A multimodal chatbot-based system for monitoring and enhancing well-being in older adults: A proof-of-concept design.
Background: Global demographic trends toward aging populations highlight growing mental health challenges among older adults. Traditional methods for assessing psychological well-being are often infrequent, inaccessible, and subject to self-report biases, underscoring the need for innovative monitor...
| Publicado en: | Gerontechnology Vol. 25; no. 3; pp. 1 - 10 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
International Society for Gerontechnology
2026
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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=195723287&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195723287 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15691101 904R jtl: Gerontechnology issn: 15691101 maglogo: N pubinfo: dt: 2026 vid: 25 iid: 3 pid: 54298 pub: International Society for Gerontechnology artinfo: ui: 195723287 195723287 195723287 10.4017/gt.2026.25.3.1222.5 195723287 ppf: 1 ppct: 9 formats: tig: atl: A multimodal chatbot-based system for monitoring and enhancing well-being in older adults: A proof-of-concept design. aug: au: Krumscheid, Mario Mahmut, Aktas Besler, Jonas Goell, Laurin Lutz, Madline Neumann, Ricarda Preteni, Valdrit Tah Hine, Pierre Eric Bochtler, Katja affil: Faculty of Computer Science, Kempten University of Applied Sciences, Kempten, Germany sug: subj: Chatbot Utilization Psychological Well-Being In Old Age Gerontologic Care Support, Psychosocial Human Pilot Studies Conversation Emotions Voice Recognition Systems Cues Natural Language Processing Machine Learning Community Living In Old Age Digital Health Self Report Funding Source Empathy Automation Sentiment Analysis Self Assessment Psychological Distress Prevention and Control Usability Study Precision Aged Loneliness Prevention and Control Depression Prevention and Control Privacy and Confidentiality False Positive Results False Negative Results ROC Curve Regression Health Status Interpersonal Relations Questionnaires Descriptive Statistics Aged: 65+ years ab: Background: Global demographic trends toward aging populations highlight growing mental health challenges among older adults. Traditional methods for assessing psychological well-being are often infrequent, inaccessible, and subject to self-report biases, underscoring the need for innovative monitoring solutions. Research aim: The paper presents a proof-of-concept design for a multimodal chatbot- based system intended to support continuous monitoring of psychological wellbeing in older adults. It explores how natural language processing (NLP) and speech analysis technologies can be integrated to identify emotional states and enable proactive support. Methods: The proposed system integrates daily conversational interactions via an empathetic chatbot, employing automated textual sentiment analysis through a finetuned Large Language Model (LLM) and prosodic speech analysis to assess emotional states. These analyses are complemented by regular subjective self-assessments to create comprehensive and personalized well-being profiles. Results: The developed prototype shows the conceptual feasibility of unobtrusive monitoring and early detection of mental distress. The proposed design further includes mechanisms for personalized recommendations and triggering interventions when significant declines in well-being are detected. Conclusions: The current proof-of-concept requires future empirical validation of its usability, reliability, and accuracy. Further research should also address technical refinements, ethical considerations, and broader cultural adaptability. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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