ArticleDigital health
Perspectives on artificial intelligence-enabled socially assistive robots in long-term care: Experiences with LOVOT among people with dementia and family caregivers.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence-enabled social robots for facilitating social interactions in patients with dementia: a systematic review.Frontiers in psychology · 2026Pooled it
- Research hotspots, knowledge structure, and emerging trends in healthcare robotics for older adults: a bibliometric analysis (2015-2026).Journal of robotic surgery · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Artificial intelligence (AI)-enabled Socially Assistive Robots (SARs) are reshaping dementia care in long-term care (LTC) settings. This critical reflection paper, co-authored by co-researchers (people living with dementia and family partners), explores the perceived potential, limitations, and ethical considerations of implementing a robot LOVOT in LTC. Methods: This paper presents a critical reflection based on interviews conducted and analyzed using a reflexive thematic approach. Among 12 co-researchers, three were older adults living with dementia; eight were family care partners and one was an older adult partner. Results: Three themes identified include (a) LOVOT's role in supporting engagement and stimulating conversation, (b) the irreplaceability of human touch and emotional nuances, and (c) concerns about ownership and equitable resource allocation. Discussion: Older adults emphasized that LOVOT has the potential to act as an active role as a companion for older adults with dementia. They also identified opportunities for improvement in design, especially around cultural responsiveness, technological familiarity and safety. Implications: This reflection brings forward the lived experience perspectives from older adults with dementia, and family partners as co-researchers, offering valuable insights to guide ethical and person-centered implementation of SARs like LOVOT in LTC settings.
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Registered trials
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.