Conversation Analysis of Texting Exchanges in Aphasia.


Journal

American journal of speech-language pathology
ISSN: 1558-9110
Titre abrégé: Am J Speech Lang Pathol
Pays: United States
ID NLM: 9114726

Informations de publication

Date de publication:
17 10 2023
Historique:
medline: 23 10 2023
pubmed: 15 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

Conversation analysis (CA) is an established method that has been used to understand how aphasia impacts the conversational success of individuals with aphasia (IWAs) and their conversation partners. This article demonstrates CA as a valuable analytic tool for studying text messaging in aphasia to better understand the specific co-constructed actions of IWAs and their partners as they engage in this communication modality. CA was applied to transcribed text message data from eight IWAs. Conversational structures present in face-to-face interactions were identified, segmented, and explicated with a focus on how IWAs and their partners negotiate interaction in this medium. Three key elements of CA, namely, sequential organization, repair, and topic negotiation, were identified within the texting exchanges of participants and their texting partners and compared with existing CA studies on electronic messaging in adults without brain injury. Findings suggest a multitude of strategies that IWAs and their partners used to meet both transactional and interactional goals of communication. Understanding gained from applying CA to texting in aphasia can inform the development of interventions that improve access to digital communication for IWAs.

Identifiants

pubmed: 37579729
doi: 10.1044/2023_AJSLP-22-00303
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2512-2527

Auteurs

Jamie H Azios (JH)

University of Louisiana, Lafayette.

Jaime B Lee (JB)

James Madison University, Harrisonburg, VA.

Leora R Cherney (LR)

Shirley Ryan AbilityLab, Chicago, IL.
Feinberg School of Medicine, Northwestern University, Chicago, IL.

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Classifications MeSH