ReviewZeitschrift fur Gerontologie und Geriatrie2025
[How older people are learning through artificial intelligence-assisted health technologies : Cute seals and nervous fall sensors].
Review in Zeitschrift fur Gerontologie und Geriatrie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the growing use of artificial intelligence (AI) in various areas of life, AI technologies are increasingly being developed for the nursing and care of older people and are intended to contribute to greater safety for older people in need of care and to relieve the burden on caregivers; however, research into the attitudes and practices of older people in need of care towards AI is only just beginning.
objectiveThe aim of the article is to ask which learning processes emerge as older nursing home residents interact with AI technologies and how these can be supported with concepts from geragogy. MATERIAL AND
methodsThe data consist of 10 guideline-assisted interviews with older nursing home residents aged 83-96 years and records of participant observations (75 h). Data collection took place in summer 2022 and fall 2023 in two nursing homes that use AI-based fall sensors and social robots. The material was analyzed using situation analysis.
resultsNursing home residents showed an active interest in engaging with AI technologies, for example, by trying to relate experiences with AI technologies with experiences from their life course (biography-oriented learning practices) and engaging with AI technologies in everyday life (everyday-oriented learning practices). Residents are therefore interested actors in processes of technology implementation but rarely perceive themselves as competent in the context of AI.
conclusionThe article shows the learning practices and potentials of residents and discusses possibilities of a geragogical approach for a differentiated understanding of AI technologies in nursing.
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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.