User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis.
Introduction: Understanding user engagement with conversational agents is key to their sustainable use in mobile health and improving patient outcomes. This retrospective study analyzed interactions with a multimodal conversational agent in the Albert Health app to identify usage patterns and barrie...
| Publicado en: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
6/9/2025
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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=186463858&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186463858 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 6/9/2025 vid: 49 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186463858 186463858 186463858 10.1007/s10916-025-02202-2 186463858 ppf: 1 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis. aug: au: Colakoglu, Selahattin Durmus, Mustafa Polat, Zeynep Pelin Yildiz, Asli Sezgin, Emre affil: Department of Clinical Development, Albert Health, Istanbul, Turkey sug: subj: Chronic Disease Therapy Self Care Methods Disease Management Communication Mobile Applications Utilization Patient Participation Health Services Accessibility Human Turkiye Male Female Infant, Newborn Infant Child, Preschool Child Adolescence Adult Middle Age Retrospective Design Telemedicine Artificial Intelligence Descriptive Statistics Mann-Whitney U Test Chi Square Test Logistic Regression Health Information Blood Pressure Odds Ratio Confidence Intervals Pearson's Correlation Coefficient Infant, Newborn: birth-1 month Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Introduction: Understanding user engagement with conversational agents is key to their sustainable use in mobile health and improving patient outcomes. This retrospective study analyzed interactions with a multimodal conversational agent in the Albert Health app to identify usage patterns and barriers to long-term engagement in self-care and chronic disease management. Methods: We retrospectively analyzed interactions from 24,537 users of a Turkish-language mobile health app (between January 1, 2022, and December 31, 2023). Interactions with the app's multimodal conversational agent (voice and text) were categorized by demographics, interaction type, and engagement mode. Descriptive statistics summarized patterns, while Mann-Whitney U, Chi-square, and logistic regression identified group differences and predictors of sustainable engagement. Results: Most users were female (56%) and aged 30–45 (44%). The majority (92%) used general health programs, with only 8% in disease-specific ones. Common interaction types included health information (32%), small talk (20%), and clinical parameter logging (16%; e.g., blood pressure). Voice use was frequent in fallback (80%; unclear/ out-of-scope input), small talk (64%), and medication tasks (53%), while screen input was more common for clinical logging (61%) and health queries (59%). Engagement peaked in the first week and declined after 10 days. Sustainable engagement was associated with disease-specific program use (OR = 0.67, 95%CI: 0.60–0.74, p < 0.001), greater voice interaction (OR = 1.005, 95%CI: 1.004–1.006, p < 0.001), and a balanced mix of clinical and non-clinical use (OR = 1.56, 95%CI: 1.43–1.70, p < 0.05). Conclusions: This study highlights user preferences for voice interaction and health information access when using a multimodal conversational agent. The high rate of single-session users (58%) points to barriers to sustainable engagement, emphasizing the need for better user experience strategies. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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