{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T10:39:47Z","timestamp":1793356787723,"version":"4.5.0"},"reference-count":75,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"French government grant managed by the Agence Nationale de la Recherche","award":["ANR-23-PAVH-0005"],"award-info":[{"award-number":["ANR-23-PAVH-0005"]}],"id":[{"id":"https:\/\/ror.org\/00rbzpz17","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Population aging is leading to increased demand for health and long-term care. Artificial intelligence (AI)-based assistive technologies have been developed to support autonomy and care for older adults, yet real\u2011world adoption remains limited. We review evidence on acceptance and determinants of acceptance of AI\u2011based assistive technologies among older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a scoping review using the Joanna Briggs Institute methodology and followed Preferred Reporting Items for Systematic reviews and Meta-Analyses\u2011Scoping Review guidelines for reporting. Four databases (PubMed, Embase, Web of Science, Cochrane) were searched for studies published from January 2010 to June 2025, initially in any language. We included studies examining acceptance and determinants of acceptance of AI-based assistive technologies among adults aged 65\u2009years and older. We synthesized data using inductive thematic analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Twenty\u2011nine studies met the inclusion criteria, with over one-third conducted in Europe (n\u2009=\u200910). Overall attitudes toward AI\u2011based assistive technologies were generally favorable when technologies were perceived as useful, easy to use, and tailored to needs. However, actual use was low. Acceptance was associated with socio\u2011demographic (eg, age, residence), medical (eg, frailty, self\u2011rated health), psychosocial (eg, stigma), and structural (eg, cost, accessibility) determinants, as well as with institutional and relational factors (eg, preservation of human contact).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>While older adults have generally positive views of AI\u2011based assistive technologies, adoption is slow because of intersecting psychosocial, economic, technical, and organizational barriers. User\u2011centered design, care-led innovation approaches, and implementation strategies that complement\u2014rather than replace\u2014human support may facilitate uptake and sustained use. Development of standardized assessment tools is needed to enable cross-study comparability and guide future research.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/gerona\/glag238","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T18:26:33Z","timestamp":1789755993000},"source":"Crossref","is-referenced-by-count":0,"title":["Acceptance of AI-based assistive technologies for autonomy support among older adults: a scoping review"],"prefix":"10.1093","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3860-5203","authenticated-orcid":false,"given":"Sekou Oumarou","family":"Thera","sequence":"first","affiliation":[{"name":"Marseille University Hospital (AP-HM) Department of Internal Medicine, Geriatrics and Therapeutics, , Marseille,","place":["France"]},{"name":"Aix Marseille University CNRS, EFS, ADES, 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