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...

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Publicado en:Gerontechnology Vol. 25; no. 3; pp. 1 - 10
Autores principales: Krumscheid, Mario, Mahmut, Aktas, Besler, Jonas, Goell, Laurin, Lutz, Madline, Neumann, Ricarda, Preteni, Valdrit, Tah Hine, Pierre Eric, Bochtler, Katja
Formato: research tables/charts Journal Article
Publicado: International Society for Gerontechnology 2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2026
      vid: 25
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      pub: International Society for Gerontechnology
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        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
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