized into ten themes. Five of the themes related to the communication behaviors of the participant, whereas the other five related to the computer program and study procedures. Examples of each theme are presented. The themes provide qualitative evidence of change and generalization, supporting the use of this computer-based script training program.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The response of users to computer based treatments has been positive and tools have been made accessible even to people with severe aphasia.
“The response of users to computer based treatments has been positive [19, 20, 21] and tools have been made accessible even to people with severe aphasia [22].”
From Evaluating the Benefits of Aphasia Intervention Delivered in Virtual Reality: Results of a Quasi-Randomised Study (2016) · cites this paper as [21]
Cites
Interviewing people with aphasia: Insights into method adjustments from a pilot study
Luck, A. M., & Rose, M. L. (2007) · Aphasiology · doi:10.1080/02687030601065470 · Cited by 146 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Speech and language therapy for aphasia following stroke
Brady, M. C., Kelly, H., Godwin, J., Enderby, P., & Campbell, P. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000425.pub4 · Cited by 1,159 · see citing works
Improved language in chronic aphasia after self-delivered iPad speech therapy
Stark, B. C., & Warburton, E. A. (2018) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2016.1146150 · Cited by 110 · see citing works
Marshall, J., Booth, T., Devane, N., Galliers, J., Greenwood, H., Hilari, K., Talbot, R., Wilson, S., & Woolf, C. (2016) · PLOS ONE · doi:10.1371/journal.pone.0160381 · Cited by 111 · see citing works
“Participant views are also positive [21].”
BackgroundAutomatic Assessment of Speech Intelligibility for Individuals with Aphasia
Le, D., Licata, K., Persad, C., & Provost, E. M. (2016) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2016.2598428 · Cited by 59 · see citing works
Acquisition and Maintenance of Scripts in Aphasia: A Comparison of Two Cuing Conditions
Cherney, L. R., Kaye, R. C., & van Vuuren, S. (2014) · American Journal of Speech-Language Pathology · doi:10.1044/2014_ajslp-13-0097 · Cited by 46 · see citing works
Self-citationHerath, H. M. D. P. M., Weraniyagoda, W. A. S. A., Rajapaksha, R. T. M., Wijesekara, P. A. D. S. N., Sudheera, K. L. K., & Chong, P. H. J. (2022) · Sensors · doi:10.3390/s22186966 · Cited by 23 · see citing works
Integrating face-to-face language therapy with virtual reality applications for persons with aphasia
Stark, J., Pons, C., & Daniel, C. (2013) · 2013 International Conference on Virtual Rehabilitation (ICVR) · doi:10.1109/icvr.2013.6662087 · Cited by 9 · see citing works
Ericson, C., Latysheva, A., Poirier, S.-È., & Fossard, M. (2025) · Brain Sciences · doi:10.3390/brainsci15020122 · Cited by 7 · see citing works
“From the therapists’ perspective, self-administered therapies can reduce waiting lists [17], alleviate the workload, and increase the number of patients treated [18].”
- Authors
- Cherney, L. R., Halper, A. S., & Kaye, R. C.
- Affiliations
- Northwestern University (US)
- Shirley Ryan AbilityLab (US)
- Corresponding author
- Cherney, Leora R.
- ORCID
- Cherney, Leora R.
- Venue
- Journal of Communication Disorders
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 44
- Issue
- 4
- Pages
- 493-501
- ISSN
- 0021-9924 (ISSN-L)
- OpenAlex
- W2044133885
- Cited by
- 58
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 4 · 2022: 7 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 5 · 2015: 2 · 2014: 5 · 2013: 5 · 2012: 3
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Communication Disorders (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Disability and Rehabilitation Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- aphasia, script training, computer-based intervention, communication behavior, generalization of training, chronic aphasia, speech therapy
- MeSH terms
- Adult, Aged, Aphasia, Communication, Computer-Assisted Instruction, Female, Humans, Interviews as Topic, Male, Middle Aged, Speech, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review