ArticlePloS one2025
Barriers and enablers for the deployment of large language model-based conversational robots for older adults: A protocol for a systematic review of qualitative studies.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.JMIR public health and surveillance · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence-powered conversational agents have immense potential to provide social companionship and support for older adults. However, the deployment of large language model (LLM)-based conversational robots for seniors faces various technical, user acceptance, and ethical challenges.
objectivesThis systematic review aims to synthesize insights from prior qualitative studies to identify key factors that influence the real-world application of LLM-based conversational agents for the aging population. The review will inform the user-centered design of these technologies, policy discussions on their governance, and highlight research gaps. METHODS AND ANALYSIS: Eleven electronic databases will be searched for qualitative studies exploring stakeholder perspectives on using AI chatbots and robots to assist seniors. Two reviewers will independently screen studies, extract data, and appraise methodological quality using the JBI checklist. Thematic analysis will be conducted to identify major barriers and enablers, and confidence in review findings will be assessed using the GRADE-CERQual approach. The review will adhere to PRISMA-P and ENTREQ reporting guidelines to ensure transparency. DISCUSSION: Understanding and addressing obstacles to implementing LLM-powered conversational agents for older adults is crucial for leveraging this technology to support the well-being of the rapidly aging global population. This systematic review will provide timely insights to guide the responsible development and deployment of AI companions for seniors.
trial registrationClinicalTrials.gov CRD42024601264.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.