Exploratory Results From a Chatbot-Based Screening Tool for Computer-Mediated Communication Impairment.
Purpose: Computer-mediated communication (CMC) is a routine language modality, yet its disorder profile is poorly understood. Guided by exploratory frameworks, this study designed SpeechBot, a brief chatbot-based screener. It was piloted in an acute-care hospital to evaluate the tool's clinical feas...
| Publicado en: | Perspectives of the ASHA Special Interest Groups Vol. 10; no. 6; pp. 1677 - 1697 |
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| Autor principal: | |
| Formato: | algorithm glossary research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190171802&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190171802 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2381473X KTSD jtl: Perspectives of the ASHA Special Interest Groups issn: 2381473X maglogo: N pubinfo: dt: Dec2025 vid: 10 iid: 6 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 190171802 190171802 190171802 10.1044/2025_PERSP-24-00064 190171802 ppf: 1677 ppct: 20 formats: fmt: @attributes: type: P tig: atl: Exploratory Results From a Chatbot-Based Screening Tool for Computer-Mediated Communication Impairment. aug: au: Musaji, Imran affil: Department of Communication Sciences and Disorders, Wichita State University, KS sug: subj: Communicative Disorders Physiopathology Communication Evaluation Computer-Assisted Instruction Chatbot Health Screening Sign Language Human Male Female Adult Middle Age Pilot Studies Exploratory Research Comparative Studies Descriptive Statistics Data Analysis Software Spearman's Rank Correlation Coefficient Mann-Whitney U Test Nonparametric Statistics Sex Factors Hospitals Self Report Aged Conceptual Framework Convenience Sample Persons with Disabilities Task Performance and Analysis Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Purpose: Computer-mediated communication (CMC) is a routine language modality, yet its disorder profile is poorly understood. Guided by exploratory frameworks, this study designed SpeechBot, a brief chatbot-based screener. It was piloted in an acute-care hospital to evaluate the tool's clinical feasibility and to probe for preliminary patterns of CMC impairment. Method: Thirty-three adults who reported regularly texting and could complete three inclusion items were screened during routine bedside speech and language evaluations. Speech-language pathologists summarized function across traditional language domains on 5-point Likert scales, while a CMC impairment score (CMCIS; 0--12) captured CMC function. Consistent with exploratory aims, no confirmatory hypotheses were tested. Results: Impairment scores clustered into three strata: no--minimal (CMCIS 0--3; 79%), moderate (4--6; 15%), and severe (≥ 7; 6%). Seven participants with moderate-to-severe CMCIS scores demonstrated no observed deficits in traditional speech-language domains during bedside evaluations. Higher CMCIS was associated with slower response times (ρ = .56, p = .001), but not with age or clinician-rated language scores. Conclusion: These exploratory findings support the feasibility of chatbot-based CMC screening and generate several lines of future inquiry, including refining CMC impairment metrics; conducting rigorous experimental research to contextualize CMC impairment against established cognitive--linguistic deficits; and validating CMC screening in larger, demographically diverse samples. pubtype: Academic Journal doctype: algorithm glossary research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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